AI Creative & Design Jobs

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Engineering at Ada Everyone at Ada is an “Ada Owner”, this refers not just to the fact that you share in the equity, but also the expectation we have of you, and the agency you are given, to influence and shape our technical roadmap. True to our value of “Always Be Improving”, we are a team of folks who have the drive to grow themselves, and others around them, resulting in a challenging, but fulfilling environment.   With AI and LLMs central to our business, staying proficient and evolving alongside advancements in this field is crucial for success.  Our Role As a Senior Software Engineer on our Voice team, you will be working with internal and external stakeholders, product managers, and designers to execute Ada’s roadmap to deliver a best-in-class voice experience for our customers. Our team is focused on making it as easy as possible for Ada to be deployed in all the channels where our customers and their end users are having conversations. About You 5+ years of experience as a Software Engineer and proficient with backend technologies (with a strong preference for Python) Understanding of databases such as MongoDB, PostgreSQL, ElasticSearch and in-memory stores such as Redis Experience with 3rd party LLMs, such as GPT, Azure, Anthropic etc. A good understanding and direct experience with CCaaS, SIP, WebRTC, IVR, and Telephony ecosystems, including knowledge of VoIP protocols and contact centre technologies is a benefit. Experience deploying code and strong developer operations Experience working with public APIs to build reliable third-party integrations Collaborative leadership style to help the team grow and deliver high quality code Outcomes Execute on our ambitious product roadmap Provide your perspective and ideas to help level up our current development practices Review the team’s code, provide insightful feedback, foster collaborative community and teach everyone something new Ensure that the team is providing the best AI Agent platform experience to our internal developers and external partners Participate in an on-call rotation for the services the team owns, triaging and addressing production issues The expected salary range for this position is $135,000 - $170,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! (This role can be remote or hybrid role based in New York City or Redwood City or Redwood City + San Francisco) As a ML Delivery Manager, you will be instrumental in overseeing the successful execution and delivery of machine learning use cases to our enterprise customers. This role requires a blend of strong project management skills, technical aptitude, and excellent communication abilities to effectively navigate projects from conception to completion. Working in a professional services capacity, you will collaborate with internal and external data scientists and machine learning engineers, business leaders, and account teams to deliver positive business impacts for our strategic customers via machine learning use cases. Main Responsibilities Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations. Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule. Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively. Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders. Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty. Collaborate closely with internal stakeholders including sales, product, customer success, and engineering teams to ensure successful delivery of use cases, supporting the overall customer success strategy. Improve Snorkel’s end-to-end delivery through incorporation of learnings and customer feedback into delivery processes. Minimum Qualifications 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager. 2+ years experience as a lead project manager, preferably in a technology or consulting environment. Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor. Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously. Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects. B.S. degree in Business Administration, Engineering, or comparable degree/experience. Travel up to 20% based on customer needs. Preferred Qualifications Previous experience working on machine learning projects or industry knowledge of standard and emerging technologies in the machine learning space. Experience working at a B2B software company. Strong desire to help people solve problems with the ability to explain complex technical concepts to a broad audience and influence internal and external stakeholders through strong interpersonal skills. Consultative skills including the ability to work as a trusted partner to a customer, taking into account their business objectives and appropriately tailoring approaches. Passion or interest in expanding knowledge of machine learning use cases including predictive and generative AI in the enterprise.   #LI-CG1 Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI is building at a furious pace with the latest hardware to help people understand the universe and we are in need of Network Development Engineers (NDEs) who have at least 5+ years of experience in hyper scale data center networks and their ancillary networks that power them. You will own all the production networks that reside in the data centers, including our primary front and backend networks that train Grok and that customers use for inference. Engineers will own all aspects from design and development to build and operations. You will be expected to participate in a team oncall rota and to contribute to scaling and maintenance efforts. Responsibilities Will Include - Designing and implementing scalable network architectures for AI/HPC workloads. - Automating network operations, monitoring, and troubleshooting using scripting and tools. - Collaborating with cross-functional teams on data center buildouts and optimizations. - Analyzing network performance metrics to identify and resolve bottlenecks. - Ensuring high availability and security of production networks. Location Work will be in-office based out of either Palo Alto, California or Dublin, Ireland. There will be significant travel expected to Memphis, Tennessee for data center buildouts. For Dublin-based employees, additional travel to our head office in Palo Alto will be required for team collaboration. Travel to Memphis may account for up to 25-30% of time during peak buildout phases. Required Qualifications - A minimum of 5 years designing and operating hyper scale networks. - At least 3 years in either or both the ethernet/infiniband AI/HPC space. - Familiarity with networking protocols and tools (e.g., BGP, OSPF, ZTP etc.). - Experience with Python scripting and the ability to automate repetitive tasks and to acquire pertinent metrics and analyze large sets of data. - Deep understanding of RoCEv2. - Bachelor's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience). Preferred Experiences - Experience in AI/ML infrastructure or large-scale GPU clusters. - Proven track record in on-call rotations and incident response in high-stakes environments. - Strong problem-solving skills and ability to thrive in a fast-paced, ambiguous setting. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to an initial interview (45 minutes - 1 hour) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four interviews: Coding assessment in a language of your choice. Data center network technologies Manager Interview. Meet and greet  with the team with a presentation of a large scale solution or problem you owned, start to finish. Our goal is to finish the main process within one week. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About the RoleAt Luma, the Post-training team is responsible for unlocking creative control in the world’s largest and most powerful pre-trained multimodal models. The team works closely with the Fundamental Research team and the Product teams across Luma to train our image and video generative models improving their capabilities in the final step refining them to be better aligned with what our users expect.What You’ll DoOptimize Luma's image and video generative models through targeted fine-tuning to improve visual quality, instruction adherence, and overall performance metrics.Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards.Partner closely with the Applied Research team to identify product requirements, understand diverse use cases across Luma's platforms, and execute targeted fine-tuning initiatives to address performance gaps and enhance user-facing capabilities.Conduct comprehensive side-by-side evaluations comparing model performance against leading market competitors, systematically analyzing the impact of post-training techniques on downstream performance metrics and identifying areas for improvement.Develop advanced post-training capabilities for Luma’s video models including Camera control, Object & character Reference, Image & Video Editing, Human Performance & Motion Transfer Approaches.Architect data processing pipelines for large-scale video and image datasets, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories.Research and deploy cutting-edge diffusion sampling methodologies and hyperparameter optimization strategies to achieve superior performance on established visual quality benchmarks.Research emerging post-training methodologies in generative AI, evaluate their applicability to Luma's product ecosystem, and integrate promising techniques into our Post-training recipe.QualificationsAdvanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies. Demonstrated ability to do independent research in Academic or Industry settings.Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures.Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization.Strong orientation toward applied AI implementations with emphasis on translating product requirements into technical solutions, coupled with exceptional visual discrimination and dedicated focus on enhancing visual fidelity and aesthetic quality of generated content.Proficiency in accelerated prototyping and demonstration development for emerging features, facilitating efficient iteration cycles and comprehensive stakeholder evaluation prior to production implementation.Established track record of effective cross-functional teamwork, including successful partnerships with teams spanning Product, Design, Evaluation, Applied, and creative specialists.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Note: this is our Canada job posting. You can find our US and UK job postings on our careers page. Please apply by August 17! Responsibilities: The Anthropic Fellows Program is an external collaboration program focused on accelerating progress in AI safety research by providing promising talent with an opportunity to gain research experience. The program will run for about 2 months, with the possibility of extension for another 4 months, based on how well the collaboration is going. Our goal is to bridge the gap between industry engineering expertise and the research skills needed for impactful work in AI safety. Fellows will use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). Fellows will receive substantial support - including mentorship from Anthropic researchers, funding, compute resources, and access to a shared workspace - enabling them to develop the skills to contribute meaningfully to critical AI safety research. We aim to onboard our next cohort of Fellows in October 2025, with later start dates being possible as well. What To Expect Direct mentorship from Anthropic researchers Connection to the broader AI safety research community Weekly stipend of 2,350 CAD & access to benefits (benefits vary by country but include medical, dental, and vision insurance) Funding for compute and other research expenses This role will be employed by our third-party talent partner, and may be eligible for benefits through the employer of record. Mentors & Research Areas Fellows will undergo a project selection & mentor matching process. Potential mentors include Ethan Perez Jan Leike Emmanuel Ameisen Jascha Sohl-Dickstein Sara Price Samuel Marks Joe Benton Akbir Khan Fabien Roger Alex Tamkin Nina Panickssery Collin Burns Jack Lindsey Trenton Bricken Evan Hubinger Our mentors will lead projects in select AI safety research areas, such as: Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.  Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions. You may be a good fit if you: Are motivated by reducing catastrophic risks from advanced AI systems Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic Please note: We do not guarantee that we will make any full-time offers to Fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic, and external collaborations have historically provided our teams with substantial evidence that someone might be a good hire. Have a strong technical background in computer science, mathematics, physics, or related fields Have strong programming skills, particularly in Python and machine learning frameworks Can work full-time on the fellowship for at least 2 months, and ideally 6 months Have or can obtain US, UK, or Canadian work authorisation, and are able to work full-time out of Berkeley or London (or remotely if in Canada). While we are not able to sponsor visas, we are able to support Fellows on F-1 visas who are eligible for full-time OPT/CPT. Are comfortable programming in Python Thrive in fast-paced, collaborative environments Can execute projects independently while incorporating feedback on research direction We’re open to all experience levels and backgrounds that meet the above criteria – you do not, for example, need prior experience with AI safety or ML. We particularly encourage applications from underrepresented groups in tech. Strong candidates may also have: Experience with empirical ML research projects Experience working with Large Language Models Experience in one of the research areas (e.g. Interpretability) Experience with deep learning frameworks and experiment management Track record of open-source contributions Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials Interview process: We aim to onboard our next cohort of Fellows in October 2025, with the possibility of later start dates for some fellows. Please note that if you are accepted into the October cohort, we expect that you will be available for several hours of mentor matching in October, although you may start the full-time program later. To ensure we can start onboarding Fellows in October 2025, we will complete interviews on a rolling basis until August 17, after which we will conduct interviews at specific timeslots on pre-specified days. We will also set hard cut-off dates for each stage - if you are not able to make that stage’s deadline, we unfortunately will not be able to proceed with your candidacy.  We've outlined the interviewing process below, but this may be subject to change. Initial Application and References  Submit your application below by August 17! In the application, we’ll also ask you to provide references who can speak to what it’s like to work with you. Technical Assessment You will complete a 90-minute coding screen in Python As a quick note - we know most auto-screens are pretty bad. We think this one is unusually good and for some teams, give as much signal as an interview. It’s a bunch of reasonably straightforward coding that involves refactoring and adapting to new requirements, without any highly artificial scenarios or cliched algorithms you’d gain an advantage by having memorized. We'll simultaneously collect written feedback from your references during this stage. Technical Interview You'll schedule time to do a coding-based technical interview that does not involve any machine learning (55 minutes) Final interviews   The final interviews consist of two interviews: Research Discussion (15 minutes) – Brainstorming session with an Alignment Science team lead to explore research ideas and approaches Take-Home Project (5 hours work period + 30 minute review) – Research-focused project that demonstrates your technical and analytical abilities In parallel, we will conduct reference calls. Offer decisions We aim to extend all offers by early October, and finalize our cohort shortly after. We will extend offers on a rolling basis and set an offer deadline of 1 week. However, if you need more time for the offer decision, please feel free to ask for it! After we select our initial cohort, we will kick off mentor matching and project selection in mid/late-October (the first week of the program). This will involve several project discussion sessions and follow-up discussions. We'll extend decisions about extensions in mid-December. Extended fellowships will end in mid/late-April. Compensation (CAD): This role is not a full-time role with Anthropic, and will be hired via our third-party talent partner. The expected base pay for this role is 2,350 CAD/week, with an expectation of 40 hours per week.  Role-Specific Location Policy: While we currently expect all staff to be in one of our offices at least 25% of the time, this role is exempt from that policy and can be done remotely from anywhere in Ontario or British Columbia. Please note: The logistics below this section does not apply to this job posting (for example, we are not able to sponsor visas for Fellows).Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Note: this is our UK job posting. You can find our US and Canada job postings on our careers page. Please apply by August 17! Responsibilities: The Anthropic Fellows Program is an external collaboration program focused on accelerating progress in AI safety research by providing promising talent with an opportunity to gain research experience. The program will run for about 2 months, with the possibility of extension for another 4 months, based on how well the collaboration is going. Our goal is to bridge the gap between industry engineering expertise and the research skills needed for impactful work in AI safety. Fellows will use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). Fellows will receive substantial support - including mentorship from Anthropic researchers, funding, compute resources, and access to a shared workspace - enabling them to develop the skills to contribute meaningfully to critical AI safety research. We aim to onboard our next cohort of Fellows in October 2025, with later start dates being possible as well. What To Expect Direct mentorship from Anthropic researchers Connection to the broader AI safety research community Weekly stipend of 1300 GBP & access to benefits (benefits vary by country but include medical, dental, and vision insurance) Funding for compute and other research expenses Shared workspaces in Berkeley, California and London, UK This role will be employed by our third-party talent partner, and may be eligible for benefits through the employer of record. Mentors & Research Areas Fellows will undergo a project selection & mentor matching process. Potential mentors include Ethan Perez Jan Leike Emmanuel Ameisen Jascha Sohl-Dickstein Sara Price Samuel Marks Joe Benton Akbir Khan Fabien Roger Alex Tamkin Nina Panickssery Collin Burns Jack Lindsey Trenton Bricken Evan Hubinger Our mentors will lead projects in select AI safety research areas, such as: Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.  Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions. You may be a good fit if you: Are motivated by reducing catastrophic risks from advanced AI systems Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic Please note: We do not guarantee that we will make any full-time offers to Fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic, and external collaborations have historically provided our teams with substantial evidence that someone might be a good hire. Have a strong technical background in computer science, mathematics, physics, or related fields Have strong programming skills, particularly in Python and machine learning frameworks Can work full-time on the fellowship for at least 2 months, and ideally 6 months Have or can obtain US, UK, or Canadian work authorisation, and are able to work full-time out of Berkeley or London (or remotely if in Canada). While we are not able to sponsor visas, we are able to support Fellows on F-1 visas who are eligible for full-time OPT/CPT. Are comfortable programming in Python Thrive in fast-paced, collaborative environments Can execute projects independently while incorporating feedback on research direction We’re open to all experience levels and backgrounds that meet the above criteria – you do not, for example, need prior experience with AI safety or ML. We particularly encourage applications from underrepresented groups in tech. Strong candidates may also have: Experience with empirical ML research projects Experience working with Large Language Models Experience in one of the research areas (e.g. Interpretability) Experience with deep learning frameworks and experiment management Track record of open-source contributions Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials Interview process: We aim to onboard our next cohort of Fellows in October 2025, with the possibility of later start dates for some fellows. Please note that if you are accepted into the October cohort, we expect that you will be available for several hours of mentor matching in October, although you may start the full-time program later. To ensure we can start onboarding Fellows in October 2025, we will complete interviews on a rolling basis until August 17, after which we will conduct interviews at specific timeslots on pre-specified days. We will also set hard cut-off dates for each stage - if you are not able to make that stage’s deadline, we unfortunately will not be able to proceed with your candidacy.  We've outlined the interviewing process below, but this may be subject to change. Initial Application and References  Submit your application below by August 17! In the application, we’ll also ask you to provide references who can speak to what it’s like to work with you. Technical Assessment You will complete a 90-minute coding screen in Python As a quick note - we know most auto-screens are pretty bad. We think this one is unusually good and for some teams, give as much signal as an interview. It’s a bunch of reasonably straightforward coding that involves refactoring and adapting to new requirements, without any highly artificial scenarios or cliched algorithms you’d gain an advantage by having memorized. We'll simultaneously collect written feedback from your references during this stage. Technical Interview You'll schedule time to do a coding-based technical interview that does not involve any machine learning (55 minutes) Final interviews   The final interviews consist of two interviews: Research Discussion (15 minutes) – Brainstorming session with an Alignment Science team lead to explore research ideas and approaches Take-Home Project (5 hours work period + 30 minute review) – Research-focused project that demonstrates your technical and analytical abilities In parallel, we will conduct reference calls. Offer decisions We aim to extend all offers by early October, and finalize our cohort shortly after. We will extend offers on a rolling basis and set an offer deadline of 1 week. However, if you need more time for the offer decision, please feel free to ask for it! After we select our initial cohort, we will kick off mentor matching and project selection in mid/late-October (the first week of the program). This will involve several project discussion sessions and follow-up discussions. We'll extend decisions about extensions in mid-December. Extended fellowships will end in mid/late-April. Compensation (GBP): This role is not a full-time role with Anthropic, and will be hired via our third-party talent partner. The expected base pay for this role is £1,300/week, with an expectation of 40 hours per week.  Role-Specific Location Policy: While we currently expect all staff to be in one of our offices at least 25% of the time, this role is exempt from that policy and can be done remotely from anywhere in the UK. However, we strongly prefer candidates who can be based in London and make use of the shared workspace we've secured for our Fellows. Please note: The logistics below this section does not apply to this job posting (for example, we are not able to sponsor visas for Fellows).The expected salary range for this position is:Annual Salary:£67,600—£67,600 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Note: this is our US job posting. You can find our UK and Canada job postings on our careers page. Please apply by August 17! Responsibilities: The Anthropic Fellows Program is an external collaboration program focused on accelerating progress in AI safety research by providing promising talent with an opportunity to gain research experience. The program will run for about 2 months, with the possibility of extension for another 4 months, based on how well the collaboration is going. Our goal is to bridge the gap between industry engineering expertise and the research skills needed for impactful work in AI safety. Fellows will use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). Fellows will receive substantial support - including mentorship from Anthropic researchers, funding, compute resources, and access to a shared workspace - enabling them to develop the skills to contribute meaningfully to critical AI safety research. We aim to onboard our next cohort of Fellows in October 2025, with later start dates being possible as well. What To Expect Direct mentorship from Anthropic researchers Connection to the broader AI safety research community Weekly stipend of $2,100 USD & access to benefits (including access to medical, dental, and vision insurance, a Health Savings Account, an Employee Assistance Program, and a 401(k) retirement plan) Funding for compute and other research expenses Shared workspaces in Berkeley, California and London, UK This role will be employed by our third-party talent partner, and may be eligible for benefits through the employer of record. Mentors & Research Areas Fellows will undergo a project selection & mentor matching process. Potential mentors include Ethan Perez Jan Leike Emmanuel Ameisen Jascha Sohl-Dickstein Sara Price Samuel Marks Joe Benton Akbir Khan Fabien Roger Alex Tamkin Nina Panickssery Collin Burns Jack Lindsey Trenton Bricken Evan Hubinger Our mentors will lead projects in select AI safety research areas, such as: Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.  Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions. You may be a good fit if you: Are motivated by reducing catastrophic risks from advanced AI systems Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic Please note: We do not guarantee that we will make any full-time offers to Fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic, and external collaborations have historically provided our teams with substantial evidence that someone might be a good hire. Have a strong technical background in computer science, mathematics, physics, or related fields Have strong programming skills, particularly in Python and machine learning frameworks Can work full-time on the fellowship for at least 2 months, and ideally 6 months Have or can obtain US, UK, or Canadian work authorisation, and are able to work full-time out of Berkeley or London (or remotely if in Canada). While we are not able to sponsor visas, we are able to support Fellows on F-1 visas who are eligible for full-time OPT/CPT. Are comfortable programming in Python Thrive in fast-paced, collaborative environments Can execute projects independently while incorporating feedback on research direction We’re open to all experience levels and backgrounds that meet the above criteria – you do not, for example, need prior experience with AI safety or ML. We particularly encourage applications from underrepresented groups in tech. Strong candidates may also have: Experience with empirical ML research projects Experience working with Large Language Models Experience in one of the research areas (e.g. Interpretability) Experience with deep learning frameworks and experiment management Track record of open-source contributions Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials Interview process: We aim to onboard our next cohort of Fellows in October 2025, with the possibility of later start dates for some fellows. Please note that if you are accepted into the October cohort, we expect that you will be available for several hours of mentor matching in October, although you may start the full-time program later. To ensure we can start onboarding Fellows in October 2025, we will complete interviews on a rolling basis until August 17, after which we will conduct interviews at specific timeslots on pre-specified days. We will also set hard cut-off dates for each stage - if you are not able to make that stage’s deadline, we unfortunately will not be able to proceed with your candidacy.  We've outlined the interviewing process below, but this may be subject to change. Initial Application and References  Submit your application below by August 17! In the application, we’ll also ask you to provide references who can speak to what it’s like to work with you. Technical Assessment You will complete a 90-minute coding screen in Python As a quick note - we know most auto-screens are pretty bad. We think this one is unusually good and for some teams, give as much signal as an interview. It’s a bunch of reasonably straightforward coding that involves refactoring and adapting to new requirements, without any highly artificial scenarios or cliched algorithms you’d gain an advantage by having memorized. We'll simultaneously collect written feedback from your references during this stage. Technical Interview You'll schedule time to do a coding-based technical interview that does not involve any machine learning (55 minutes) Final interviews   The final interviews consist of two interviews: Research Discussion (15 minutes) – Brainstorming session with an Alignment Science team lead to explore research ideas and approaches Take-Home Project (5 hours work period + 30 minute review) – Research-focused project that demonstrates your technical and analytical abilities In parallel, we will conduct reference calls. Offer decisions We aim to extend all offers by early October, and finalize our cohort shortly after. We will extend offers on a rolling basis and set an offer deadline of 1 week. However, if you need more time for the offer decision, please feel free to ask for it! After we select our initial cohort, we will kick off mentor matching and project selection in mid/late-October (the first week of the program). This will involve several project discussion sessions and follow-up discussions. We'll extend decisions about extensions in mid-December. Extended fellowships will end in mid/late-April. At each stage, you'll receive more detailed instructions via email. While we have hard deadlines for each stage, we will be assessing candidates and making offer decisions on a rolling basis, so we encourage you to complete each stage as soon as possible.  Compensation (USD): This role is not a full-time role with Anthropic, and will be hired via our third-party talent partner. The expected base pay for this role is $2,100/week, with an expectation of 40 hours per week.  Role-Specific Location Policy: While we currently expect all staff to be in one of our offices at least 25% of the time, this role is exempt from that policy and can be done remotely from anywhere in the US. However, we strongly prefer candidates who can be based in the Bay Area and make use of the shared workspace we've secured for our Fellows. Please note: The logistics below this section does not apply to this job posting (for example, we are not able to sponsor visas for Fellows).The expected salary range for this position is:Annual Salary:$109,200—$109,200 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a GlanceGecko Robotics is expanding its platform team and seeking a visionary Robotics Engineering Lead to drive technical excellence, scale the team, and accelerate the development of our next-generation robotic systems. You’ll oversee the embedded software, firmware, and electronics at the core of our robotics platform—driving high-impact solutions for national security, energy resilience, and industrial intelligence in some of the most complex environments on earth.You’ll work alongside a team that has launched multiple robotic solutions in recent years and is deeply familiar with the full lifecycle of design, development, and deployment. We’re looking for a teammate who can challenge our assumptions, bring fresh ideas, and raise the bar across every phase of execution.This role is based in NYC, Boston or Pittsburgh and will involve up to 30% travel, primarily to support team collaboration, field testing, and cross-site integration efforts.What You’ll DoLead and scale the Robotics Platform team from our NYC, Boston or Pittsburgh office, fostering a culture of collaboration, technical rigor, and innovation.Drive hiring and team development, growing a high-performing, multidisciplinary engineering group across multiple office locations (Boston, NYC, Pittsburgh).Own project structure: Define project goals, scope, resourcing, and success criteria to ensure timely and high-quality execution.Oversee the design, prototyping, testing, and deployment of hardware and embedded solutions, ensuring they meet both customer needs and industry standards.Champion cross-functional collaboration with teams across mechanical, electrical, embedded, software, product, and sales.Mentor and guide technical leads and engineers across levels, developing internal talent and technical leadership capacity.Ensure effective communication and alignment across locations and functions, acting as a technical and organizational bridge.Guide the evolution of our core robotic fleet, focusing on scalability, reliability, and reuse across platforms and missions.Enable fast iteration cycles, rapid field testing, and feedback loops that result in robust, field-ready robotic systems.About YouBachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field.Proven experience leading multidisciplinary teams in the development of deployed robotic systems, especially in industrial or harsh environments.Strong grasp of embedded systems and electronics, including firmware, high-speed interfaces, analog acquisition, and power electronics.Experience with full product lifecycle: from blank-slate prototyping to field deployment and scaling for production.Skilled at balancing near-term project deliverables with long-term technical vision.Deep appreciation for designing for the user — from usability to maintainability in challenging environments.Comfortable working in fast-paced, ambiguity-rich environments, making high-quality decisions with imperfect information.Collaborative leader with a track record of influencing across orgs and developing talent.Excellent communicator with the ability to align technical and non-technical stakeholders.Experience interfacing with suppliers and 3rd-party vendors, as well as cross-functional engineering peers.Willing and able to travel approximately 30% of the time to Gecko office locations and field sites as needed.Why Join UsReal-World Impact: Your work powers missions in national security, defense, and infrastructure — places where failure isn’t an option.Rapid Development Cycles: Skip the bureaucracy — we build, test, and deploy quickly, with tight integration between field and engineering teams.Technical Breadth: Our robots span land, sea, and air. You’ll work on high-performance embedded systems, edge compute, sensor fusion, and beyond.Mission-Driven Work: Gecko is redefining how we understand and maintain the physical world. From inside power plants to under submarines — we go where humans can’t.Ownership and Growth: This is a leadership role with visibility, agency, and the mandate to shape Gecko’s hardware future.Technologies We UseWhile the role emphasizes systems thinking over tool-chasing, here are some of the technologies you might engage with:High-speed interfaces: 1000Base-T, 10GBase-T, USB 3.1, GMSL, MIPI CSI-2Mixed-signal/analog acquisition: <1mV precision, up to 10MSPS, 12–16 bit resolutionPower electronics: Offline power supplies (<2kW), field-oriented motor control (hundreds of watts), and batteries ( ~100Wh, 5s Lithium-Ion)Mechanical and thermal integration: Compact, sealed enclosures designed for high ambient tempsRelated mechanical design concepts: DFA, DFM, FEA, CAD, GD&T, DFMEA, product lifecycle frameworksWho We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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YOUR MISSION: As an Engineering Manager for Developer Experience (f/m/d)* at Parloa, you will guide a team dedicated to maximizing engineering productivity, quality, and satisfaction. Your mission is to create an exceptional developer experience that enables our engineering teams to build, test, and deploy high-quality software efficiently while meeting compliance and security requirements. Through innovative tooling, automation, and streamlined workflows, you'll support engineers to focus on creating value rather than struggling with process friction.   IN THIS ROLE YOU WILL: Build and nurture a Developer Experience team focused on enhancing engineering productivity and satisfaction Design and implement a strategic roadmap for developer tooling, automation, and workflow improvements Establish metrics to measure engineering productivity, quality, and compliance, using data to guide improvements Implement streamlined CI/CD pipelines and processes that balance speed with security and quality Collaborate with security and compliance teams to integrate guardrails that protect without impeding velocity Cultivate a culture of engineering excellence through shared best practices, standards, and documentation Partner with engineering leaders to identify and address developer friction points and productivity bottlenecks Create effective onboarding experiences for new engineers   WHAT YOU BRING TO THE TABLE: Experience guiding teams focused on developer productivity, platform engineering, or developer tools Solid technical background with hands-on experience in software development and engineering workflows Knowledge of modern CI/CD practices (GitHub Actions, GitOps), testing frameworks, and developer tooling ecosystems Strong expertise in Secure Software Development Life Cycle (SSDLC) practices and implementation Familiarity with developer portals, internal platforms, and self-service tooling like Backstage or custom solutions Design and implement "golden path" experiences that provide well-documented workflows for common engineering tasks, reducing cognitive load while maintaining flexibility for innovation and expansion Experience implementing developer-centric security and compliance controls within development processes (static analysis, dependency scanning, policy enforcement) Effective communication skills for connecting technical concepts with business value Data-informed approach to measuring and improving engineering efficiency Demonstrated success in attracting, developing, and retaining diverse engineering talent Understanding of developer needs and challenges, with dedication to improving developer experience NICE TO HAVE: Experience with AI-assisted development workflows and LLM integration into toolchains WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Expert interviews → Interview with CTO    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing, we deliver AI-based capabilities and the enabling foundation that allows machines to perceive and assist human decision-making. An important element of this is to describe (flight) system dynamics in order to rapidly develop and evaluate control and AI-based capabilities.   In this role, you will work in a small team and be responsible for building and validating models for system dynamics from first principles using numerical predictions and test data. The day-to-day Perform aerodynamic simulations of different fidelity levels and develop aerodynamic models to predict the behavior of a future arial platform Plan aerodynamic characterisation jointly with flight dynamics modelling group Build and mature in depth understanding of complex aerodynamic effects and leverage that in model reviews Report findings regularly to Chief Engineering and contribute to product improvements Validate computational methods with experimental data (eg, system tests, flight tests) and contribute to planning experimental characterization Build and continuously improve efficient workflows for computational aerodynamics Collaborate closely with interfacing disciplines such as Flight Dynamics Modelling, Flight Control, and Testing You should apply if you Hold a M.Sc. in Aeronautical Engineering, Mechanical Engineering or an equivalent degree.  Have at least 5 years of professional experience in applied (computational) aerodynamics preferably on fixed-wing aircraft Have a solid background in flight mechanics and systems modelling Have excellent communication skills and the ability to report and present findings clearly and efficiently both internally and externally. Possess solid software engineering skills, writing well-structured code in Python, Matlab or Rust Have some experience with Star-CCM+ i (desirable) Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing, we deliver AI-based capabilities and the enabling foundation that allows machines to perceive and assist human decision-making. An important element of this is to describe (flight) system dynamics in order to rapidly develop and evaluate control and AI-based capabilities.   In this role, you will work in a small team and be responsible for building and validating models for system dynamics from first principles using numerical predictions and test data. The day-to-day Develop flights dynamics models for different aerial platforms end to end: from model architecture definition and specification of numerical/experimental campaigns all the way to model validation in flight test  Support the specification and execution of tests for model validation Collaborate with interfacing disciplines such as Control, Aerodynamics, and Testing Follow and analyse flight tests You should apply if you Hold a M.Sc. in Aeronautical Engineering, Mechanical Engineering or an equivalent degree Have at least 5 years of professional experience in flight dynamics modelling  Have very good skills in Matlab/Simulink Have a solid background in aerodynamics, stability and control, and systems modelling Have excellent communication skills and the ability to report and present findings clearly and efficiently both internally and externally. Possess solid software engineering skills, writing clean and well-structured code in Matlab and/or languages like Python, Rust, Java, or modern C++ Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art dynamics modelling Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have Experience with control systems design, applied aerodynamics, system identification Previous experience in deploying dynamics models to real time test rigs such as HIL A (private) pilot license and/or flying RC model planes Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As an Avionics Systems Engineer for Mission Systems, you will be responsible for the development and delivery of mission computing hardware, working closely with industry partners. You will be responsible not only for defining the system, but also driving it through all development stages and ultimately onto the flying platform. In achieving this goal you will work with a diverse, high-calibre team of experts, strategists and partners. The day-to-day Lead the technical development of high performance Mission Computer Hardware in close collaboration with internal teams and partners Plan and lead the execution of the systems engineering lifecycle, from requirements development to qualification. Plan and lead the preparation of technical deliverables and documentation Plan test activities and support the development of test facilities Create the certification and compliance documentation and ensure adherence to aviation and regulatory standards throughout the development lifecycle Work closely with internal and external stakeholders Provide regular reporting on project status and technical changes to Chief Engineering and Programme Management You should apply if you Hold a relevant degree such as a Bachelor's or Master's in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field Have led the design and development of Integrated Modular Avionics (IMA) computing platforms for airborne mission computers, including tasks related to systems engineering, certification, and avionics integration Are a subject matter expert in military open standards for avionics, for example, MOSA, SOSA, FACE and Pyramid and their application to hardware development Have a deep knowledge of the development of avionics complex HW & SW development and have experience in the application of DO-178C, DO-254 and DO-297 standards Have operational experience with mission systems is an advantage Possess excellent communication skills and the ability to report and present results clearly and effectively to both internal and external stakeholders. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As an Avionics Systems Engineer for Safety Critical Systems, you will be responsible for the development and delivery of safety critical flight control and vehicle management hardware and software, working closely with industry partners.  You will be responsible not only for defining the system, but also driving it through all development stages and ultimately onto the flying platform.  In achieving this goal you will work with a diverse,  high-calibre team of experts, strategists and partners. The day-to-day Lead the technical development of system architectures and define requirements for Safety Critical Systems, including flight controls and air vehicle management, in close collaboration with internal teams and partners Plan and lead the execution of the systems engineering lifecycle, from requirements development to qualification. Plan and lead the preparation of technical deliverables and documentation Create the certification and compliance documentation and ensure adherence to aviation and regulatory standards throughout the development lifecycle Work closely with internal and external stakeholders Provide regular reporting on project status and technical changes to Chief Engineering and Programme Management You should apply if you Hold a relevant degree such as a Bachelor's or Master's in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field Have led the design and development of safety critical hardware and software for an airborne platform including tasks related to systems engineering, safety, aircraft certification, and avionics integration Have a deep knowledge of the development of avionics complex HW & SW development and have experience in the application of system level (ARP4754 and ARP4761) and SW/HW level (DO-178C and DO-254) standards to safety critical systems Have established a successful relationship with at least one civil or military aviation authority Have a deep knowledge of Guidance Navigation & Control and air vehicle management Possess excellent communication skills and the ability to report and present results clearly and effectively to both internal and external stakeholders. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As an Avionics Systems Engineer for communication, you will be responsible for defining the end-to-end architecture for airborne communication systems, spanning data, voice and mission critical data links. You will collaborate with industry partners and work closely with platform teams to integrate emerging technology onto air platforms. In this role you will engage with a diverse range of partners, suppliers and government stakeholders to align on standards and interoperability. Your work will be central to shaping the future of airborne mission systems. You will be responsible not only for defining the system, but also driving it through all development stages and ultimately onto the platform. In achieving this goal you will work with a diverse, high-calibre team of experts, strategists and partners. The day-to-day Lead the system design and development of airborne and ground-based communication architectures, leveraging modern technologies Manage the relationship with stakeholders, partners, suppliers and government stakeholders Manage the systems engineering lifecycle, from requirements development to qualification.  Prepare and supervise tests at system and aircraft level, including flight tests Create the certification and compliance documentation.  Ensure adherence to aviation and regulatory standards throughout the development lifecycle Provide regular reporting on project status and technical changes to Chief Engineering and Programme Management You should apply if you Hold a relevant degree such as a Bachelor's or Master's in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field Have led the design and development of a military or civil communication system for an air platform Have a deep knowledge of  military and civil communication technology, including Software defined radios, data links, air to air and air to ground communications, cybersecurity, RF comms and SATCOM, Network management, jamming, antenna design, Electronic warfare, secure comms You have familiarity with systems engineering, aircraft certification, and avionics integration Have excellent communication skills and the ability to report and present findings clearly and efficiently both internally and externally. Are passionate about keeping up to date with current research and technology. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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YOUR MISSION: As a Working Student Partner Delivery (f/m/d)* at Parloa, you will support our Partner Delivery team in ensuring the smooth implementation of our Conversational AI solutions. You will contribute to the success of our projects by assisting with partner coordination, improving delivery processes, and collaborating across teams. This role is an excellent opportunity to gain hands-on experience in a fast-paced, innovative AI SaaS environment. IN THIS ROLE YOU WILL: Help monitor partner performance and adherence to service level agreements. Contribute to internal project tracking and documentation to ensure efficient partner and project oversight. Collaborate with internal teams such as Partnerships, Customer Success (CS), and Product Management to align on partner needs and project requirements. Support partner communications, including maintaining technical content, organizing webinars, and preparing documentation. Collect and analyze internal and customer feedback to identify areas for improvement. WHAT YOU BRING TO THE TABLE: Current enrollment in a university program, ideally with a focus on business, technology, or a related field. A technical affinity and interest in understanding tools and platforms related to SaaS solutions. Strong organizational and communication skills with a proactive and solution-oriented mindset. Ability to work independently while knowing when to seek guidance or escalate issues. Motivation to learn about Conversational AI and a strong interest in Parloa’s mission and products. Fluency in English and German (min C1) NICE TO HAVE: Some experience in project support, customer-facing roles, or a SaaS environment. Familiarity with tools like CRM platforms, project management software, or data analysis tools. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Weekly sponsored office lunches, Urband Sports Club membership, regular team events, game nights, and other social activities. Work from a home and our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks   Your recruiting process at Parloa: Recruiter video call → Hiring Manager Interview → Meeting the team    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.  As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding and new functionality Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively monitor product usage across your accounts to further gauge account health Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. Effectively relay customer feature requests to internal teams and advocate for customer needs. Ensure support teams are aligned with customer requests and priorities. What We’re Looking For 3+ years of experience as a Customer Success Manager in SaaS. A self-starter mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $100,000 to $150,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.  More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About Adaptive Security:Adaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks, founded by Brian Long and Andrew Jones—proven entrepreneurs behind Attentive (Forbes Cloud 100, $10B+ valuation) and TapCommerce (acquired by Twitter). In April 2025, Adaptive raised $43M, led by a16z and the OpenAI Fund, marking OpenAI's first-ever cybersecurity investment.As generative AI drives new cyber threats, Adaptive is building the defense layer every organization needs. Our platform combines personalized security training, AI-driven attack simulations, and automated threat triage, all powered by the Adaptive Risk Intelligence Engine to quantify human risk at the individual level. Trusted by top banks, tech companies, and healthcare organizations, we protect teams from emerging threats like deepfakes, smishing, and voice scams. With a solid product foundation and a $200B+ market to transform, we're just getting started.Role:We are looking for candidates currently pursuing their BA who are able to start part-time ASAP and ramp to 20-30+ hours/week. We’re looking for hungry, detail-oriented, and technically savvy generalists to help scale our product operations across sales, customer success, and product. The ideal candidate(s) will be able to join us in our New York office. This is an operational role where you will play a critical role ensuring customer success from pre-sales through customer success. The ideal candidate will be a highly organized “jack of all trades” that is obsessed with marginal improvement and sweats the details. The candidate will drive pre-sales operations, support customer success, and explore key AI product improvements. If you are excited about getting your hands dirty operating at a high growth startup led by seasoned entrepreneurs then this role is a great fit for you. Responsibilities: Drive the pre-sales account provisioning and demo preparation process by coordinating with Inside Sales, Sales, & ProductBuild scalable processes across product, pre-sales, and post-salesExperiment with leading AI models and prompts to improve product experience for end customersHelp drive content development within our Adaptive Training productCollaborate directly with the GTM team to ensure prospective and current customers have the best Adaptive product experience they canQualifications:Currently pursuing BA from a 4 year university Interest in Artificial Intelligence: Demonstrated interest and experience working with leading AI modelsExtremely detail oriented: Demonstrated history of going above and beyond on projects while paying meticulous attention to seemingly minor detailsObsessed with Improvement: You are excited by making marginal improvements every dayOrganization: Ability to manage multiple projects at a time and prioritize the most important tasksAdaptability: Comfort with fast-paced environments and changing landscapes typical of high-growth startups.Team Player: Eagerness to work in a collaborative environment, learning from and contributing to the team’s success.What We Offer:The opportunity to play a key role in the growth of a high growth technology company that will impact millions of peopleA culture that promotes continuous learning & growth, with access to resources and mentorship to advance your skills and career.Compensation & Benefits:$22/hr Fantastic office environment with a well stocked kitchen

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SummaryHorizon3.ai is on a mission to help organizations find, fix, and verify exploitable attack paths - before attackers can. As we scale our impact with global enterprises and managed service providers, we're looking for a mission-driven, people-first Manager of Customer Success to lead and grow a high-performing team of CSMs supporting our enterprise, federal, and MSSP customers.This is a people leadership role first and foremost. You’ll serve as a coach, strategist, and operator, driving performance across the team while directly influencing customer outcomes. You’ll ensure our customers realize value from NodeZero, champion their success internally, and help define what world-class customer success looks like at Horizon3.What You’ll DoLead & Develop the Team: Coach and mentor a team of Customer Success Managers across enterprise, scale, and MSSP segments. Foster a culture of ownership, accountability, and continuous improvement.Drive Adoption & Value Realization: Ensure customers operationalize NodeZero across their environments and workflows - driving measurable improvements in security posture and outcomes.Own Strategic Customer Relationships: Engage directly with executive stakeholders (e.g., CISOs, security leadership) especially within Fortune 500 and strategic partners to align on goals, roadmap, and long-term value.Enable Expansion & Retention: Guide your team to identify and drive expansion opportunities while mitigating risk, improving health scores, and securing renewals.Collaborate Cross-Functionally: Work closely with Sales, Channel, Product, and Support teams to orchestrate seamless onboarding, resolve blockers, and advocate for customer needs.Build Operational Rigor: Own processes and reporting in Gainsight and Salesforce to monitor KPIs, track team performance, and scale consistent success delivery across the lifecycle.Develop Playbooks & Processes: Create repeatable success plans, onboarding journeys, QBR templates, and enablement resources that improve efficiency and outcomes.Voice of Customer Champion: Aggregate structured feedback to inform product and go-to-market strategy. Help shape the roadmap and GTM narratives with customer proof points. Who You Are7+ years of experience in Customer Success, Account Management, or related post-sales roles in cybersecurity or B2B SaaS2–3+ years of direct people management experience, with a track record of hiring, coaching, and leading CSMs to strong outcomesProven success meeting or exceeding goals tied to Net Revenue Retention (NRR), Gross Dollar Retention (GDR), and expansionExperience managing strategic customers (Fortune 500), with executive-level relationship management and negotiation skillsDeep understanding of security operations and/or MSSP business models (e.g., red teaming, vulnerability management, SOC workflows)Confident working with technical products and customers - able to translate customer needs into product feedback or tailored success plansStrong communicator and storyteller with excellent presentation skills and executive presenceComfortable navigating ambiguity and building post-sales programs in a fast-paced, high-growth environmentProficient in Gainsight, Salesforce, JIRA, and ConfluenceBachelor’s degree required; advanced degree or MBA is a plusOther dutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.Travel: This is a fully remote position, but successful execution of the job may require up to 30% of travel.Why H3Competitive Compensation: We offer a highly competitive salary and benefits package.Growth Opportunities: Be part of a dynamic and growing team with numerous career advancement opportunities.Innovation-Driven Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Flexible Work Environment: Enjoy the convenience and work-life balance that comes with remote work.Inclusive and Diverse Team: We value diversity and promote an inclusive culture where everyone can thrive.Compensation Disclosure:In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Salary range: $160,000 - $215,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: Equity options, and other benefits which will be discussed during the interview process.We are committed to pay equity, fairness, and transparency. All candidates will be evaluated based on their skills, experiences, and potential contributions without regard to race, gender, age, or any other protected status. Horizon3.ai is an equal opportunity employer and is committed to providing a work environment that is free from discrimination and harassment. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status.We encourage all qualified candidates to apply for open positions with our company and welcome candidates from all backgrounds and experiences. We are committed to providing equal employment opportunities to all employees and applicants for employment and will make reasonable accommodations to enable individuals with disabilities to perform the essential functions of their roles.Join Horizon3.AI’s team of passionate professionals and contribute to the growth of cutting-edge cybersecurity solutions while building strong customer relationships in a dynamic and remote work environment.

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We are looking for a technically adept Customer Success Manager to bolster our team and ensure the robust health, dependability, and progressive advancement of our platform ecosystem. You will collaborate with external users of our platform, and our internal team of machine learning scientists, protein engineers, and biologists. This role entails comprehensive ownership across the partner-facing aspects of our platform, driving adoption of new features, optimising performance for partner integrations, and developing roadmaps for internal feature development.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.Who You Are:You have a strong understanding of SaaS platforms and the ability to troubleshoot customer issues.You hold a bachelors degree or above in CS, engineering, ML or biology OR equivalent industry experience in a technical roleYou hold excellent written and verbal communication skills to effectively communicate technical and biological concepts to partners.You are a natural relationship builder, building and maintaining strong relationships with partners, and to work effectively with cross-functional teams.You are strong with analysing data, identifying trends, and developing strategies for improving partner performance, such as triaging feature requests and contributing to internal product roadmaps.You have the ability to adapt to changing partner needs and to learn new technologies quickly. What Sets You Apart:You have a background in biology and a keen understanding of AI solutions for life sciences and pharmaYour Responsibilities:Partner Onboarding and Adoption: Guiding partners through the initial stages of using the technology solution, ensuring they understand how to integrate it effectively and achieve desired outcomes.Technical Support and Troubleshooting: Responding to partner inquiries, addressing technical issues, and escalating complex problems to the appropriate internal teams.Product Development: Collect user feedback and triage feature requests, working with our internal team to develop roadmaps for future releases.,Configuration and Optimization: Helping partners configure and optimise their use of our platform to maximise its value.Relationship Management: Building and maintaining strong relationships with partners, acting as a trusted advisor and ensuring their needs are met.Performance Monitoring and Reporting: Tracking partner adoption rates, identifying areas for improvement, and reporting on key performance indicators (KPIs).Driving Business Growth: Working with partners to identify opportunities for growth and expansion, and to increase the overall value of the partnership.Training and Documentation: Creating and delivering training materials and documentation to ensure partners are well-equipped to use the technology solution effectively.You represent Latent Labs at key industry events spanning AI, biotechnology, and pharmaceuticals, including conferences and forums. Actively engage with prominent thought leaders to maintain a strong understanding of the evolving landscape of AI-driven drug discovery.Foster connections within the wider AI and biotech ecosystems, establishing Latent Labs as a respected voice in the field. Build a community by developing and nurturing relationships with academic researchers, AI experts, and other significant figures in the drug discovery sector.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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TL;DR - We’re seeking exceptional Senior Product Engineers to help build the future of AI. You will work across our entire stack to build features that will empower the next generation of creators and builders.Why Lovable?Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, solve complex problems, and bring their dreams to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value high ownership, high velocity and low-ego collaboration. We seek people who care deeply, challenge us, and are driven to build something of lasting impact.What we’re looking for5+ years of experience building and shipping full-stack productsFluent in a variety of programming languages, modern frontend (React/TypeScript) and backend (Go, Rust, or similar) developmentConcrete understanding of system design, performance tradeoffs, and scalable architectureYou have strong product sense and make well-reasoned technical decisions, knowing when to prioritize speed and when to invest in foundational workWhat you’ll doIn one sentence: Do all it takes to build a generational product and scale the core experience of lovable productsImplement and maintain features across the full stack: frontend, backend and infraOwn systems end-to-end: architecture, implementation, deployment, and iterationCollaborate closely with ML, design, and product teams to translate capabilities into intuitive, mind-blowing user experiencesDrive the full development lifecycle, from technical planning to production launch and post-release improvementsContribute to shaping our technical direction, eng culture, and product strategyOur tech stackWe're building with tools that both humans and AI love:Frontend: React for lightning-fast interfacesBackend: Golang and Rust for serious performanceCloud: Cloudflare, Fly.io, Google Cloud Run, AWS, TerraformDevOps & Tooling: CI/CD pipelines, observability, infra-as-codeAnd always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with the team.Complete the take-home exerciseShow us how you approach problems during two technical interviewsJoin us for trial work lasting 2 days preferably on-site. This is a mutual discovery process where we tackle a real challenge together - it's the best way for us to see how you collaborate, and for you to experience our team, culture, and the impact you can have.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal