AI Data Science & Analytics Jobs

false

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco, or San Jose office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday. In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure. What You’ll Do:Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-accelerated storage.Troubleshoot and debug complex issues in a production data center environment.Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.You Have:Bachelor's or Master's degree in Computer Science or a related field.5+ years of experience in software development for storage systems.Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.Strong programming skills in languages such as C, C++, Go, or Python.Deep understanding of storage protocols, including:File: NFS, SMB, LustreBlock: iSCSI, Fibre ChannelObject: S3, SwiftExperience with Linux kernel internals and system-level programming.Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.Familiarity with CI/CD and QA practices for distributed systems development environments.Nice to HaveExperience with AI/ML workloads and the unique storage challenges they present.Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).Experience with performance tuning and optimization of storage systems.Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

true

Have a passion for AI, creativity, and pushing the boundaries of what’s possible? At Moonvalley, we’re always excited to meet talented people who share our vision. Even if you don’t see the perfect role listed right now, we encourage you to get in touch! We’ll keep your details on file and reach out when a suitable opportunity arises.About MoonvalleyMoonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, OpenAI, and Meta, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started. Who You’ll Work WithOur team brings together AI researchers, engineers, product thinkers, marketers, designers, and strategists. Whether you're building AI models, driving business growth, or shaping our brand, you'll collaborate with smart, ambitious people who value bold ideas and innovation.Our MissionWe’re shaping the future of creativity with AI tools that empower artists, creators, and businesses. From generative AI to digital storytelling, our work pushes boundaries and has a global impact.How We Work Innovation drives everything we do whether in AI, marketing, product, or operations. We encourage ownership, experimentation, and creative problem-solving in a fast-moving, collaborative environment.In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workMoonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located here for further information.

false

About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds.This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale.As part of this role, you will:Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements.Ensure that deployment methodologies align with the company's reliability goals.Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing.Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities.Establish testing infrastructure to support the team in writing and executing tests effectively.Develop tools for measuring service level objectives (SLOs) and define organization-wide SLOs.Implement best practices and on-call systems, ensuring efficient incident management and up-leveling the incident management system at Anyscale.Coordinate the creation and deployment of cloud-based services, including tracking deployments and establishing effective communication channels for issue resolution.We'd love to hear from you if have:At least 3 years of relevant work experience in a similar role.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanWellness stipendEducation stipendPaid Parental LeaveFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs.In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels.Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.As a Member of Technical Staff, you will:Design and write high-performing and scalable software for training models.Develop new tools to support and accelerate research and LLM training.Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem.Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime.Research, implement, and experiment with ideas on our cluster and data infrastructure.Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!You are an ideal candidate if you have:Extremely strong software engineering skills.Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.Experience using and debugging large-scale distributed training strategies (memory/speed profiling).[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance.[Bonus] Experience in ML, LLM and RL academic research.This role is perfect for you if you:Have a deep passion for quality work.Enjoy tuning and optimising large LLM models.Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

false

At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first deployed engineer hire - you will work closest with our customers, help them get the most out of our API, and scale with them. You will understand their product and use-cases deeply, and understand our API. You will be the power user of our API.You: Love working hands-on with customers. You are an engineer by training but also may have worked in consulting/PM/GTM or roles that are close to customers. You care most about owning customer impact. Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

false

Growth Product Manager About Durable:  Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What You'll Do:  We’re looking for a Growth Product Manager to own the flywheel that powers durable’s customer acquisition, activation, and retention. You’ll work across product, marketing, data, and engineering to design high-leverage growth loops, optimize funnels, and launch experiments that accelerate Durable’s trajectory. Key Responsibilities: Own the end-to-end growth funnel: acquisition, activation, engagement, and retention Design and prioritize experiments that improve signup, onboarding, and conversion flows Partner with marketing on channels, campaigns, and landing pages to drive qualified growth Define and implement growth loops and referral mechanisms to scale durable organically Use data and customer insights to generate hypotheses, measure performance, and inform roadmap Collaborate with engineering and design to ship rapid, high-quality growth initiatives Establish growth metrics, dashboards, and frameworks for decision-making Work closely with leadership on pricing, monetization, and go-to-market levers What you bring:  3–6+ years in product management, growth, or related roles at high-growth b2c/b2b2c startups Proven track record of shipping experiments and delivering measurable growth results Strong analytical skills; fluent in funnel metrics, a/b testing, and data storytelling User-first mindset with ability to balance qualitative insight and quantitative data Entrepreneurial and scrappy: thrive in fast-moving, ambiguous environments Excellent collaboration and communication across product, engineering, design, and marketing Bonus: experience with ai-native products, no-code/web tools, or small business ecosystems Why Join Us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Vancouver HQ: Based in Vancouver? Our Gastown HQ comes with jaw-dropping North Shore views. Many teammates come in on Mondays and Thursdays, but WFH is always an option when you need it. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Location: Ideal candidates are based in Vancouver. We may consider those based remotely in Canada on a case-by-case basis.  Compensation:  Base salary range $150,000-200,000 CAD, plus equity. This range is based on Vancouver, BC. Actual compensation is determined on a case-by-case basis and takes into account experience level and skillset.   

false

About the TeamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer in the MidMarket/Enterprise segment, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the RoleWe are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with MidMarket/Enterprise Sales, Security, and Product teams.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Deliver an exceptional pre-sales customer experience for MidMarket/Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.You’ll thrive in this role if you:Have 3+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations.Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.Have foundational training in programming languages like Python or Javascript.Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

false

About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an experienced Platform Engineer who thrives in 0-to-1 environments to join Oumi's engineering team. You'll architect, build, and maintain the core platform services that power our products, working across the full technology stack with a focus on backend systems and infrastructure.What you’ll do:Platform Architecture: Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundationBackend Development: Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical componentsFrontend Integration: Collaborate on JavaScript/TypeScript frontend components that integrate with your backend servicesInfrastructure as Code: Implement infrastructure automation using modern DevOps practices and toolsTechnical Leadership: Provide technical guidance on best practices, architecture decisions, and coding standards0-to-1 Development: Convert product requirements into fully functioning systems, taking ownership of features from concept to productionWhat you’ll bring:Experience: Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.0-to-1 Track Record: Demonstrated success building systems from scratch in fast-paced environmentsTechnical Expertise:Strong proficiency in Python for backend developmentKnowledge of Rust or willingness to learn for performance-critical componentsFamiliarity with cloud platforms (AWS/GCP/Azure)Experience with containerization (Docker) and orchestration (Kubernetes)System Design: Ability to design clean APIs, scalable architectures, and efficient data modelsDevOps Mindset: Experience with CI/CD pipelines, monitoring, and observability toolsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.The Details:Benefits:Competitive salary: $140,000-$190,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and eventsLocation:Hybrid work environment, with offices in:Seattle, WAPalo Alto, CANew York, NY

false

Opportunity Summary:Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore.About the Role:The Developer Product Marketing Manager will own the end-to-end activation and completion funnel for our partner and customer builders. The core mission of this role is to significantly shorten the time to first value for developers and empower them to build independently on our platform. You will be responsible for creating a cohesive developer journey by integrating documentation, in-product guidance, lifecycle communications, and community programs.What You'll Do:Documentation & Enablement: Design and build our documentation information architecture, creating a high-quality, comprehensive set of resources for our developers.Lifecycle Marketing: Launch and manage behavior-based lifecycle communications (e.g., welcome series, activation nudges, re-engagement campaigns) to guide developers through the funnel.Community Building: Launch and grow "Ema Labs" to foster a vibrant developer community, showcase successful projects, and generate valuable case studies.Product-Assisted Enablement: Work with Product and Engineering to improve the first-time user experience (FTUE) with in-product checklists, contextual docs, and other guidance.Metrics & Reporting: Define, track, and report on key success metrics to measure the effectiveness of developer enablement and marketing programs.What Success Looks Like in 6 Months:Within six months, you will have optimized the developer journey to reduce the median Time-to-First-Workflow (TTFW) to seven days or less. You will have developed 8-10 production-quality templates, and our documentation will cover all fundamental aspects of the platform. Our behavior-based lifecycle marketing will be live and showing measurable lifts in activation and re-engagement. "Ema Labs" will have successfully run 1-2 cohorts, producing over 30 projects and at least four case studies.Skills and Qualifications:5+ years of relevant experience in product marketing, developer relations, technical marketing, or a similar role.Proven track record of creating and executing successful marketing and enablement programs for a technical audience.Strong written and verbal communication skills, with an ability to make complex technical concepts easy to understand.Experience with marketing automation tools and CRM systems.A data-driven mindset with experience in setting and tracking KPIs.Experience with Agentic AI is a plus.Join our innovative team and play a key role in shaping the marketing strategy and success of Ema. If you're passionate about marketing, driven by creativity, and excited about the potential of Generative AI, we want to hear from you!Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

false

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 We are seeking a highly skilled and experienced Certification Expert to join our team. This pivotal role requires a professional with a strong background in software, electronics, and system-level certification programs. The ideal candidate will have participated in the entire lifecycle of a certification program and possess deep expertise in critical aerospace standards. This is a hybrid position, offering flexibility while ensuring collaborative team engagement. Depending on program needs, this expert may serve as both a Quality Assurance Engineer and a Certification Verification Engineer (CVE). The day-to-day Lead and participate in all phases of the certification lifecycle for complex software, electronics, and system developments, from planning through verification and approval. Apply in-depth knowledge of aerospace certification standards, specifically DO-178C, DO-254, and/or ARP4754A/B, to ensure compliance. Act as a Quality Assurance Engineer, overseeing process adherence, conducting audits, and ensuring the quality of certification artifacts. Perform duties as a Certification Verification Engineer (CVE), reviewing and approving certification data and evidence. Collaborate with engineering teams to integrate certification requirements into design and development processes. Interface with regulatory authorities, including military authorities, as needed to support certification efforts. Prepare and present certification plans, reports, and documentation to internal stakeholders and external authorities. You should apply if you You possess significant experience as a Certification Expert with a focus on software, electronics, and system-level certification. You have actively participated in the full lifecycle of at least one major certification program. You are proficient in at least one of the following standards: DO-178C, DO-254, or ARP4754A/B, and are eager to expand your expertise in the others. You are capable of acting as both a Quality Assurance Engineer and a Certification Verification Engineer (CVE). You thrive in a hybrid work environment. Hold, or are demonstrably eligible to obtain, the required level of security clearance.  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 Understanding of evolving airworthiness requirements related to Artificial Intelligence (AI) and Cybersecurity. Experience interacting with military authorities in a certification context. 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   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.     

false

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.About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience specializing in financial services technology, with proven expertise in SaaS platforms, API solutions, and emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use The expected salary range for this position is:Annual Salary:£195,000—£280,000 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

true

You want to operate at the cutting edge of AI, leading groundbreaking developments in AI safety and security for global impact. As a Product Manager at Lakera, you will drive implementation of features for our flagship GenAI security platform, Lakera Guard. This role will Product Manage our Guard Applications team, focused on the core API & UI experience of Lakera Guard.From conducting comprehensive research to deeply understand our users’ and customers’ pain points, to crafting and implementing a product vision, your efforts will be instrumental in shaping the forefront of the new AI security space, ensuring that Lakera Guard not only meets but exceeds the evolving demands of AI technology and its users. What you’ll doHelp improve and create new security products that keep AI agents safe and secure.Collaborate with product and company leadership to align our Lakera Guard application strategy with the company’s overall business goals and objectivesDevelop a comprehensive and prioritized roadmap based on use cases from customer feedback, market research, and data analysisWork closely with cross-functional teams, including engineering, UX/UI design, and marketing, to deliver high quality products that exceed customer expectations.Conduct customer interviews, gather feedback, and gain a deep understanding of customer pain points to inform feature development and enhance the user experience. Spend enough time with our customers and prospects to deeply understand their problems and challengesCollaborate with the leadership, sales, and marketing to develop compelling product messaging, positioning, and go-to-market strategiesDrive success in 0 to 1 products and features - create and launch exciting products and then iterate based on early customer feedback.Support the CSM and sales team in customer engagements, providing technical expertise and product knowledge as needed. What you’ll bring4-8+ years experience in enterprise SaaS Product Management, preferably in the application security or broader cybersecurity marketBachelor's or Master's degree in Computer Science, Cybersecurity, or a related technical field. An MBA or equivalent is a plus.Strong understanding of application security fundamentalsStrong understanding of generative AI, Large Language Models, and AI agents. Experience in prompt engineering and evaluation in a production system is a plus.Excellent leadership, communication, and collaboration skills, with the ability to work effectively across cross-functional teams globally, including engineering, UX, and marketing.Previous ownership of the end-to-end delivery of software that has demonstrably had a significant impact on enterprise customersDemonstrated ability to deeply understand and solve problems for technical users and buyers (e.g. developers, security teams, or infrastructure teams)Experience in driving product improvements through rapid experimentation and iteration in an enterprise context and with globally distributed development teams.You aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals.You take full ownership of the work and product you are responsible for We encourage you to apply even if your experience doesn’t precisely match the job description, particularly if your career has taken an extraordinary path.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

false

About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful.  Why Join Us As a Software Development Engineer – CCaaS at Observe.AI, you’ll play a key role in shaping how our platform connects with leading Contact Centre-as-a-Service (CCaaS) providers. You’ll design, build, and deploy scalable integrations that power seamless customer experiences, enabling enterprises to get the most value from our AI-driven solutions. This is a role where you’ll work at the intersection of cutting-edge AI and mission-critical contact center technologies, directly influencing how millions of customer interactions are transformed every day What you’ll be doing Lead feasibility and architecture design: Analyse customer CCaaS platform capabilities, perform technical feasibility studies, and identify optimal integration mechanisms (e.g. SIPREC, APIs, WebSockets). Author technical specifications: Create detailed solution architecture diagrams , integration design documents, and execution plans tailored to each customer environment. Build and validate PoCs: Develop prototypes and proof-of-concepts for new CCaaS integrations to de-risk delivery and validate functional compatibility. Implement and deploy integrations: Write clean, scalable code to support real-time call/audio event ingestion; deploy and monitor integrations in cloud production environments. Act as an escalation point: Troubleshoot and resolve complex technical issues during integrations, collaborating directly with customer teams where needed. What you'll bring to the role Hands-on backend development experience ( Java, Spring Boot, etc.) and cloud-native products Experience working with RestAPI, WebSockets, WebHooks, and WebRTC technologies Inclination to work on telecom/network domain-specific activities ( Comprehending CCaaS vendor documentation, Customer Network Topologies, etc.) Strong knowledge of networking fundamentals (TCP/IP, firewalls, load balancers) and operating systems Skilled with debugging tools like Wireshark, Postman, and log analysers Excellent troubleshooting and root-cause analysis capabilities Additional Skills Hands-on experience integrating with UCaaS/CCaaS platforms ( Genesys, NICE, CXone, Five9, AWS Connect, Avaya, Twilio ) Deep understanding of telecom protocols such as SIP, SDP, RTP, SIPREC, and media stream capture Experience with cloud deployments ( AWS, GCP, Azure ) and observability tooling ( Grafana, Prometheus, ELK ) Exposure to SBCs ( Session Border Controllers ) and telecom compliance requirements Prior experience working with or contributing to real-time AI applications ( Agent Assist ) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  

false

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 Bid Manager at Helsing, you will play a pivotal role in advancing our mission to revolutionise defence and national security through cutting-edge AI technology. By leading the development and submission of strategic proposals, you'll be instrumental in securing partnerships and projects that expand our impact in safeguarding societies. Your ability to coordinate agile teams and shape compelling narratives will directly support Helsing's mission to provide advanced solutions that empower decision-makers in critical environments. This position not only influences our growth trajectory but also contributes to our overarching goal of creating a safer and more secure world through technological innovation The day-to-day Coordinate the end-to-end development of proposals, ensuring alignment with client requirements and showcasing Helsing's innovative AI solutions effectively. Work closely with sales, technical, and operational teams to gather necessary information and ensure all proposal components meet strategic, technical, and compliance standards. Oversee the bid timeline, manage resources, and ensure submission deadlines are met, using project management tools and methodologies to maintain organization. Conduct ongoing research to understand client needs, competitive landscapes, and market trends, using insights to tailor proposals and strategies. Ensure all bid components meet legal, compliance, and regulatory standards, identifying potential risks and developing mitigation strategies. Regularly update leadership on bid progress and outcomes, and conduct post-bid evaluations with teams to refine processes and strategies for future opportunities. Continuously seek improvements and innovations in the bidding process, enhancing efficiencies and increasing the strength and competitiveness of proposals. You should apply if you You thrive in crafting and executing strategies that align with both short-term objectives and long-term vision, making a tangible impact on business growth. You are excited by the opportunity to work on cutting-edge AI technology projects that contribute to national defence and security. You excel in dynamic environments and enjoy collaborating with cross-functional teams to gather insights and build cohesive, winning proposals. You have a knack for managing complex projects, ensuring all aspects from compliance to timelines are meticulously handled. You are adept at researching market trends and client needs to develop proposals that are both strategic and competitive. You can thrive in a fast-paced startup environment and remain flexible to adjust to changing priorities and opportunities. You are motivated by contributing to a mission that aims to create a safer and more secure world through technological advancement. 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   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.     

false

Product Marketing Manager/Associate (Personalization/Data Cloud) Location: Tokyo About Appier Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, multi-agent, data analysis, distributed systems, and marketing. About The Product Marketing Team The product marketing team at Appier is under the Growth and Marketing organization, working closely with product, sales, and customer success teams to drive awareness and adoption. About this role As a Product Marketing Manager, you will play a crucial role in driving the success of Enterprise Solution's go-to-market strategy in different markets, including Japan, South Korea, Taiwan, Hong Kong, and Southeast Asia, and ensuring the continued growth and adoption of our cutting-edge AI-powered solutions. You'll be a key storyteller for Appier, bringing the value of data and personalization to life across all internal and external channels by owning the vertical go-to-market strategy, building competitor playbooks, delivering global training, and being a public figure for the company. Responsibilities Develop and execute go-to-market strategies for Personalization and Data Cloud products by working closely with cross-functional teams such as product management, sales, and customer success.  Conduct market research and competitive analysis to identify customer needs, market trends, and growth opportunities. Develop and maintain a deep understanding of the company's products and services, as well as the target audience and buyer personas. Craft compelling value propositions and messaging that differentiate the company's products in the market and resonate with target audiences. Collaborate with sales teams to develop sales enablement materials, such as presentations, case studies, and product demos. Partner with the broader marketing team to execute marketing tactics that drive awareness and new client meetings. Qualifications [Required] Bachelor's degree in Marketing, Business, or a related field with 2-3 years of experience in (product) marketing or a related role Excellent written and verbal communication skills in Japanese and English, with the ability to craft compelling messaging and tell engaging stories. Experience in creating sales enablement materials, such as sales decks and case studies. Agile and adaptable mindset, with the ability to thrive in a fast-paced, dynamic environment. Proactive and self-driven with a strong attention to detail and the ability to manage multiple projects simultaneously. An appetite for collaboration, driven by the belief that your success is dependent on the success of others around you Enjoyment talking to customers and personally going and testing and figuring out positioning that works Taste for beautiful design, good copy, and attention to detail [Nice to have] Relevant experience in digital marketing roles. Proficiency in additional languages besides English. Experience in B2B marketing or enterprise software solutions. Strong project management skills and the ability to prioritize tasks effectively. A passion for continuous learning and professional development in the field of marketing. Ability to thrive in ambiguity and navigate through complex challenges. A collaborative and team-oriented mindset, with a willingness to support and contribute to the success of the team as a whole. #LI-BD1 #LI-Hybrid

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

true

About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs VP engineering at Wispr, you’ll direct the engineering team in building the first capable, habit forming voice interface that scales to a billion users. You will help scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.What are we looking for?Experience building and scaling teams from 20 to 100 peopleCultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessedCan build a culture that’s thoughtful, aggressive, innovative on the eng teamAble to increase the velocity and predictable delivery of an engineering teamProduct minded for a prosumer interfaceFluency in Typescript, React, and PythonAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

false

About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startupSolving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patientsCutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communicationIn-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive cultureWhat you'll be working onOwn our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcareDesign AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patientsCreate intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teamsBridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversationsBuild our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we growShip brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attentionRequirements3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediumsFull-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same daySystems thinker: Can create scalable design frameworks for both visual and conversational interfacesFigma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypesIn-person collaboration: Excited to work from our NYC office dailyYou are a good fit ifYou believe great design spans all senses—what people see, hear, and feel when interacting with a productYou're fascinated by making AI conversations feel natural and human, not robotic or scriptedYou can write copy that sounds like a compassionate healthcare worker, not a tech companyYou want to own both how Clarion looks and how it sounds to millions of patientsYou're excited to define a brand that stands out in the sea of sterile healthcare techYou measure success by both user delight and business impactInteresting Design ChallengesMake AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robotSmooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patientSimplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without trainingShow conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issuesGive staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things downConnect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screensWhat we offerDirect mentorship: Work closely with our founding team and shape both product and brand direction from day oneMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your designs—both visual and voice—will directly improve healthcare access for millionsInterview ProcessWe'll get back to you within 24 hours after each step:First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spacesPortfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped productDesign Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfacesTeam Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work togetherIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

false

AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!