Find AI Work That Works for You

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryHelp build the world’s best deep learning cloud by delivering frontend and backend systems that power Lambda's ML and AI platform.What You’ll DoDesign and build intuitive, beautiful web interfaces for ML/AI cloud usersIntegrate top-tier tooling, workflows, and models from the AI spaceOwn features end-to-end—from design to deployment to monitoringYou (Must-Haves)Frontend Experience (6+ years)Responsive web apps using:TypeScriptReact (or equivalent experience in Vue or Svelte)HTML and modern CSSViteBackend Experience (8+ years)Business-critical services using:Python, Unix/Command lineDjango or FastAPIRelational databases like PostgreSQL or MySQLAdditional Core ExperienceCI/CD: Automation around testing and deploymentReliability & Observability: Logging, alerting, and building highly available systemsCloud Native Services: AWS, Okta, Cloudflare, etc.Nice-to-HavesExperience with KubernetesInfrastructure as Code (Terraform, Atlantis, Crossplane, etc.)Event-based or serverless tech (e.g., AWS Lambda, Kinesis)Experience in ML, AI, or data scienceApplication security and web hardeningLeadership or mentorship experienceStrong academic background (EECS, Math, Software Engineering, Physics)Salary RangeThe annual salary range for this position is $225,000-$445,000, with flexibility based on experience and qualifications.Final NoteYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.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.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You'll DoEngage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs. Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. Conduct research and analysis on customers and competitors.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Please find our CA applicant privacy notice here.Compensation Range$200,000 - $300,000 USD OTE 70/30 splitHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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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.About the role We are seeking a Detection and Response Engineering Manager to lead our Detection and Response teams in creating comprehensive Security Observability, Detection Lifecycle, and Security Incident Response programs for Anthropic. You will collaborate closely with teams and leaders across Anthropic, focusing on the observability, detection, investigation, incident response, and intelligence portions of the security lifecycle. You will collaborate closely with preventative security engineering teams and other cross-functional teams. Responsibilities: Manage and grow a high-performing D&R team, planning strategy and hiring to support Anthropic's rapid growth and unique AI safety requirements Navigate prioritization in a fast-paced frontier environment, balancing operational demands with building innovative, scalable solutions for the future Collaborate across security engineering teams to build comprehensive prevention, observability, detection, and response capabilities throughout the security lifecycle Facilitate development of scalable, AI-leveraged D&R solutions that enable self-service observability and detection capabilities across Anthropic Build partnerships with product, infrastructure, and research teams to instill security monitoring best practices Own and continuously improve Security Incident Response, Data Management, and Detection Engineering policies and playbooks Operate our threat intelligence program and maintain relationships with external security partners and information sharing communities Continuously drive capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness Who you are: 5+ years building detection and response capabilities in a cloud-native organization 5+ years of engineering management experience with a proven track record of building and scaling security teams Deep understanding of security monitoring, threat detection, incident response, and forensics best practices Experienced in securing complex cloud environments (Kubernetes, AWS/GCP) with modern detection technologies Knowledgeable in AI/ML security risks, detection patterns, and response strategies Strong verbal and written communication skills with the ability to distill complex security topics Skilled at collaborating cross-functionally and effectively balancing security requirements with business objectives Able to drive high-impact work while incorporating feedback and adapting to changing priorities Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment Low ego, high empathy, and have a track record as a talent magnet who attracts and retains top security talent Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$405,000 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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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Manager of Embedded Software to lead software development for our field deployed custom hardware systems.  We are developing a broad suite of technologies that enable the operation of our CV/ML platform, including but not limited to camera and computer vision systems, edge and embedded computers, IoT sensors and automated access control systems. As a leader within the Advanced Technologies (AT) organization, you will be responsible for leading the Embedded Software team to define and deliver software that supports current and future hardware systems. You will work closely with members of the Hardware Engineering, Edge Software, Machine Learning, and Technical Operations organizations to define requirements and support deployment of software into production. You and your team will work up and down the stack, from microcontrollers to embedded Linux, and develop both embedded platform and application specific software.  The right candidate will have a broad embedded software background that includes having shipped multiple systems to production, as well as prior team leadership experience. You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders. You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done. If you have a background in embedded systems, sensors, cameras, and computer vision, and are interested in developing systems that go out into the real world, please reach out!   Responsibilities Lead the Embedded Software team to design and build embedded software that enables, integrates, and operates the field deployed Metropolis hardware platform. Guide the teams technically, engaging in architecture definition, implementation of best practices, and hands-on troubleshooting when needed. Mange the team through all phases of embedded software development, from concept and design to deployment and maintenance. Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems. Identify top level embedded software requirements and establish development best practices. Work with Hardware Engineering and Technical Operations to support hardware bring-up, debug and deployment. Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels. Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.   Qualifications  BS in CS/ECE or related engineering discipline 8+ years of embedded software development experience, with at least 2+ years of experience leading and managing embedded software teams 2+ years of experience as a hands-on senior, staff or principal engineer with demonstrated end-to-end ownership of an embedded software project before transitioning into managing teams Experience designing software for embedded microcontrollers (ARM, PIC, etc.) and Embedded Linux (Yocto, Ubuntu, Debian, etc.) in a production environment Expert level knowledge of at least one modern embedded language, such as C/C++ or Rust, including object-oriented design Experience contributing to the designs and architectures of both new and existing software systems, including design patterns, reliability, test strategy and scaling Experience in development and test of common embedded hardware interfaces (GPIO, ethernet, USB, etc.) Experience with real time software development, including RTOS, bare metal embedded systems, and/or Linux kernel/device drivers Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high-growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 to $255,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role   Metropolis is seeking a Senior Manager to lead software engineering for the Edge Platform: the mission critical backend platform that consumes and organizes event data from our field-deployed hardware and ML systems. We are developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics. In this role, you will lead a team of software engineers to support existing systems and develop the next-generation of the Edge platform. The Edge team integrates real-time hardware events and machine learning outputs into a core mobility identification platform, creating a rich data stream that powers Metropolis applications. As a senior member of the Advanced Technologies organization, you will have the opportunity to shape the future of the platform that not only consumes all of the information from those edge systems, but creates the foundational structures on top of which Metropolis builds remarkable experiences for parking and new verticals. You will work closely with other engineering leaders to ensure your team is balancing a mission critical system with delivering new capabilities that power Metropolis into a future well beyond parking!   Responsibilities  Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem. Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives. Organize the team to support existing edge systems, develop new capabilities, and create a strategy for the future. Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices. Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building. Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion. Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels.   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 8+ years of experience with at least 2+ years of experience leading and managing backend software engineering teams  2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams Experience as a technical lead or manager designing software systems that have been deployed at scale Experience building distributed backend systems using a variety of service oriented and event driven architectures Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems Working knowledge of Scala, Java or other languages that run on the JVM Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 to $255,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role   Metropolis is seeking a Senior Manager to lead software engineering for the Edge Platform: the mission critical backend platform that consumes and organizes event data from our field-deployed hardware and ML systems. We are developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics. In this role, you will lead a team of software engineers to support existing systems and develop the next-generation of the Edge platform. The Edge team integrates real-time hardware events and machine learning outputs into a core mobility identification platform, creating a rich data stream that powers Metropolis applications. As a senior member of the Advanced Technologies organization, you will have the opportunity to shape the future of the platform that not only consumes all of the information from those edge systems, but creates the foundational structures on top of which Metropolis builds remarkable experiences for parking and new verticals. You will work closely with other engineering leaders to ensure your team is balancing a mission critical system with delivering new capabilities that power Metropolis into a future well beyond parking!   Responsibilities  Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem. Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives. Organize the team to support existing edge systems, develop new capabilities, and create a strategy for the future. Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices. Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building. Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion. Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 8+ years of experience with at least 2+ years of experience leading and managing backend software engineering teams 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams Experience as a technical lead or manager designing software systems that have been deployed at scale Experience building distributed backend systems using a variety of service oriented and event driven architectures Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems Working knowledge of Scala, Java or other languages that run on the JVM. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 to $255,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Front-End Developer PlayPower Labs | Remote | Full-TimeRole Overview:Join our front-end development team, contributing to user-centric applications using Angular and React. You'll work alongside skilled developers, growing your skills and ensuring high-quality code and user experiences. You will be encouraged to utilize and learn about AI tools to enhance your development workflows.Key Responsibilities:Work within a team of front-end developers, contributing to collaborative projects.Develop and implement scalable web application features using Angular and React.Collaborate with UX/UI designers to build intuitive user interfaces.Adhere to coding standards and participate in quality assurance processes.Learn from senior team members and contribute to continuous improvement.Explore and integrate industry trends and emerging technologies, including AI tools.Utilize AI tools to improve development efficiency and workflow.Participate in code reviews.Collaborate with back-end developers for seamless integration.Qualifications:2+ years front-end experience with strong Angular and/or React skills.Solid understanding of HTML, CSS, and JavaScript.Experience with state management (e.g., Redux, NgRx) and responsive design.Familiarity with Git and Agile.Good problem-solving and communication skills.Interest or experience in using AI tools to improve development efficiency.Basic understanding of Large Language Models (LLMs) and prompting (a plus).Basic backend coding experience with Node.js or Python (a plus).What We Offer:Competitive salary/benefits, fully remote work, professional development, and a supportive, innovative team culture.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Backend Engineer (f/m/d)* on the Agent Builder Experience Team, you will deliver cutting-edge agent builder tooling. Together with your team, you will shape the vision for our co-pilot functionality and insights-driven agent optimization journey, fostering a culture of speed, collaboration, and technical excellence. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Python, Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Proficiency or willingness to learn and code in Typescript (we run language-agnostic coding interviews; Typescript experience  is not a hard requirement) Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, Azure, GCP, AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding 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. 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 → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    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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Location 📍: Sydney, Australia (Hybrid - 3 Days In Office)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We’re seeking talented AI engineers (fullstack) to join our team and build next-generation AI-powered applications. We can hire at mid/ senior/ staff level. This role would be ideal for individuals who are excited by the intersection of software development and applied AI.This is not a traditional ML engineer/ MLops role. Your day to day will be varied and you’ll work on building real, user-facing AI features—powering workflows, tools, and experiences that leverage large language models and agents across the product. Expect to dive deep into prompt engineering, AI-powered backend services, and full stack implementations (APIs, microservices, and frontends alike).You’ll collaborate closely with a visionary product and engineering team, contribute to our open-source SDKs, expand internal agent frameworks, and shape the future of AI agent interfaces and infrastructure.Your impact💥Develop Agents and Multi-agent systems: Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.).Develop Tools for agents: Develop complex tools for agents like computer use, browser use, etc.Multi-agent orchestration and tool calling: Research and develop systems on how agents should collaborate, and how agents should call tools.Fullstack development: Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences.Evaluate and improve: Evaluate AI’s performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability.What We’re Looking For 🧠Proven experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Gen AI/ LLMs / RAG.Strong programming skills in Python and Typescript, including experience using AI-assisted coding tools.Deep understanding of foundational models, prompt engineering, and fine-tuning techniques.Understanding of software design, service architecture, and scalable systems.Passion for building AI-enhanced user experiences, not just theoretical ML solutions.Prior start-up or tech company experience is a plus—especially where you’ve worn multiple hats or shaped early products.Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits (Australia) ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Technical Customer Support SpecialistLocation 📍: Sydney, NSW (Hybrid)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We are hiring a Technical Customer Support Specialist to join our expanding team in Sydney, focused on transforming customer support for an AI-first world.This role goes beyond ticket resolution. You’ll drive proactive support by building automation through agents, engaging our customer community, and developing educational content. You’ll be a key contributor to how Relevance AI supports customers at scale - delivering empathetic, technical, and efficient experiences.You’ll be joining a tight-knit team focused on reimagining the support craft: from traditional queues to building and managing AI agents, contributing to support ops processes, and amplifying customer education through content and community.Your Impact💥Work on 10 to 30 customer tickets daily, maintaining high empathy, clarity, and technical precision.Build AI Agents that automate internal support processes and reduce repeat issues.Create educational resources, including documentation, video walkthroughs, help articles, and community how-tos.Engage in community support and enablement, contributing to forums, live sessions, and onboarding spaces.Improve our support operations through involvement in release readiness, incident management, or voice-of-customer initiatives.What We’re Looking For 🧠2–5 years experience in technical customer support or adjacent technical roles (e.g. Business Analyst, Support Ops).Strong background in supporting SaaS platforms and working across multiple customer tiers (free to enterprise).Hands-on familiarity with APIs, debugging, or some Python scripting. You're not afraid to get technical, even if you're still learning.Passionate about AI tools and how they can improve customer experience. Experience building AI agents or prompt engineering is a major plus.Excellent communication skills, capable of translating technical issues into customer-friendly solutions.Comfortable working in a high-growth environment where speed, autonomy, and collaboration matter.Bonus: interest in content creation, community building, or support operations projects.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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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. About the role As a member of the Applied AI team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions within the US Government space. You’ll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' mission needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with the Sales, Product, and Engineering teams, you’ll work with government agencies and partners to build leading-edge AI systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: Act as the primary technical advisor for prospective US Federal, State, and Local customers evaluating Claude. Demonstrate how Claude can address the customer's use cases through proofs of concept. Provide technical guidance on integration, deployment, and adoption best practices. Partner closely with account executives to understand customer requirements. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption. Drive technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Demonstrate solutions to technical roadblocks. Act as the voice of our customers and a key collaborator with our Product and Research teams to ensure we are delivering critical capabilities to government agencies. Travel to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships. Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities. You may be a good fit if you have: 2+ years experience working directly with US Federal, State, and/or Local government agencies 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the government space Designed novel and innovative solutions for technical platforms in a developing mission area Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Understanding of and experience with LLM fundamentals The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$200,000—$300,000 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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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re growing our team and looking for Software Engineers to build high-impact products that support our Fellows in their work, ensuring they have the tools and infrastructure needed to drive AI innovation. This is a unique opportunity to play a pivotal role in a fast-growing space, working directly with leading AI labs and tech companies to develop solutions that enhance research workflows, model evaluation processes, and domain-specific AI applications. You will build critical features for products from the ground up, collaborating closely with product, design, and engineering teams to create seamless and effective experiences.Location: San Francisco, CA | 5 days/week in-officeYour roleCollaborate on a cross-functional team with designers, product managers, and engineers to design, build, and maintain full-stack features and internal tools.Own core product areas end-to-end—from backend API design and database modeling to frontend implementation and UX polish.Contribute to architectural discussions, propose technical solutions, and participate in thoughtful code reviews.Ensure quality, performance, and scalability across both frontend and backend systems.Debug and resolve issues across the stack in collaboration with other team members.Help evolve best practices around testing, observability, CI/CD, and technical documentation.Work closely with users and stakeholders to understand requirements, gather feedback, and iterate quicklyYour experience2–4 years of professional experience as a full-stack engineer, or frontend/backend engineer with demonstrable work across the stack.Proficiency with ReactJS and TypeScript, with a strong eye for detail, usability, and accessibility.Experience with backend development in Node.js, Python, or similar, and working with RESTful APIs or GraphQL.Solid understanding of relational databases (e.g., PostgreSQL) and basic data modeling.Familiarity with cloud infrastructure (e.g., AWS, GCP) and deployment pipelines.Passion for clean, maintainable code and building reliable, performant systems.Excellent communication and collaboration skills across technical and non-technical stakeholders.Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.Bonus areas of expertiseExperience with building production systems for LLM or AI-related products.Familiarity with component libraries and design systems.Exposure to performance optimization in frontend applications.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re growing our team and looking for Software Engineers to build high-impact products that support our Fellows in their work, ensuring they have the tools and infrastructure needed to drive AI innovation. This is a unique opportunity to play a pivotal role in a fast-growing space, working directly with leading AI labs and tech companies to develop solutions that enhance research workflows, model evaluation processes, and domain-specific AI applications. You will build critical features for products from the ground up, collaborating closely with product, design, and engineering teams to create seamless and effective experiences.Location: San Francisco, CA | 5 days/week in-officeYour roleCollaborate on a cross-functional team with designers, product managers, and other engineers to build and maintain user-facing features and internal tools.Take ownership of features and product areas, contributing to technical decisions and implementation.Participate in code reviews and architecture discussions to help maintain a high standard of engineering quality.Learn from senior engineers and contribute to team knowledge by documenting best practices and patterns.Contribute to the team’s ongoing focus on performance, accessibility, and overall user experience.Help debug, triage, and resolve bugs and issues across our frontend codebase.Your experience2–4 years of professional experience as a frontend or full-stack engineer, with a strong emphasis on frontend development.Proficient with modern frontend technologies, especially ReactJS and TypeScript.Experience working with backend APIs and basic familiarity with relational databases like PostgreSQL.Strong attention to detail with an eye for user experience, accessibility, and clean design.Comfortable working in a fast-paced, iterative environment with shifting priorities.Demonstrated ability to collaborate with product, design, and other engineers to ship features to production.Clear communicator, both written and verbal, with an ability to explain technical concepts to cross-functional partners.A growth mindset—actively seeking feedback, learning from peers, and striving to improve your craft.Bonus areas of expertiseExperience with building production systems for LLM or AI-related products.Familiarity with component libraries and design systems.Exposure to performance optimization in frontend applications.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re growing our team and looking for Software Engineers to build high-impact products that support our Fellows in their work, ensuring they have the tools and infrastructure needed to drive AI innovation. This is a unique opportunity to play a pivotal role in a fast-growing space, working directly with leading AI labs and tech companies to develop solutions that enhance research workflows, model evaluation processes, and domain-specific AI applications. You will build critical features for products from the ground up, collaborating closely with product, design, and engineering teams to create seamless and effective experiences.Location: San Francisco, CA | 5 days/week in-officeYour roleCollaborate on a cross-functional team with designers, product managers, and engineers to design, build, and maintain full-stack features and internal tools.Own core product areas end-to-end—from backend API design and database modeling to frontend implementation and UX polish.Contribute to architectural discussions, propose technical solutions, and participate in thoughtful code reviews.Ensure quality, performance, and scalability across both frontend and backend systems.Debug and resolve issues across the stack in collaboration with other team members.Help evolve best practices around testing, observability, CI/CD, and technical documentation.Work closely with users and stakeholders to understand requirements, gather feedback, and iterate quicklyYour experience2–4 years of professional experience as a full-stack engineer, or frontend/backend engineer with demonstrable work across the stack.Proficiency with ReactJS and TypeScript, with a strong eye for detail, usability, and accessibility.Experience with backend development in Node.js, Python, or similar, and working with RESTful APIs or GraphQL.Solid understanding of relational databases (e.g., PostgreSQL) and basic data modeling.Familiarity with cloud infrastructure (e.g., AWS, GCP) and deployment pipelines.Passion for clean, maintainable code and building reliable, performant systems.Excellent communication and collaboration skills across technical and non-technical stakeholders.Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.Bonus areas of expertiseExperience with building production systems for LLM or AI-related products.Familiarity with component libraries and design systems.Exposure to performance optimization in frontend applications.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the teamYou'll join a team in the Greater Vancouver Area focusing on professional creators who want to dominate their category. You’ll prototype and build the next generation of AI enterprise solutions that could fuel massive growth.You will collaborate closely with some of the world's top social media creators and leading enterprise teams to build tools and AI agents that streamline their creative workflows.About the RoleAs a Senior/Lead Solutions Engineer, you own the technical customer journey from pre-sales through long-term value realization. You combine deep engineering expertise (APIs, integrations, data security) with strategic advisory to drive Enterprise product adoption, influence product direction, and scale both customer and internal team success. You will personally deliver complex enterprise launches while setting technical excellence standards for customer success.Key ResponsibilitiesDeliver exceptional full-lifecycle customer experience from evaluation to full adoption and successProvide technical expertise during pre-sales: value proposition articulation, requirements clarification, and product Q&ADemonstrate business solutions through demos, use case scoping, and proof of conceptsHandle security and compliance questions using standardized materials, guiding customers to resources, and escalating complex requirementsCreate and maintain public API documentation, guides, and FAQs based on common pre-sales requirementsPartner with Sales, GTM, Product, Engineering, and Customer Success teams for seamless evaluation-to-deployment experiencesCommunicate customer goals and coordinate solution deliveryBuild strong customer relationships while advocating internally for customer needsGather feedback, identify recurring requirements, and influence product roadmap developmentQualifications & ExperienceExperience5+ years in customer-facing technical roles (Solutions/Sales Engineering) with large, global organizationsProven track record delivering and scaling exceptional pre-sales customer experiencesEnterprise technical product experience preferredTechnical SkillsHands-on engineering with strong TypeScript (and other modern language) expertise; delivers both production-grade integrations and rapid prototypes.Experienced across major cloud platforms (AWS, GCP, Azure); Docker; API design; auth patterns (OAuth2, JWT); SSO; multi-tenancy; and streaming architectures. Video engineering background is a huge plus.Deep understanding of IT security principles and B2B SaaS compliance requirements.Operates at high velocity with strong problem-solving skills; adept at frequent context switching; manages multiple concurrent projects with broad ownership and ruthless prioritization.Communication & LeadershipExceptional presentation and communication skills.Proven ability to translate AI and product concepts into clear value narratives for engineering and executive audiencesHumble attitude with eagerness to help others and continuous learning mindsetCommitment to AI agents that deliver business outcomes for enterprises.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleAs our Product Counsel, you will be assisting the Legal team with a wide variety of tasks: Product counseling on IP, privacy, licensing, open source Support launch of new features/products  Maintain all product-facing legal content Contract review of all types of contracts  Legal operations and automation  Legal watch various legal topics applied to AI: IP, privacy About You You have strong experience as a product counsel in a fast-paced tech startup, ideally working on developer tools, AI/ML, or open source platforms; You have knowledge of US contract law, privacy and IP, and previous experience in contract review and negotiations; You thrive in a startup culture: scrappy, proactive, hands-on, collaborative, and solutions-oriented; You’ll enjoy working with us if you think strategically but have the capacity to be nimble, pragmatic, and creative to solve problems; You will be required to be autonomous, independent, and communicative as these are the keys to succeed in a decentralized organization like ours;  You are fully proficient in English, both written and spoken, and ideally in French too. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.Requirements Knowledge of US contract law, privacy and IP; and basic knowledge in French, European law Native or bilingual in English Native or bilingual in French Experience in a fast-paced tech start-up Experience in supporting AI products/platforms

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.At Abridge, we’re transforming the healthcare experience by helping clinicians focus on patients. Our generative AI platform reduces the burden of clinical documentation by turning conversations into structured notes—accurately, securely, and in real time.As Director of Clinical Success, you will lead a high-impact, cross-functional team of clinicians and nurses who lead the clinical strategy and application of our products to maximize impact within our enterprise partnerships. Your team ensures successful adoption, builds clinical champions, drives change management, and helps inform the direction of our product through ongoing feedback. You’ll help scale our reach and deepen our impact—teamwide and systemwide.What You’ll DoTeam Leadership & StrategyLead, mentor, and scale a team of Clinical Success Directors (MDs, DOs, PAs, NPs) and Nursing Clinical Success Directors (RNs, LPNs, etc.) focused on clinician enablement, change management, and adoption.Build team culture that is collaborative, mission-driven, and performance-oriented.Define and track team goals, success metrics, and KPIs that align with organizational impact.Collaborate with internal stakeholders across Implementation, Product, Partner Success, Sales, and Support to ensure a seamless partner experience from onboarding through long-term success.Clinical Enablement & Change ManagementOversee the design and delivery of scalable training programs and resources for diverse clinician types (physicians, advanced practice providers, and nurses).Partner with health systems to establish clinical champions and effective change management plans tailored to local workflows and needs.Ensure your team delivers proactive outreach, ongoing support, and adoption strategies for both individual users and enterprise-wide deployments.Product Feedback & StrategyServe as a strategic clinical voice in partnership with Product and Design teams to surface insights, feature requests, and opportunities for improvement.Create clear frameworks and documentation that translate real-world feedback into actionable product direction.Partner with Product Marketing to develop compelling collateral and messaging aligned with evolving clinical workflows.What You’ll BringClinical background required: MD, DO, PA, NP, or RN with direct experience in documentation workflows (Epic preferred).10+ years of professional experience, with at least 3 years in people leadership—preferably leading clinicians or clinical success/adoption teams in a high-growth or health tech setting.Deep understanding of clinical documentation workflows, provider needs, and the cultural nuances of provider adoption.Experience managing enterprise change management efforts across diverse care teams and specialties.Proven ability to inspire and lead high-performing teams with empathy and clarity.Strong cross-functional collaboration skills and a growth mindset.Passion for building tools that truly improve the lives of clinicians and the quality of patient care.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About the TeamThe Readiness Team is essential to translating OpenAI’s cutting-edge research into real-world customer impact. As part of the GTM organization, they empower customer-facing teams with the knowledge, tools, and frameworks needed to deliver meaningful outcomes. By turning complex product innovations into practical, scalable enablement programs, they ensure teams are prepared and aligned with OpenAI’s mission of responsible, high-impact AI adoption.About the RoleWe’re hiring a Field Enablement - Technical Success business partner to drive structured and scalable enablement programs for our rapidly expanding Technical Success teams, including Solutions Engineering, Solutions Architects, Forward Deployed Engineering, and Customer Success. This role is critical in building and optimizing onboarding processes, skill development frameworks, and knowledge-sharing programs to support our technical GTM teams. You will directly influence how we enable consistent, high-quality technical customer interactions and successful AI deployments.In This Role, You Will:Design, implement, and scale comprehensive technical enablement programs, partnering closely with Technical Success leadership for onboarding and ongoing skill development.Redefine and optimize our Subject Matter Expert (SME) program to enhance knowledge sharing, technical depth, and consistency across GTM teams.Maintain and proactively manage our technical pitch and demo asset repository, ensuring timely and versioned content delivery.Collaborate with Product Enablement and technical leadership to proactively identify skill gaps and deliver targeted training interventions.Capture, vet, organize, and make technical customer-facing content accessible to all GTM teams.You Might Thrive in This Role If You Have:5-10+ years of experience in technical enablement, solutions engineering, technical success, or related roles.Proven experience designing and scaling technical enablement programs in high-growth SaaS or technology environments.Exceptional communication and organizational skills, with proven ability to manage multiple projects and stakeholders effectively.Demonstrated expertise building practical enablement content and playbooks tailored to technical GTM team needs.Experience independently defining, prioritizing, and leading highly complex initiatives, demonstrating strong judgment in ambiguous situations.A proven ability to influence organizational strategies and mentor senior peers through thoughtful communication and inclusive leadership.It's a Plus if You:Have a strong understanding of enablement methodologies, instructional design principles, and adult learning theory.Are familiar with AI/ML technologies or deep technical SaaS platforms.Have experience leading SME programs or other knowledge-sharing initiatives.Possess a background in technical content creation or training facilitation.Have shaped strategic enablement programs that significantly improve readiness and execution across diverse GTM roles, establishing scalable infrastructure for long-term success.Are recognized as an expert who shapes strategic direction and contributes innovative ideas, often refining and extending existing strategies and frameworks to solve complex, high-stakes problems.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.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.

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About the TeamAt OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the RoleWe are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains.   In this role, you will:Own the full product development lifecycle for new people products end-to-endTalk to internal stakeholders to understand their problems and design solutions to address themWork with the research team to share relevant feedback and iterate on applying their latest modelsCollaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like:4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companiesFormer founder, or early engineer at a startup who built a product from scratch is a plusInterest in building company culture and/or recruiting the world’s most talented peopleProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlinesAbout 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.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.

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About the TeamOpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires thoughtful engagement with public policy stakeholders, key industrial leaders, and the broader community affected by AI. Our Global Affairs team builds trusted, collaborative relationships with public officials and the broader policymaking ecosystem to inform and support the responsible development and deployment of AI technologies. We also develop partnerships with a range of external parties to increase access to the computing power needed to make AI accessible to as many people as possible.About the RoleOur infrastructure-related efforts are increasingly vital to this work. We are building out our capacity to engage deeply in these areas and seeking someone with appropriate skills and experience to help us develop OpenAI’s infrastructure public policies and partnerships. This work involves consideration of complex financial incentives, export policy, global trade arrangements, infrastructure security considerations and a variety of other factors that affect the availability and cost of AI compute around the world. This work will directly support OpenAI’s Stargate and OpenAI for Countries initiatives.As the Infrastructure Policy and Partnerships Specialist on OpenAI’s Global Affairs team, you will support OpenAI’s infrastructure goals by developing policy proposals, collaborating with third party industry and advocacy organizations, and communicating with regulators and U.S. and foreign government officials.Internal collaboration is as essential to this role as external engagement. You will work closely with cross-functional teams to ensure alignment between policy strategy, GTM, finance, security, technical deployment, and OpenAI’s values. This role will include project management work, internal coordination and organizational collaboration, and thought leadership.Flexibility, adaptability, and a willingness to shift rapidly to a range of unanticipated tasks is essential to this role.You’ll thrive in this role if you:Are deeply knowledgeable about AI infrastructure and the ways in which politics, policy and regulations affect the competition to build AI infrastructure at speed.Are an effective cross-functional collaborator, capable of translating technical infrastructure needs into clear and actionable policy strategies and campaigns. Are excited by the opportunity to help build frameworks for responsible infrastructure growth. Are a strong communicator who can engage diverse audiences—from engineers to government officials to civil society groups. Enjoy synthesizing information from a variety of sources, analyzing policy data, and communicating through written, verbal and visual presentations We’re looking for:8+ years of experience in technology related government affairs with specific experience working on semiconductor/chips/data center, supply chain resiliency, and/or AI infrastructure more broadly.Infrastructure regulatory experience such as technical training and experience participating in Data Center negotiations on agreements with community groups and policy organizations like the Data Center AllianceSemiconductor experience and expertise on the impact of public policies, incentives, trade agreements on the availability and cost of AI compute and global supply chains,. Prior experience working across teams (e.g., infrastructure, legal, communications, GTM, finance, partnerships) to develop coordinated strategies. Good humor and flexibility, exceptional judgment, integrity, and the ability to represent OpenAI in professional forums. 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.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.