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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 an experienced Compensation Partner to join our Total Rewards team and lead compensation for our international locations as Anthropic builds out its global presence. This role will support our international org on the strategy, design and execution of Anthropic's compensation programs, adapting a global framework to markets that work differently. It is a great fit for someone who has seen compensation excellence at scale and has operated in rapidly scaling, high-ambiguity environments with evolving scope. You'll serve as connective tissue between a fast-moving regional business and a global Total Rewards team. Responsibilities - Own compensation for our international locations (such as Germany, France, UK, Ireland, Japan, Australia, India, and beyond as the international team grows), building scalable processes and infrastructure across key markets - Support Anthropic's overall compensation framework, including salary, variable compensation and equity-based programs, and adapt it for local market practice, legal requirements, and competitive dynamics while keeping a consistent global philosophy - Operate as a strategic compensation business partner to international leadership, People Partners, and recruiting, building relationships and context to navigate ambiguous problems and recommend solutions tailored to Anthropic's unique needs - Own comp cycle execution end-to-end for international employees, including local market benchmarking, budget modeling, currency considerations, manager enablement, edge-case resolution, and exec-ready rollups, in partnership with the broader Total Rewards team - Navigate complex international regulatory environments, ensuring compliance with local pay and employment requirements across markets, including works councils, statutory pay and benefits requirements, pay transparency obligations, and country-specific equity and tax considerations, in close partnership with Legal and Equity - Build and maintain international benchmarking methodology - Provide subject matter expertise and counsel to People Partners, managers and leadership on pay decisions, policy and guideline interpretations, and job evaluations across regions - Create compelling data narratives and presentations for leadership, translating complex analysis into clear strategic recommendations - Partner cross-functionally to develop scalable processes that enable consistent, high-quality compensation decision-making across the organization - Develop and deliver enablement on our compensation philosophy and programs across Anthropic for your business stakeholders You may be a good fit if you: - Have deep expertise in compensation, preferably in a high-growth environment, with direct experience across multiple countries or regions - Have a strong working knowledge of international compensation practices and the regulatory landscape across key markets, including works councils and pay transparency requirements - Have experience localizing global compensation programs - Excel at collaborating across time zones with exceptional cross-cultural communication skills - Have strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver great results - Thrive in strategic thinking while remaining comfortable with hands-on execution and detailed analysis - Are an exceptional communicator, particularly in writing - Are comfortable with ambiguity and thrive in fast-paced, high-growth environments Strong candidates may also: - Speak languages relevant to our international markets (fluency in German, French, Japanese, or other languages is a plus) - Have supported a US-headquartered company through rapid international expansion The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €220.000 - €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring Infrastructure Engineers to build the platform every ElevenLabs team ships on. From the GPU clusters that train and serve our models to the cloud platform our product teams build on, you’ll own the infrastructure that millions of users and thousands of businesses depend on. You’ll work directly with research, product, security and safety engineers to launch new infrastructure, scale it as their needs grow, and lead the migrations and platform improvements that make it more reliable, secure and cost-efficient. - Run and scale Kubernetes clusters, including GPU clusters for inference and training, across cloud and on-prem. - Set up compute, networking, permissions and access for other teams as they grow. - Host and operate the data systems product teams depend on. - Build the tooling, automations and services that make infrastructure self-serve for the rest of the companyTake on large efforts, such as cluster builds and cloud migrations, and see them through end to end. We’re a flat team, so you’ll be hands-on from day one. You have strong opinions about doing things right, and you can still move fast when parts of the stack aren’t perfect. Requirements - Deep, hands-on experience running Kubernetes in production at scale. - Strong experience with GCP, including designing, building and migrating cloud infrastructure end to end as an individual contributor. - Strong Python and/or Golang skills and a habit of solving infrastructure problems with code and automation. - Experience operating stateful systems (databases, observability stacks) on behalf of other engineering teams. - Solid fundamentals in infrastructure as code (Terraform, ArgoCD), IAM management, and the pragmatism to prioritise what matters in a fast-moving environment. Bonus: experience with GPU clusters or ML training/inference infrastructure (e.g. vLLM, Slurm), on-prem/bare-metal or deep networking experience, or open-source contributions in the cloud-native community. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the Role At OpenAI, we are proud to build and operate our data centers with a community-first led approach. From construction to operations, we want to be positive partners within our data center communities that we are honored to call home…and we are just getting started. OpenAI is seeking a Workforce Development & Education Manager to help build local talent for data center construction, commissioning, and operations in communities hosting OpenAI infrastructure projects. You will work with infrastructure teams and project partners, education providers, and local Community Engagement Leads to understand workforce needs and help education and training providers prepare people for these jobs of the future. You will build partnerships with local community colleges, technical schools, universities, and union apprenticeship programs from the ground up. Working with educators and technical experts, you will develop and expand training programs that connect local residents with career opportunities and meet the local industry hiring needs. Key Responsibilities - Work in partnership with the local Community Engagement Lead to build and manage relationships with community colleges, technical schools, universities, career and technical education programs, and local workforce boards. - Work with building trades unions and joint apprenticeship and training committees to expand training opportunities aligned with project needs both on a local and national level. - Partner with OpenAI’s infrastructure teams, developers, contractors, and operators to identify job requirements, skills gaps, and hiring timelines across construction, commissioning, and operations. - Work with educators and technical experts to develop or adapt curricula, hands-on training, and credential programs that reflect employer requirements and offerings available through OpenAI’s literacy programs. - Support apprenticeships, internships, and other work-based learning opportunities with participating employers. - Manage program implementation, including timelines, partner responsibilities, and progress against agreed goals. - Track participation, completion, credential attainment, job placement, and retention, working with partners to use the results to improve programs. - Partner with the local Community Engagement Lead to identify workforce grants and other funding opportunities, and help education and training partners pursue relevant support. - Represent OpenAI on local workforce advisory councils and in meetings with education, labor, and community partners, in partnership with the Community Engagement Lead. - Manage the program operations and administrative tasks needed to run a successful workforce development program within our data center communities. Qualifications - Seven or more years of experience in workforce development, technical education, apprenticeship programs, or education–industry partnerships. - Bachelor’s degree in education, instructional design, workforce development, engineering technology, or a related field, or equivalent professional experience. - Experience developing and delivering technical training programs with employers and education providers. - Experience working with trade unions, apprenticeship programs, and labor leaders. - Ability to work with technical experts to translate job requirements into clear learning objectives and practical training. - Experience managing programs with multiple partners, competing priorities, and defined deadlines. - Strong written and verbal communication skills, including experience working with educators, public officials, labor representatives, and technical leaders. - Experience evaluating program outcomes and using findings to improve delivery. - Experience in operating with ambiguity and building successful programs from the ground up, with responsible scalability in mind. Preferred Skills - Experience in data centers, telecommunications, semiconductor manufacturing, energy, or other industries with substantial technical workforce needs. - Familiarity with training and credentials relevant to data center careers, such as OSHA 30-hour and NFPA 70E safety training, Schneider Electric DCCA, BICSI cabling credentials, CompTIA certifications, and EPA Section 608 certification for refrigerant work. - Experience with workforce funding sources, including Workforce Innovation and Opportunity Act programs, apprenticeship grants, and state workforce or community college grants. - Experience helping local residents enter skilled trades and technical careers through community-based education and training partnerships. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team: We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here ! About the role: We are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you. *Location: SF, NYC, Boston, or Remote U.S. What you will do: - Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience - Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex - Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse - Build dashboards that track progress against company goals and KPIs - Analyze product usage and operational data to surface insights around customer health, adoption, and revenue - Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making What you'll bring: - 3+ years experience in a related role (analytics engineer, data engineer, or similar) - Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools) - Detail oriented, enjoys data spelunking, and can synthesize findings effectively - Curiosity and a strong business sense to help anticipate needs and generate meaningful insights - Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most - You are self-directed - you don’t wait for process or oversight to start making an impact Compensation & Benefits: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual salary range: $140,000-$180,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We’re hiring a Developer Advocate to own the Pinecone community —online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences. To succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment. If you’re excited about: - Learning new technologies and helping others succeed with that technology. - Playing a central role in an exciting and rapidly expanding community. - Shaping the course of a fast-growing company and product category. - Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness. Then we want to talk to you! Responsibilities: Community Programs (Global) - Lead and grow Pinecone’s Discord : drive engagement, improve onboarding, set norms, and keep the space high-signal. - Run recurring office hours that consistently help developers unblock, learn best practices, and ship. - Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs). Events (SF/Bay Area) - Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events . - Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement. Technical content + assets - Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases: - RAG systems and retrieval quality - Knowledge management patterns using Assistant and other incubating products - Platform/infra patterns for scale and reliability - Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build. Requirements: - 2+ years of experience in a technical role such as software engineering, solution engineering, or machine learning. - Proficient in 2+ programming languages. - Owned and grown a technical developer community. - Ran in person developer events end to end. - Shipped demos and sample code and taught them clearly. - Strong writing and live speaking and Q&A. - Fluent in LLM apps and RAG and strong API instincts. Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. - Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. - Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. - Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. - Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. - Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). - Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. - Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. - Bonus: - Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. - Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. - Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: Location: Hiring in San Francisco, New York We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. What You’ll Do: - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through - Build relationships with prospects and customers, understanding their needs and how our products can help - Prospect strategically into SMB, mid-market, and small-enterprise accounts How to be successful in this role: - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward Compensation: - Annual salary range: $220,000 OTE Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. We’re building platforms that connect model intelligence with practical scientific workflows. Our work covers workflows from next-gen sequencing analysis to designing new drugs, helping scientists run computational workloads as well as access laboratory services. By making these capabilities more accessible and useful, we aim to improve early discovery and support downstream progress in drug development. About the role We’re looking for experienced full-stack product engineers with strong backend skills to join our growing Life Sciences team. This is an individual contributor role with substantial ownership. You’ll help define products, design systems, and ship experiences that connect scientists with AI capabilities and laboratory workflows. You’ll work across the stack, partnering with researchers, scientists, and infrastructure engineers to turn complex needs into reliable, intuitive products. We value strong engineering fundamentals, product judgment, and experience shipping to large user bases. Life sciences experience is helpful, but you don’t need a scientific background to make a meaningful contribution. In this role, you will - Design backend services, APIs, and integrations that connect users with models, scientific tools, and laboratory services. - Create intuitive interfaces that help scientists navigate complex workflows. - Own projects from problem definition and technical design through launch, operation, and iteration. - Work with scientific and research partners to identify user needs and prioritize valuable product improvements. - Partner with dedicated infrastructure engineers on performance, reliability, and scaling. - Make thoughtful engineering decisions that balance speed, quality, and long-term maintainability. You might thrive in this role if you - Have strong software engineering fundamentals and depth in backend development, alongside the ability to build across the stack. - Have shipped and operated products used by large user bases. - Bring strong product sense and can translate ambiguous needs into useful software. - Work autonomously, make sound technical decisions, and drive projects forward with limited direction. - Enjoy hands-on building and taking ownership within a lean team. - Are excited about advances in AI and how they could change scientific work. - Learn unfamiliar domains quickly and collaborate effectively with scientific and technical partners. Particularly relevant experience - Building AI applications, model-serving integrations, or inference platforms. - Developing marketplaces or products that coordinate services and complex workflows. - Taking new products from early concepts through launch and adoption. - Working with scientific tools, research data, or laboratory systems. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career) - Clear, confident communicator who can engage both technical and business audiences - Motivated by learning, iteration, and experimentation you treat outreach like a craft - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual On Target Earnings - 110,000 GBP (70/30 split) Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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 Scientists use Claude across the life sciences, from drug discovery and research biology to clinical development and manufacturing. To support that work, Anthropic introduced the Life Sciences Verification Program (LSVP), which gives verified life science professionals access to Claude with a refined set of safeguards that is more permissive for biology-related work. The program is in beta.We're hiring a Technical Program Manager to own the program of work that expands that access and helps scale it with safety in mind. Each expansion depends on many teams at once and no single team owns the path end to end. You'll become the single owner of that program, the person who knows what each expansion requires, where every workstream stands, what it is waiting on, and who needs to decide. This is a cross-org execution role, not a research role, and it does not require a life sciences background. LSVP is the starting point, and the scope will grow alongside Anthropic's broader work in the life sciences. Over time, more of the life sciences community can get verified access, and each new expansion takes less bespoke effort than the last. Responsibilities - Own the program for expanding access to Anthropic's life sciences verification programs: scoping, sequencing, dependencies, and tradeoffs across safeguards, platform, and product engineering teams - Scope and drive the cross-org engineering work that each expansion requires, from new plan and account types to new platforms - Partner with the product manager to turn program goals into a sequenced plan with clear owners and dates - Drive clarity on data access, retention, and review requirements, and on the changes they require across safeguards, access, and provisioning - Drive user experience scoping across the Claude product surfaces where the program is available - Find and remove the technical blockers that keep eligible organizations from accessing life sciences capabilities - Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs - Convert recurring efforts into documented, repeatable processes so that each new expansion requires less bespoke coordination You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have experience coordinating across multiple engineering teams and organizations simultaneously, including safeguards, platform, and product partners - Can engage meaningfully with the engineers doing the work, from platform and access systems to product surfaces - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Have worked on cloud or platform programs (preferred but not required) - Do not need a life sciences background. This is not a research role, and no life sciences experience is required - Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to the life sciences community safely and reliably The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Software Engineers to build the mobile web experience for Dots. You will create responsive, accessible interfaces that let people start work, follow progress, and guide their agents from a phone or browser. You will help establish interaction patterns for ongoing, asynchronous work and make sophisticated agent capabilities feel clear and approachable. In this role, you will: - Design and ship mobile web experiences for creating tasks, reviewing agent activity, and providing feedback or direction. - Build interfaces that handle streaming updates, long-running tasks, interrupted sessions, and changing connectivity. - Improve responsiveness, loading performance, accessibility, and usability across screen sizes and browsers. - Partner with design and product to prototype interaction patterns that give users visibility and control over agent actions. - Work with backend and full stack engineers on APIs, client state, and reliable synchronization between the interface and agent services. - Own features from exploration and technical design through launch, measurement, and refinement. - Help set frontend architecture and engineering practices while staying hands-on with implementation. You might thrive in this role if you: - Have substantial experience shipping polished web applications, with deep expertise in mobile web development and browser behavior. - Bring strong frontend engineering skills and understand responsive layouts, accessibility, client state, and application performance. - Have built interactive interfaces that stay understandable as data or task state changes asynchronously. - Combine attention to visual and interaction details with sound technical judgment. - Can turn ambiguous product problems into working software and use user feedback to improve it. - Work well with designers, product partners, researchers, and engineers across the stack. - Have led complex projects or influenced architecture while continuing to write and ship code. - Experience with real-time collaboration, offline or intermittent connectivity, or products that help users manage complex workflows is especially relevant. - Prior experience with AI or machine learning is helpful, but not required. We welcome experienced engineers who want to bring strong product and engineering judgment to a new category of software. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office. What You Will Do Delivering value to the customers • Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities. Product deployment • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to deploy relevant solutions according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Develop custom features for customers as needed. Customer Onboarding • Responsible for onboarding customers on our products, providing guidance on deployment and integration • Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces Project management • Define and track success metrics of the POC being rolled out at customers. • Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward. What We're Looking For • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure • You have been involved in a customer facing role • You have strong project & stakeholder management skills • You have foundational knowledge in AI/ML/Data science • You have ability to connect technology and business value • You are result driven and resilient • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process (optional) • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min System Design • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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're hiring a strategist to join the Policy Campaigns team within Anthropic's Public Policy team. The Policy Campaigns team turns the company's policy priorities into active campaigns: research and polling, messaging, coalitions, paid media, and external execution. We're hiring a strategist to develop and execute paid media campaign strategy, manage agencies, and measure the success of our advocacy campaigns in the US and in priority markets abroad. This is a strategy and program management role. You'll decide what a campaign needs to accomplish, who needs to hear from us, which messages and tactics will move them, and then implement accordingly. Anthropic works on many policy issues at once, across many markets, and you'll need to understand the full set of issues and find the right cross-cutting approaches to advance our goals. You'll direct the agencies that produce and place the work, and bring Policy, Communications, Marketing, Public Affairs, and Legal to agreement on tight legislative timelines. The role also carries a substantial project management load. You'll run several campaigns at once, across time zones and agencies, and keep each one on schedule and on budget. You'll report to the Head of Policy Campaigns. Key responsibilities - Design paid and digital campaign strategies for legislative and policy goals, including objectives, audiences, messaging, tactics, phasing, and budget - Develop campaign messaging and tactics with the Campaigns team, executives, Public Affairs, and Communications, and make sure paid media carries the core message - Spot where a campaign could conflict with Anthropic's other policy, commercial, or international priorities, and resolve those tensions before launch - Direct creative and media-buying agencies: set strategy and briefs, scopes and budgets, hold timelines, and hold the work to a high standard - Run several campaigns at once across time zones and agencies: own the timelines, workplans, budgets, and status reporting, and keep partners in the US and abroad aligned - Build rapid response capabilities with Policy, Marketing, Legal, and Communications so campaigns can respond quickly in changing environments - Set success measures before launch, report results plainly, and adjust strategy based on what works - Work cross-functionally to find the stories and moments that make policy arguments concrete for policymakers and opinion formers Minimum qualifications - Experience running digital content and paid media for a corporate affairs team, political campaign, advocacy organization, public affairs firm, or issue campaign, including owning a media budget - Experience managing creative and media-buying agencies, including briefs, scopes, budgets, and performance reviews - Experience running campaigns aimed at policymakers, key opinion formers, or other influential audiences - Experience managing several campaigns or projects at once, with multiple agencies and stakeholders in different time zones - Experience building campaign reporting in spreadsheets or dashboards Preferred qualifications - Experience managing state or federal legislative campaigns - Experience running campaigns inside a large organization or coalition with competing priorities - Working knowledge of AI safety and technology policy issues - Experience running campaigns in markets outside the US - Hands-on familiarity with ad platforms and targeting, such as Meta, LinkedIn, and programmatic buying The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Full Stack Software Engineers to build Dots product experiences from the interface through the services that power them. You will help define how people delegate tasks to personal agents, follow their progress, and collaborate with them over time. This role combines hands-on product development with the systems work needed to make persistent, asynchronous agent experiences reliable. In this role, you will: - Build and launch features across web interfaces, APIs, backend services, and data models. - Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices. - Translate emerging model capabilities into product prototypes with research, product, and design partners. - Design clear interfaces between product surfaces and agent execution systems. - Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures. - Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback. - Help establish technical direction, testing practices, and observability as the product grows. You might thrive in this role if you: - Have significant experience building and shipping products across frontend and backend systems. - Can move comfortably between user interfaces, service design, APIs, and data modeling. - Bring strong product instincts and care about making complex capabilities understandable to users. - Have taken ambiguous ideas from concept to production and made practical tradeoffs between iteration speed and long-term maintainability. - Understand asynchronous workflows and can reason about state, consistency, and failure across system boundaries. - Collaborate effectively with design, product, research, and engineering partners. - Have owned complex engineering projects and helped other engineers make sound technical decisions. - Experience launching new consumer products, building agent or workflow applications, or working in small teams with broad engineering ownership is especially relevant. - Prior experience with AI or machine learning is helpful, but not required. We welcome experienced engineers who want to bring strong product and engineering judgment to a new category of software. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As International Mobility Lead, you will own and develop our international mobility approach, supporting employees and the business on cross-border moves and assignments. You will act as the key point of contact for mobility topics, balancing employee experience, business needs and compliance requirements. What You Will Do - Lead and coordinate international transfers and mobility cases end-to-end. - Advise HR teams, managers and employees on mobility options and requirements. - Manage and continuously improve mobility policies and processes. - Coordinate immigration, tax, social security and payroll topics with internal teams and external providers. - Ensure a smooth and consistent employee experience throughout the mobility journey. - Manage mobility partners and vendors, ensuring quality and cost-effective delivery. - Monitor mobility activity and provide relevant reporting and insights. What We're Looking For - Strong experience in International / Global Mobility within an international HR environment. - Good knowledge of mobility topics, including immigration, tax, social security and cross-border employment, benefits. - Strong stakeholder management skills and the ability to partner effectively with HR teams, managers and employees. - A pragmatic and solution-oriented mindset, with the ability to navigate complex situations. - Strong organizational skills and the ability to manage multiple mobility cases and priorities. - A low-ego, team-first mindset What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the role We are looking for a hands-on Revenue Operations Manager to partner closely with APAC sales leadership, drive commercial planning and performance, and build a growing team focused on improving sales execution across the region. Based in Singapore, you will support a 100+ person GTM organization across Southeast Asia, ANZ, India, South Korea, and Japan. You will navigate the needs of markets at different stages of growth, balancing regional priorities with the development of consistent, scalable operating practices. As part of the global RevOps organization, you will work across analytics, systems, and operations to turn business insights and field feedback into improvements in sales execution and productivity. You will also help shape how we leverage AI and automation to simplify processes, reduce manual work, and enable our sales teams to move faster. Key responsibilities - Partner with regional leadership on commercial strategy. Evaluate growth opportunities and business performance across APAC markets, translate regional objectives into quarterly priorities, and recommend where to focus sales resources and investments. - Own territory planning and execution. Lead territory design, rollout and ongoing management with Sales and global RevOps; align account allocation to market potential, seller capacity and ramp, and resolve coverage gaps. - Drive capacity and quota planning. Partner with Sales, Finance and RevOps on headcount, capacity and regional quotas; translate plans into territory targets and track attainment. - Shape regional pipeline targets. Partner with Sales and Marketing to establish pipeline creation and coverage targets, identify gaps across markets and segments, and develop targeted actions to improve pipeline health and conversion. - Run the regional operating cadence. Lead weekly, monthly and quarterly business reviews that produce decisions, owners and deadlines; track performance, escalate blockers and close out actions. - Strengthen forecast discipline. Challenge assumptions with sales leaders and managers, inspect changes and surface risks, slippage and upside early. - Improve productivity through AI and automation. Gather seller and leadership feedback, prioritize opportunities with GTM Systems, define requirements, pilot improvements and measure adoption, time saved and execution speed. - Deliver cross-functional change. Represent APAC in global initiatives, surface regional business needs to global teams, and coordinate implementation and adoption across Sales, Finance, Marketing, Enablement, and GTM Systems. Must-haves - Experience leading and developing sales operations, revenue operations or commercial business partnership teams across the APAC region - A track record of translating analysis into action and measurable results. - Credibility with senior sales leaders and the ability to influence decisions without formal authority. - Strong commercial judgment across territories, capacity, quotas, pipeline, forecasting and seller productivity. - Experience delivering cross-functional improvements in a growing B2B technology business. - Ability to operate independently, prioritize competing business needs, and drive execution in a fast-paced, evolving organization. Nice-to-haves - Experience supporting sales organizations across multiple APAC markets. - Experience building and scaling commercial operations in a high-growth organization. - Experience identifying and implementing process improvements through automation and AI. Foundational skills - Analytical problem solving. - Clear communication and constructive challenge. - Prioritization, ownership and follow-through. - Coaching and delegation. - Process improvement and AI/automation judgment. What success looks like - Regional leaders have clear priorities backed by evidence and practical action plans. - Territories, capacity and quotas are aligned to regional opportunity and field realities. - Pipeline and performance gaps trigger timely interventions with measured outcomes. - Business reviews consistently produce decisions and completed follow-up. - Business partners earn leaders’ trust and operate with increasing independence. - Seller feedback leads to adopted process improvements that save time and accelerate execution. - Regional feedback improves global priorities, and global initiatives are used effectively in the field. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production. ChatGPT development depends on a long chain: local environments, Bazel builds, CI, tests, merges, release candidates, deploys, synthetics, alerts, and production health. When any link is slow, flaky, or unclear, engineers lose hours, fixes reach users later, and on-call load rises. This team turns that cross-cutting drag into owned, measured, and durable improvements. About the Role We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production. This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems. In this role, you will: - Reduce local development startup and iteration latency for ChatGPT engineers - Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations. - Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns. - Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers. - Make deploy pipelines more self-healing, especially when transient alerts, known-bad clusters, recovered synthetics, stale RCs, or noisy gates should not require human babysitting. - Improve deploy observability so engineers can quickly tell where a change is, what is blocking it, whether the signal is trustworthy, and who owns the next action. - Establish lightweight metrics for before-and-after impact, such as commit-to-prod latency, deploy-window throughput, CI tail latency, local bootup time, failure rates, manual interventions, false-positive gates, and developer-reported pain. You might thrive in this role if you: - Have strong experience with large-scale developer infrastructure, build systems, CI/CD, deployment systems, or production reliability. - Can debug across local machines, devboxes, remote caches, monorepos, service dependencies, auth systems, and distributed deploy pipelines. - Are comfortable with systems like Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript services, GitHub workflows, and large monorepo tooling, or can ramp quickly on equivalents. - Think in product loops as much as systems loops: you care whether developers can understand and trust the workflow, not just whether a subsystem is technically healthy. - Know how to replace repeated manual intervention with policy-backed automation while preserving production safety. - Communicate well across teams and can turn ambiguous "this is slow/broken/flaky" reports into crisp owners, hypotheses, metrics, and shipped fixes. - Prefer practical measurement over vibes, while still knowing that developer frustration is often the first signal of a real systems problem. - Are energized by high-leverage work where a small improvement can save hundreds of engineering hours. Nice to have: - Experience improving developer experience in a very large monorepo. - Experience with remote execution, remote caching, hermetic builds, or cache reproducibility. - Experience designing CI quarantine, test ownership, merge queue, or auto-revert systems. - Experience with progressive delivery, canary/preview/stable deploy pipelines, synthetics, alert quality, and deploy-manager style workflows. - Experience building agent-assisted developer workflows, such as automated PR babysitting, CI triage, or conflict resolution. - Familiarity with security and access-control constraints around secrets, internal auth, VPN/exit-node networking, and local development. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English , and the interview process will be conducted in English. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s Hardware organization develops custom silicon and systems for advanced AI workloads. Our first-party accelerator team works across chip architecture, design, software, and systems to build the computing platforms that power frontier models. We are a small, dynamic team that values technical breadth, hands-on engineering, and creative approaches to building complex hardware. About the Role We’re looking for a SoC Engineer to help architect, design, and integrate OpenAI’s first-party AI accelerators. You will build the processor, interconnect, I/O, and platform infrastructure that connects our accelerator designs into complete, functional systems. This role combines architectural judgment with hands-on implementation. You’ll work closely with design, architecture, verification, and software teams throughout development, from defining subsystem requirements and integrating IP to pre-silicon validation, silicon bring-up, and post-silicon debug. You should enjoy stretching across domains, rolling up your sleeves, and doing the work needed to make a complex system function end to end. In this role, you will: - Define and implement SoC architectures spanning embedded processors, AMBA interconnects, peripheral subsystems, PCI Express, Ethernet and die-to-die interfaces. - Develop the microarchitecture and RTL design of subsystems supporting I/O and SoC functionality. - Integrate Arm Cortex-M and Cortex-A processors, AXI/APB fabrics, and third-party controller IP, including the RTL and glue logic needed to connect these components. - Develop reset and boot architectures, working with firmware and software teams to define sequencing, initialization, and survivability behavior. - Incorporate debug, test, and security requirements into the SoC architecture and implementation, partnering with other silicon designers to make the silicon observable, testable, and secure. - Drive PCIe and other I/O integration, including controller and PHY interfaces, high-speed SerDes, and die-to-die connectivity. - Contribute to power management and security architecture and design. - Work directly with third-party IP vendors to define technical requirements, evaluate IP capabilities, coordinate deliverables, and resolve issues from integration through silicon bring-up. - Work across architecture, design, verification, physical design, and software teams to define interfaces, resolve integration issues, and carry designs through pre-silicon validation and post-silicon bring-up. - Work closely with Firmware and Software teams to define boot, configuration and runtime behavior and functionality. - Build and apply automation and AI-assisted tools to accelerate design, IP integration, consistency checking, and debugging while maintaining engineering quality. You might thrive in this role if you: - Have experience in SoC architecture, RTL design, and subsystem or full-chip integration, with hands-on ownership through implementation and silicon bring-up. - Are familiar with Arm processor subsystems, including Cortex-M and Cortex-A, and AMBA protocols and interconnects such as AXI and APB. - Understand PCIe protocols and have experience configuring, integrating, and debugging controller IP. - Have experience integrating high-speed I/O, including SerDes/PHY interfaces and die-to-die links. - Have experience working directly with third-party IP vendors to evaluate technical fit, communicate requirements, and drive integration and debug issues to resolution. - Understand reset and boot architecture and the interactions between hardware, firmware, and software during initialization and recovery. - Have experience designing for debug, test, and security, and can reason about how these requirements affect the broader system. - Are comfortable writing and debugging Verilog/SystemVerilog and building scripts or tools to make integration work more efficient and reliable. - Enjoy stretching into multiple domains, learning unfamiliar parts of a system, and rolling up your sleeves to build and debug. - Enjoy working on a small, dynamic team where priorities evolve and engineers take broad ownership. - Are excited about creatively applying automation and AI tools to hardware design and integration work. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Event Technical Producer at OpenAI, you will lead technical production for complex internal and external events across multiple sites, from early planning through rehearsal and live delivery. You will partner with internal stakeholders and technical teams to translate event requirements into clear production plans. You will coordinate internal and external crews, direct large, distributed shows and coordinate cross-site handoffs, and use your technical expertise to resolve production challenges and make informed tradeoffs. You will also build reusable production practices and AI workflows, improve how teams deliver events, and mentor peers and junior crew members. This is a full-time, onsite role requiring five days per week in San Francisco. Travel to other OpenAI locations is required as needed for assigned events. In this role, you will: - Lead technical production for complex internal, hybrid, and distributed events from early planning and scoping through rehearsal, live delivery, and debrief. - Align Internal Comms, Marketing, Brand Experience, and Workplace on audience goals, requirements, scope, dependencies, and decision owners. Turn ambiguous or competing needs into an agreed production plan and readiness criteria. - Configure and operate live audio, video switching, cameras, playback, conferencing, streaming, and recording systems for the agreed production. - Integrate the run of show across sites and lead multiple crews globally for all-company events. Align technical cues, rehearsals, content handoffs, schedules, and contingencies with partner teams to deliver one cohesive event. - Lead rehearsals and validate the complete audience experience, including remote contribution, playback, recording, and tested backup paths. - Independently prioritize technical production tradeoffs and lead risk reviews and incident response. Resolve ambiguity within your scope, and seek guidance for complex situations or decisions owned by event, staffing, budget, or engineering partners. - Build reusable production plans, show files, runbooks, and change-control practices. Coach peers and junior crew members to use them independently and verify improvements in readiness, troubleshooting, and execution. - Set a prioritized roadmap for production improvements using audience feedback, debriefs, and recurring failures. Lead workflow changes across teams and define permanent-system improvements with AV Engineering. - Identify repeatable production work and build AI and agentic workflows with partner teams. Validate results, establish operating and maintenance ownership, support adoption, and measure preparation effort or reliability improvements. You might thrive in this role if you have: - Experience leading complex live or hybrid productions across multiple teams, from ambiguous requirements through rehearsal, delivery, and debrief. - Advanced expertise in multiple live-production domains, such as audio, video, conferencing, streaming, or AV-over-IP, and the ability to diagnose complex interactions across the complete signal path. - Experience configuring and operating professional production systems and creating reusable show files or control workflows. - Practical AV-over-IP and networking knowledge sufficient to troubleshoot live media, timing, and connectivity with engineering partners. - Experience independently resolving ambiguous production problems, setting detailed plans, and prioritizing tradeoffs while seeking guidance when complexity or decision authority requires it. - Demonstrated ownership of rehearsals, technical readiness, failover testing, and calm incident response for high-priority productions. - Ability to lead crews and influence partner teams without reporting authority, with clear boundaries for content, brand, budget, staffing, and engineering decisions. - Experience working with communications, marketing, brand or creative experience, Workplace, and technical partners on complex events, including sensitive planning and late changes. - Experience building reusable production frameworks and validated AI workflows, guiding team adoption, and mentoring peers or junior staff with measurable improvements in their capability. - Experience with multi-space or multi-location productions and sensitive executive events is a plus. - Experience with systems such as Q-SYS, Dante, Ross, Vizrt, or comparable production platforms is a plus. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. GTM Systems builds and operates the tools that help our teams serve customers. We turn operational needs into reliable workflows, integrations, and automation so support teams can focus on helping customers. About the role We’re looking for a highly autonomous systems engineer to own and improve the systems that support our government work, including Salesforce and related integrations. Government systems will be your primary focus, with opportunities to contribute to other priorities. You’ll build the platforms and workflows our support teams rely on, including Salesforce Service Cloud. The work spans new capabilities, ongoing maintenance, automation, and reliability. You’ll identify needs, clarify scope, make technical decisions, and carry work through implementation, testing, production validation, and ongoing operation. You’ll work closely with government, support, operations, Security, and engineering partners to understand constraints and deliver systems that work well in practice. In this role, you'll: - Own government support systems from problem definition through design, delivery, production validation, and ongoing operation. Turn ambiguous needs into clear priorities and practical technical plans. - Design and build maintainable service workflows, data models, interfaces, and integrations. - Partner with government, support, operations, security, and engineering teams to make technical tradeoffs and translate access, data-handling, and change-control requirements into working solutions. - Improve reliability and performance through automated tests, observability, safe releases, incident response, and recovery. Validate changes in production and address recurring failure modes. - Document architecture, operational procedures, and recovery paths so systems are understandable and supportable. Automate repetitive work and contribute to other GASS priorities as needed. You might thrive in this role if you have: - Prior experience delivering or operating systems in a government environment is required. You can explain how operational, access, or change-control constraints shaped your engineering decisions. - Deep Salesforce Service Cloud experience, including Apex, Lightning Web Components, Flow, data modeling, configuration, and integrations. Sound judgment about when to use code or declarative automation. - A track record of owning ambiguous technical work independently: identifying needs, defining scope, coordinating partners, making decisions, and following through after launch. - Strong software engineering fundamentals: clear architecture, readable code, automated tests, and familiarity with languages such as Python or Java. - Experience with Salesforce security and permissions, appropriate data handling, production reliability, incident response, and recovery. - A strong understanding of support workflows and the ability to translate operational needs into maintainable systems. Clear communication and sound judgment about when to involve partners or escalate a decision. - Preferred: relevant Salesforce certifications, such as Platform Developer II, Service Cloud Consultant, Platform App Builder, or Application Architect. - Preferred: experience applying AI or automation to support operations. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team The Search Product Infrastructure team builds the systems that power search experiences across ChatGPT. We partner with teams developing models, operating inference infrastructure, building specialized search experiences, and maintaining search indexes to bring advances in models and retrieval into production. Our work spans search orchestration, model serving, experimentation, and distributed systems, with direct impact on answer quality, responsiveness, reliability, and efficiency at ChatGPT scale. About the Role As a senior engineer on the Search Product Infrastructure team, you will design, build, and operate the systems that connect models with search at ChatGPT scale. You will tackle challenges in search orchestration, inference efficiency, experimentation, and production reliability, making tradeoffs that directly shape answer quality and user experience. Working closely with researchers and partner engineering teams, you will own projects from technical design through launch and iteration, evolving the architecture as models, product capabilities, and demand grow. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and evolve the services that coordinate search classification, retrieval, ranking, and model inference, working closely with researchers and partner engineering teams to bring new capabilities into production. - Improve end-to-end latency, throughput, and infrastructure efficiency through profiling, caching, request routing, and capacity planning, making informed tradeoffs between search quality, reliability, and compute cost. - Build experimentation tooling and automation to run reproducible A/B tests, define success metrics, and measure product impact. Use shadow traffic and load testing to validate system behavior, estimate capacity needs, and support safe production rollouts. - Own production reliability through observability, resilient fallback behavior, incident response, and automation that improves launch safety and reduces operational toil. - Build search APIs and tool interfaces that enable models and agents to retrieve information reliably while respecting access controls and preserving source attribution. You might thrive in this role if you: - Have significant experience designing, building, and operating large-scale distributed systems, with depth in performance, reliability, or resource efficiency. - Bring experience in one or more of search, information retrieval, ML infrastructure, inference serving, or other high-throughput online systems. - Have strong programming and systems debugging skills, and are comfortable working across languages and unfamiliar parts of a production stack. - Can turn ambiguous product or research needs into clear technical plans, align partners across teams, and carry projects through deployment and measurable results. - Enjoy learning across systems and ML, investigating unfamiliar problems, and sharing technical decisions and lessons clearly with others. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team The ChatGPT Space team is building a shared workspace where people and AI agents turn ideas into polished, editable work. Space brings teammates, ChatGPT, and dots together around shared knowledge and projects, with creation experiences spanning Pages, Sheets, Slides, and new kinds of artifacts. We want work to keep improving beyond the first draft, using shared context and collaboration to stay current as projects evolve. We work across product, design, and research, partnering closely with model training teams to shape how frontier models create and edit artifacts. We ship quickly, learn from real usage, and hold a high bar for craft, correctness, and speed. About the Role We’re hiring a Frontend Software Engineer to build a top-tier collaboration experience and help shape how people work with AI. This is a craft-heavy role: you’ll partner closely with design to prototype, iterate, and polish new interaction models, then turn them into reliable, high-performance product experiences. You’ll help define what great looks like for collaboration between people and agents: how shared context is represented, how contributions and changes are made understandable, and how users stay oriented and in control as work moves between teammates and AI. What You’ll Do - Build and ship polished, high-performance UI for Space and its collaborative workflows. - Partner tightly with design to turn prototypes into production-quality experiences, from layout and typography to motion and interaction details. - Develop intuitive interfaces for creating and editing shared content, organizing project context, and reviewing contributions from teammates and AI as work evolves. - Own frontend architecture decisions across component systems, state management, navigation, and rendering performance. - Improve quality and reliability through testing, instrumentation, accessibility, and thoughtful UX for loading, errors, and concurrent changes. - Collaborate with research, platform, and backend partners to bring model capabilities into cohesive creation, editing, and collaboration experiences. You Might Thrive Here If You - Have strong experience with modern frontend stacks such as React and TypeScript, and a high bar for UI craft. - Love design engineering: sweating the details while keeping velocity. - Have built rich, interactive product experiences and care deeply about performance, responsiveness, and usability. - Enjoy exploring ambiguous problems and iterating rapidly with design and product. - Think in end-to-end workflows and can make complex interactions feel clear and intuitive. - Have experience with collaborative applications, rich-text editors, real-time interfaces, or AI-powered products (nice-to-have). About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

Wireless Regulatory Engineer – SAR About the Team The Consumer Devices team at OpenAI builds products that bring advanced AI capabilities into thoughtfully designed consumer experiences. We work across hardware, software, design, and research to develop reliable products from early exploration through production. About the Role We’re looking for a Wireless Regulatory Engineer to support RF exposure compliance for consumer hardware. You’ll work closely with RF, antenna, hardware, software, and regulatory teams throughout the product development lifecycle, helping ensure products meet applicable requirements while maintaining a high bar for performance and user experience. This role is based in Mountain View, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop and execute RF exposure test and validation strategies for consumer wireless products. - Partner with engineering teams to evaluate product designs and identify potential compliance risks throughout development. - Perform and analyze RF exposure measurements and communicate findings clearly to cross-functional teams. - Support product development from early prototypes through validation, certification, and production. - Coordinate testing with external laboratories and review results and supporting documentation. - Translate applicable regulatory requirements into practical engineering guidance. - Partner with RF and antenna teams to balance regulatory requirements with product performance. - Develop tools and workflows that improve testing efficiency, consistency, and data analysis. - Investigate issues, identify root causes, and work with engineering teams to develop effective solutions. - Support global regulatory certification activities for wireless consumer products. You might thrive in this role if you: - Have a Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, RF Engineering, or a related technical field. - Bring deep experience with SAR, RF exposure, or wireless regulatory testing. - Have a strong understanding of RF fundamentals, measurement techniques, and wireless systems. - Have experience translating regulatory requirements into engineering and product decisions. - Are comfortable performing hands-on testing, analyzing complex measurement data, and troubleshooting hardware systems. - Have experience working with external test laboratories and supporting product certification. - Collaborate effectively across RF, antenna, hardware, software, manufacturing, and operations teams. - Are comfortable working in fast-moving, ambiguous product development environments. Minimum Qualifications - Experience in SAR, RF exposure, wireless regulatory engineering, or a closely related field. - Experience supporting consumer hardware from prototype through mass production. - Experience with wireless products incorporating multiple radios and connectivity technologies. Preferred Qualifications - Experience developing test automation or data-analysis tools. - Experience supporting regulatory approvals across multiple global markets. - Experience working on products that integrate hardware, firmware, and software. About OpenAI OpenAI 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. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer for a senior individual-contributor role leading printed circuit board assembly (PCBA) test fixtures and infrastructure for advanced robotic systems. You will independently turn evolving requirements into working fixtures, make technical tradeoffs, and own delivery from concept and detailed design through fabrication, validation, deployment, and reliable operation. This role combines development-lab work with deployment at contract manufacturers. You will build precision mechanical systems for board programming, functional test, and characterization, including board nests, probe plates, connector interfaces, alignment features, clamps, enclosures, and thermal interfaces. You will partner with electrical, firmware, software, manufacturing, and reliability teams to make fixtures repeatable, protective of delicate assemblies, and maintainable as board designs evolve. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. Travel to contract-manufacturer sites is part of the role, with timing based on build and deployment needs. In this role, you will: - Own the mechanical architecture of PCBA test stations, including frames, board nests, datum schemes, access, guarding, ergonomics, and serviceability. - Design probe and bed-of-nails fixtures, connector-mating mechanisms, board supports, clamps, and interchangeable tooling for programming, functional test, and characterization. - Use first-principles analysis and simulation to assess stiffness, probe and insertion forces, board deflection, tolerance stacks, thermal growth, and fixture life; validate key predictions on hardware. - Develop locating and compliance features that accommodate board and assembly variation, protect components and solder joints, and preserve contact repeatability across loading cycles and board revisions. - Partner with electrical engineers on test-point access, probe selection, connector engagement, ESD provisions, cable routing, cooling, and interlocks; define motion and sequencing constraints with software and controls partners. - Build, assemble, instrument, and debug fixtures in the lab. Establish acceptance checks for alignment, force, board strain where needed, contact repeatability, and cycle life; separate fixture problems from board failures. - Design safe loading, pinch-point protection, hard stops, and operator access for manual or actuated fixtures. Make wear components easy to inspect, clean, and replace. - Manage fabrication partners and component vendors. Release CAD, drawings, bills of materials, tolerance analyses, assembly instructions, inspection plans, and maintenance procedures. - Own fixture deployment and acceptance at contract manufacturers, including assembly and alignment checks, correlation with lab fixtures, operator training, and troubleshooting. Support replication, board-revision changes, and maintenance through released documentation. You might thrive in this role if you: - Have strong mechanical intuition for precision interfaces, load paths, compliance, tolerances, and the behavior of delicate electronic assemblies. - Move readily between analysis, CAD, vendor collaboration, and hands-on assembly and debugging. - Care about repeatable contact, controlled forces, operator usability, and equipment that others can maintain. - Take ownership from concept through reliable daily operation, adapting fixtures to evolving boards and communicating clearly across electrical, software, manufacturing, and operations teams. Required qualifications - Demonstrated ability to independently deliver significant precision-fixture or equipment projects from ambiguous requirements through detailed design, fabrication, validation, and sustained use. - Strong 3D CAD and released-drawing capability, including complete fabrication and assembly packages, bills of materials, and revision control. - Strong fundamentals in GD&T, tolerance analysis, locating schemes, stiffness, compliance, contact forces, and load paths. - Hands-on ability to work with fabrication partners, assemble and measure fixtures, diagnose failures, and iterate hardware in a lab or manufacturing environment. - Ability to define and execute fixture acceptance checks for alignment, force, repeatability, wear, and safe operation, using evidence to distinguish fixture problems from product variation. - Ability to communicate interfaces and tradeoffs across electrical, software, manufacturing, and operations teams and support deployment and troubleshooting at contract manufacturers. Preferred qualifications - Degree in Mechanical Engineering, Mechatronics, Robotics, or a related field, or equivalent practical experience. - Prior PCBA test-fixture experience with board nests, probe or bed-of-nails fixtures, connector mating, and protection of delicate electronic assemblies. - Experience with ESD-aware tooling, thermal interfaces, actuated fixtures, interlocks, or structural and thermal simulation. - Experience with NX, SolidWorks, Creo, or equivalent tools; robotics hardware; or fixture replication and new-product builds at contract manufacturers. What success looks like - Deliver a reusable PCBA fixture that meets agreed alignment, contact, board-support, and loading requirements, with demonstrated repeatability and protection of the assembly under test. - Validate fixture wear and cycle life, identify sources of intermittent contact or board loading, and improve contact-related failures, changeover time, and serviceability against agreed targets. - Deploy and accept the fixture at a contract manufacturer with released CAD, drawings, inspection checks, assembly instructions, spare-parts information, and maintenance procedures that enable others to reproduce and sustain it. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Deployment Engineer at OpenAI, you will deliver the audiovisual systems for new offices, expansions, and refresh projects. You will turn approved designs into installed, configured, and tested systems, coordinate integrators and site dependencies, and carry defects through verified closeout. Your coordination begins at project inception and continues through delivery, commissioning, and acceptance by the receiving support team. You will partner with ITAV Engineering on design decisions, Network Engineering on connectivity, and Workplace and Capital Builds on site readiness and delivery timing. In this role, you will: - Deliver assigned AV build packages for new offices, expansions, and refreshes using approved designs, room standards, and installation requirements. - Coordinate the ITAV workstream for office construction projects from inception through delivery, partnering with Capital Builds, Network Security, and Workplace Design and Construction to align requirements, schedules, dependencies, and handoffs. - Review drawings, equipment lists, site conditions, and integrator plans; identify missing prerequisites and raise design exceptions before installation. - Coordinate equipment staging, installation sequencing, vendor deliverables, and site access with integrators, Workplace, Capital Builds, and ITAV program partners. - Configure conferencing endpoints, Q-SYS controls and audio processing, and AV-over-IP connections to match the approved design. - Prepare accurate device and port records and coordinate IP addressing, DNS, DHCP, VLAN, and connectivity requirements with Network Engineering. - Commission rooms end to end, testing audio, video, control, conferencing, content sharing, monitoring, and recovery against documented acceptance criteria. - Diagnose installation and integration failures, maintain a prioritized punch list, and retest fixes before accepting completed work. - Deliver configuration backups, as-built markups, inventory, test evidence, and support instructions; train receiving technicians and secure operational handoff. - Identify repeatable deployment work and automate it using AI, agentic workflows, and basic scripting. Maintain reusable checks and templates, validate results, and obtain engineering review for changes to shared standards. You might thrive in this role if you have: - Hands-on experience installing, configuring, and commissioning enterprise conference room AV systems from technical designs. - Experience reading AV signal-flow drawings, equipment schedules, and installation plans, and recording accurate as-built changes. - Practical experience configuring conferencing hardware and platforms such as Logitech, Cisco, Google Meet, Zoom, or Microsoft Teams. - Experience configuring and troubleshooting Q-SYS audio and control systems, including signal routing and reusable configuration components. - Working knowledge of AV-over-IP technologies such as Q-LAN, Dante, and NDI and the ability to isolate signal, configuration, and transport faults. - Practical networking knowledge covering IP addressing, VLANs, DNS, DHCP, and multicast, with sound judgment about when to involve Network Engineering. - Experience coordinating integrator work, site prerequisites, equipment readiness, defects, and commissioning milestones within an assigned project. - Experience working cross-functionally with Workplace Design and Construction partners to deliver new office construction projects. - Ability to verify the complete meeting experience, document technical acceptance, and prepare usable configuration records and support handoffs. - Clear communication and demonstrated ability to build, test, and maintain AI and agentic workflows using scripting or configuration tools to automate repeatable deployment work. - Experience contributing reusable Q-SYS components or shared deployment tooling is a plus. - Experience delivering office AV across multiple locations or working with room scheduling and signage endpoints is a plus. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English , and the interview process will include conversations in both languages. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team Enterprise Security protects the systems, identities, devices, and services that enable OpenAI's employees to work securely and effectively. We partner across IT and Security to understand risk, build practical defenses, and support a rapidly evolving technical environment. About the Role We are looking for an Enterprise Security Engineer with a focus on vulnerability management, novel vulnerabilities, and zero-day response. You will investigate vulnerabilities and security weaknesses across networks, endpoints, and SaaS, prioritize them in the context of real exposure, and drive remediation through verified outcomes. You will also build security capabilities and automation, use AI agents to solve practical problems, and help shape how enterprise security operates as agents become a larger part of everyday work. This role is open to candidates in San Francisco, CA, and to remote candidates in the United States. In this role, you will: - Discover, investigate, and prioritize vulnerabilities and misconfigurations across enterprise systems, including novel vulnerabilities and zero-days with incomplete information and no established playbook. - Translate technical findings into clear attack paths, business impact, and actionable remediation. - Develop and validate emergency mitigations when patches are unavailable, coordinate with system owners, vendors, and incident responders, and drive durable fixes through verified closure. - Improve asset visibility, ownership, vulnerability data quality, and reporting. - Build and operate security tools and integrations using code, APIs, automation, and AI agents. - Design controls for agent access, execution, and accountability. - Contribute across endpoint, network, identity, and SaaS security, and support incident investigations when needed. You might thrive in this role if you: - Have independently investigated novel or emerging vulnerabilities and driven enterprise remediation from uncertain initial reports through mitigation and verified closure. - Bring technical depth in a relevant security domain and working knowledge across networks, endpoints, and SaaS. - Can understand and improve code and safely integrate APIs and security systems. - Have solved substantive problems using AI agents and can explain how you evaluated and corrected their work. - Think clearly about security tradeoffs, ambiguous evidence, and the changing risks of agentic systems. - Collaborate effectively, take ownership, and communicate technical risk to varied audiences. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI’s People team helps us hire, support, and retain the people who will safely build and deploy artificial intelligence that benefits humanity. The People Technology team brings together our enterprise people systems and the engineers building new internal products and AI-powered tools. We work across the People organization to improve the employee experience, simplify operations, and build technology that supports OpenAI’s global growth. About the Role We’re looking for a People Technology Analyst with deep expertise in Workday Absence, Time Tracking, and Benefits. You’ll independently own configuration, ongoing support, and improvements across these areas, including benefits for our US and international employees, from day one. You’ll work closely with Benefits, People Operations, Payroll, Finance, and Engineering to translate complex requirements into reliable systems and straightforward employee experiences. You should be comfortable configuring Workday yourself, tracing issues across modules and integrations, and owning improvements from the first conversation through launch and ongoing support. As part of our combined People Technology team, you’ll also help identify where automation, AI, and custom tools can improve how we work. You’ll bring the domain expertise needed to make those solutions useful and dependable. In this role, you will: - Own Workday configuration and improvements across Absence, Time Tracking, and Benefits, including the connections between leave, time worked, and benefits eligibility. - Design and maintain absence plans, accruals, eligibility rules, leave processes, time entry rules, calculations, validations, and approvals for a growing global workforce. - Partner with the Payroll systems owner to ensure absence, time tracking, and benefits data flows accurately into payroll. Investigate source data issues and test downstream impacts of changes in your areas. - Independently own US and international benefits configuration, including benefit plans, eligibility rules, enrollment events, life events, coverage levels, and rates. - Lead open enrollment systems readiness, including configuration, testing, launch, and support. Partner with technical teams and benefits vendors to maintain and troubleshoot integrations. - Lead Absence, Time Tracking, and Benefits systems work for new countries and entities, policy changes, and evolving employee needs. Partner with functional owners to translate local requirements into configuration. - Own projects from discovery and prioritization through configuration, testing, release, documentation, and adoption. Stay accountable for how the solution performs after launch. - Partner with engineers to improve integrations and build automation or AI-assisted workflows that reduce manual work and make employee support easier. - Maintain system security, data quality, reporting, and change controls. Resolve production issues and address their underlying causes. - Create clear documentation and training that helps employees, managers, and People teams use our systems effectively. You might thrive in this role if you have: - Deep, hands-on Workday expertise across Absence and Time Tracking , with experience designing, configuring, testing, and supporting connected workflows across both. - Demonstrated experience independently owning Workday Benefits configuration for US and international programs , including open enrollment, eligibility, life events, and connections to benefits vendors. - An understanding of how time, absence, and benefits data flows into payroll and other downstream systems, with the ability to test changes and troubleshoot issues with the relevant system owners. - Experience translating complex policies and business requirements into maintainable system designs, including country-specific configurations. - Strong Workday technical skills, including business processes, calculated fields, reporting, security, and data loads, along with the ability to troubleshoot integrations with technical partners. - Ownership of systems through implementation and ongoing operations, with a record of improving reliability and the experience of the people using them. - Good product judgment. You ask questions, understand the underlying problem, prioritize thoughtfully, and evaluate whether a change made things better. - Clear communication and the ability to work across People, Payroll, Benefits, Finance, and Engineering. - Comfort working through ambiguity, balancing urgent operational needs with longer-term improvements, and following through on details. Preferred Qualifications - Global Absence, Time Tracking, or Benefits implementations and new country or entity launches. - Collaboration with software engineers on internal products, integrations, or workflow automation. - Practical use of AI to improve systems work, documentation, testing, or employee support. - Relevant Workday certifications or Workday Pro credentials. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team The Preparedness Engineering team is responsible for building and operating safeguards for frontier model risks, to safely enable advanced capabilities while detecting and limiting harm. About the Role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead a team of software engineers building detection + mitigation systems for frontier model harms. - Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. - Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. - Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. - Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. - Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. - Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: - Experience building systems in adversarial, fast-evolving environments - Thrive in high context environments - Are comfortable with ambiguity and novelty - Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. - Significant experience leading engineering teams and delivering production systems end-to-end. - Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability. - Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale. - Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI models including GPT-Rosalind, our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the role We’re looking for an Engineering Manager to lead the team building Rosalind Workbench and its supporting infrastructure. You’ll hire and develop engineers, set technical direction, and turn an ambitious product roadmap into focused, reliable releases. This is a hands-on leadership role. You should be comfortable reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions. You’ll work closely with product, design, research, Codex engineering, and customer-facing teams to bring new scientific capabilities into everyday use. In this role, you will - Build and lead the engineering team. Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work. - Drive technical planning and delivery. Translate scientific and customer needs into scoped milestones. Make explicit tradeoffs, resolve dependencies, and keep a small team focused as the product and research agenda evolve. - Shape the Workbench architecture. Guide development across scientific interfaces, agent and tool orchestration, local and remote compute, durable execution, and persistent project state. Build shared components that support new scientific workflows. - Make scientific work inspectable and reproducible. Preserve the inputs, versions, results, and decisions behind an analysis. Ensure scientists can move between conversations, viewers, and follow-up investigations without losing context or control. - Own engineering quality in production. Establish testing, release practices, observability, and an effective on-call process. Improve workflow reliability, latency, and cost, and lead resolution of problems that prevent scientists from completing their work. - Coordinate across teams and partners. Align with Codex on shared platform capabilities and with customer-facing engineers on deployment needs. Lead technical decisions about building or integrating scientific tools, specialist models, data sources, and experimental service providers. - Turn customer learning into reusable improvements. Work directly with scientists and design partners to understand their workflows. Address enterprise requirements such as private compute, credentials, networking, permissions, and data handling, with clear ownership for common product improvements and customer-specific integrations. - Connect product engineering with research. Help turn capabilities proven in internal research into supported product features. Build instrumentation and feedback pipelines that measure successful workflows and repeat use, and support evaluation and model improvement under explicit consent and data-use requirements. - Build safety and trust into the product. Partner with security, privacy, and safety teams to implement appropriate access controls, review points, auditability, and retention policies throughout scientific workflows. You might thrive in this role if you - Have experience managing engineering teams that ship and operate complex software products. - Bring strong software engineering fundamentals and the technical judgment to work across user-facing applications, backend services, data systems, and compute infrastructure. - Have helped turn early prototypes or research capabilities into reliable products used by external customers. - Can create clarity in ambiguous situations, communicate technical decisions plainly, and coordinate teams with different priorities and reporting structures. - Care deeply about product usability and can translate expert workflows into software that users can understand, inspect, and trust. - Build teams where engineers take ownership, learn quickly, and maintain high standards while shipping. - Are motivated by scientific discovery and willing to learn closely from scientists and domain experts. Particularly relevant experience - Scientific software, computational biology, bioinformatics, chemistry, or laboratory workflows. - AI agents, model inference, tool integrations, or evaluation infrastructure. - Workflow orchestration, long-running jobs, reproducible computation, or artifact versioning. - Enterprise software deployed with private data, customer-managed infrastructure, and organizational access controls. - Developer platforms that let users build, validate, and share reusable tools or workflows. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About the Team OpenAI's Compute organization builds and operates the infrastructure that powers frontier AI training and inference. Our data center engineering teams develop the technical standards and infrastructure required to deploy compute at unprecedented scale across both self-built and partner-operated environments. We work across civil, structural, mechanical, electrical, construction, and infrastructure delivery to develop data center designs that are reliable, scalable, and optimized for speed. About the Role We are seeking a Data Center Design Manager to coordinate the design and delivery of infrastructure for large-scale AI deployments. You will bring engineering disciplines and external design partners together to translate infrastructure requirements into coordinated, buildable design packages. You will manage design milestones, resolve cross-discipline interfaces, and keep technical decisions aligned with project requirements. Working with engineering, construction, commissioning, operations, and hardware teams, you will help preserve design intent from early planning through construction and turnover. The focus is design execution, technical coordination, and clear ownership of design decisions. Key Responsibilities - Manage design scope, deliverables, milestones, and dependencies from concept development through detailed design and construction support. - Coordinate civil, structural, architectural, mechanical, electrical, controls, and physical network interfaces across data center buildings and campuses. - Translate owner and hardware requirements into coordinated design criteria, working with discipline leads to resolve gaps and competing requirements. - Lead multidisciplinary design reviews; track comments, decisions, technical risks, and actions through resolution before design release. - Evaluate design changes with engineering and delivery partners, making impacts on reliability, safety, cost, schedule, and maintainability clear. - Coordinate external architects, engineering consultants, developers, and equipment suppliers to maintain design quality and meet agreed deliverables. - Partner with construction and commissioning teams on constructability, sequencing, RFIs, submittals, field issues, and design changes. - Maintain design documentation and handoff requirements, and incorporate field and operational lessons into reusable standards and reference designs. Qualifications - Bachelor's degree in engineering, architecture, or a related discipline, or equivalent practical experience. - Experience managing multidisciplinary design for data centers, mission-critical facilities, or comparable complex infrastructure. - Technical understanding of data center infrastructure and the interfaces among power, cooling, controls, structures, and physical networks. - Experience taking coordinated design packages from early planning through detailed design and construction support. - Experience coordinating external design consultants, engineering specialists, and construction partners. - Ability to read technical drawings and specifications, identify interface gaps, and work with discipline experts to resolve them. - Strong written and verbal communication, disciplined issue tracking, and sound judgment when balancing technical requirements with delivery constraints. Preferred Skills - Experience with hyperscale data centers, high-density AI or HPC infrastructure, or other rapidly evolving mission-critical environments. - Familiarity with liquid cooling, high-density power distribution, and the integration of changing compute hardware requirements into facility designs. - Experience managing design reviews, quality checks, and technical change control across concurrent projects. - Experience with modular or prefabricated infrastructure and design approaches that improve constructability and deployment speed. - Familiarity with BIM, model coordination, clash detection, and engineering document-control tools. - Experience supporting commissioning readiness, as-built documentation, and handoff to operations. - Experience adapting reference designs and engineering standards to site-specific constraints across a portfolio. - Professional engineering or architecture licensure, or relevant design and project management credentials. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology. This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation. You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity transition into active enterprise sales cycles. In this role, you will: - Own outbound prospecting and customer engagement through Stage 2 qualification - Drive customer outreach and education during the M1 phase of the sales process - Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology - Lead discovery conversations to identify and qualify high-potential enterprise opportunities - Develop key narratives, content, and research through Stage 2 qualification - Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy - Partner closely with Account Executives to transition qualified opportunities into active deal cycles - Develop a strong understanding of enterprise AI deployment patterns and customer use cases - Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools - Operate effectively within a verticalized sales organization across industries including Consumer, Financial and Professional Services, and Healthcare & Life Sciences (HCLS) - Thrive in a fast-moving environment while balancing customer education, outbound activity, and pipeline quality Ideally, You Will Have: - 1-2 years of experience as an account executive OR 4+ years of experience in outbound sales, business development, SDR, BDR, or closing roles - Experience selling SaaS, infrastructure, data, or technical products preferred - Demonstrated ability to generate qualified pipeline and exceed activity or revenue targets - Strong consultative communication and discovery skills - Ability to educate customers on complex technical concepts and workflows - Strong intellectual curiosity and willingness to develop expertise in AI fundamentals and enterprise AI workflows - Experience working in fast-paced, high-growth environments - Excellent writing and verbal communication skills - Strong sales process and systems skills (Salesforce, Outreach, Slack, Clari preferred) - Demonstrated ability to collaborate effectively with cross-functional teams and sales leadership - Strong organizational skills, attention to detail, and ability to manage multiple opportunities simultaneously - Technical curiosity or familiarity with AI, machine learning, or data infrastructure highly valued Sales Commission: This role is eligible to earn commissions. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $100,800 - $126,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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 Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever. This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people. Responsibilities - Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed - Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision - Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth - Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design - Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka, grounded in clear models of throughput, cost, and operational burden - Partner closely across Finance, Product, Research, and Engineering to ensure data systems directly support business-critical decisions and company growth - Drive hiring for the team — sourcing, evaluating, and closing senior data infrastructure engineers who thrive in high-growth, high-trust environments - Establish data quality standards, freshness and delivery SLAs, and operational processes that guide engineers and users through our high-change environment - Ensure sound infrastructure investment decisions with clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs - Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack You may be a good fit if you - Have 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams - Are a people-first leader who gives direct feedback, grows engineers' careers, and builds trust with technical and non-technical partners alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right - Bring deep, hands-on expertise in both batch and streaming data infrastructure, from warehousing, pipelines, and orchestration to event streaming and change data capture, including the fundamentals of distributed log systems such as partitioning, delivery guarantees, and backpressure - Have owned systems with significant business or financial impact, and shipped at speed while improving reliability, scalability, security, and cost - Excel at hiring — you've built teams from small to large, and have sharp instincts for identifying exceptional talent Strong candidates may also have experience with - Warehouse and batch technologies such as BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow - Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale - Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements - Data infrastructure at AI or ML-intensive companies: you've served customer teams that build pipelines for financial/billing data, model training, evaluation, or safety workflows - Building and operating observability or monitoring for data systems at scale - Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role LangChain is looking for a GTM Enablement Program Manager to help keep our growing go-to-market organization informed, enabled, and ready to execute as our products and company evolve. We operate in one of the fastest-moving areas of technology. Our products evolve quickly, new capabilities launch frequently, and the knowledge our GTM teams rely on is constantly changing. As we scale, we need a strong operating system that ensures sellers understand what we're building, why it matters, how to talk about it, and where to find the information they need. This role will own three critical areas of our enablement engine: Product Enablement, GTM Knowledge & Content, and Enablement Communications. You'll partner closely with Product, Engineering, Product Marketing, Sales, and Revenue Operations to turn product changes and company knowledge into scalable training, resources, communications, and systems for GTM. Working with cross funtional subject matter experts, yo ur job is to turn messaging, trainings, and artifacts into field readiness—making sure GTM can learn it, find it, understand it, and use it. What You'll Do Own Product Enablement - Own the product enablement engine. Stay closely connected to Product, Engineering, and Product Marketing to understand what's changing, determine the impact to GTM, and partner with these SMEs to build practical field enablement. - Own GTM readiness for product launches and major changes. Build the enablement plan from initial intake through launch, including training, communications, resource publication, reinforcement, and ongoing maintenance. - Build and maintain product training. Create and continuously improve product curriculum in our LMS and Content Hub so sellers have a clear learning path across our platform, products, use cases, positioning, and value. - Run live product enablement. Determine when asynchronous learning isn't enough, coordinate the right SMEs, and facilitate live sessions, workshops, demos, and deeper product training. - Measure readiness and close gaps. Use feedback, participation, knowledge checks, field questions, and other signals to understand where GTM needs additional reinforcement. Own GTM Knowledge & Content - Own the GTM knowledge system. Make it easy for sellers to quickly find accurate, relevant, and current information across our Content Hub, LMS, and other GTM systems. - Build scalable information architecture and governance. Establish clear taxonomy, templates, ownership, review cadences, freshness standards, and archival processes that keep GTM knowledge organized and current. - Manage the content lifecycle. Ensure training, product resources, competitive guidance, FAQs, recordings, and other enablement materials stay current as the business changes—and remove or archive information that is no longer relevant. - Operationalize canonical GTM content. Partner with Product Marketing and other subject matter experts to ensure approved messaging, competitive guidance, objection handling, and other core GTM knowledge is consistently structured, maintained, and accessible. - Build for humans and AI. Structure GTM knowledge so both sellers and AI-powered tools can reliably retrieve and use accurate context. Explore ways AI can improve content discovery, maintenance, gap detection, and enablement workflows. Own Enablement Communications & Cadence - Own the GTM enablement communications engine. Manage Weekly Trace and other recurring enablement communications, consolidating product, program, and company updates into clear guidance for the field: What changed? Why does it matter? Where can I learn more? What do I need to do? - Run our recurring enablement cadence. Own the operational execution behind weekly enablement, including the calendar, SME coordination, materials, recordings, recaps, and follow-through. - Create signal from noise. Build predictable ways for GTM to stay current without requiring sellers to monitor dozens of Slack channels, documents, and product updates. - Improve the enablement operating system. Identify breakdowns in how information moves from Product, Engineering, Product Marketing, and other teams into GTM—and build scalable systems rather than continually working around them. What We're Looking For - 4+ years of experience in GTM enablement, product enablement, sales enablement, enablement operations, or a related role in a B2B technology company. - Experience owning product enablement programs, including product launches, training, ongoing curriculum, and field communications. - Experience building or managing product training for Sales or broader GTM audiences. - Strong technical curiosity. You don't need to be an engineer, but you should want to understand technical products deeply enough to explain them clearly and accurately. - Ability to translate complex product information into practical seller guidance: what it is, why it matters, who it's for, how to position it, and when to use it. - Experience organizing and maintaining a GTM knowledge or content system—not just creating individual pieces of content. - Strong understanding of content governance, information architecture, taxonomy, and knowledge lifecycle management. - Strong written communication skills and the ability to turn a large volume of information into clear, concise, actionable guidance. - Strong program management skills. You can manage multiple workstreams, SMEs, launches, deadlines, and recurring programs without losing the details. - High ownership and follow-through. You don't wait for someone to tell you that a launch isn't ready, information is outdated, or a process is broken—you proactively drive it to resolution. - A builder mentality. You're comfortable starting with an imperfect system, creating a V1, learning from users, and continuously improving it. - Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Revenue Operations. - AI fluency and curiosity about how structured knowledge can power agents, search, content generation, and internal GTM workflows. - Experience with knowledge-management platforms such as Notion and learning-management systems such as WorkRamp is a plus. - Familiarity with developer tools, AI/ML infrastructure, LLM applications, or agentic AI is a plus. Compensation: $150,000-180,000 base salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role We're looking for a strategic and hands-on GTM Recruiting team member [Contract to hire] to join our growing People team and help fuel our next phase of growth. In this role, you'll own full-cycle recruiting for Go-To-Market functions — including Sales, Marketing and Partnerships — partnering closely with GTM leaders to build world-class teams that can take Fireworks' platform to market. This isn't just a recruiting role, it's a chance to shape how an AI-native company hires. We're looking for someone who is genuinely excited about the AI industry, eager to experiment with AI-powered recruiting tools and workflows, and ready to help define what modern, intelligent talent acquisition looks like. If you love being at the forefront of both AI and hiring, this role was built for you. Key Responsibilities - Own full-cycle GTM recruitment across Sales, Marketing, Partnerships, Solutions Engineering, and Customer Success, with a focus on quality, speed, and candidate experience. - Partner with GTM hiring managers and executives to understand business needs, calibrate on candidate profiles, and develop targeted hiring strategies. Build and maintain talent pipelines and market maps for current and future needs. - Proactively source and engage high-caliber GTM talent through direct outreach, networking, referrals, and AI-powered sourcing platforms. - Collaborate with HRBPs, Compensation, and other People functions to align on role design, comp benchmarking, and market intelligence to inform hiring plans. - Champion AI-native recruiting practices, from sourcing automation and outreach personalization to pipeline analytics, while optimizing recruiting operations and tooling for a scalable, inclusive process. Minimum Qualifications - 2+ years of hands-on recruiting experience, ideally in fast-paced, high-growth environments. - Proven track record recruiting for GTM roles across Sales, Marketing and Partnerships. - Demonstrated ability to partner with founders, hiring managers, and senior GTM leaders to shape and influence hiring strategy. - Strong sourcing and candidate engagement skills, with a knack for identifying and activating top GTM talent. - Ability to work with urgency while maintaining high quality standards and a thoughtful candidate experience. Preferred Qualifications - Experience scaling GTM teams at a startup or hypergrowth company, ideally in AI, infrastructure, or developer tools. - Familiarity with compensation structures and equity benchmarking in early-stage startups. - Hands-on experience with AI recruiting tools, whether that's AI-assisted sourcing, automated outreach, or workflow automation, and genuine enthusiasm to explore what's next. - Experience with Talent Operations to implement and optimize recruiting tools, systems, and workflows. Who You Are (Beyond the Resume) You're passionate about the AI industry. Not just as a recruiter operating in it, but as someone who follows it, thinks about it, and is excited to be part of building it. You see AI as a tool that makes you a better recruiter, not a threat to the craft. You're curious, experimental, and energized by figuring out how to do things better and faster. You bring that same energy to finding and closing exceptional GTM talent. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the role Join Mistral AI’s Defense team to build software for defense institutions and industry. We are looking for an experienced software engineer with strong engineering fundamentals and a background in data engineering or transactional, analytical or distributed systems. You will help shape the architecture, write production code and own substantial software components, from design through deployment and operation. This role offers the scope and autonomy of a senior technical individual contributor in a small team. It is particularly suited to engineers operating at Senior or Staff level in demanding product engineering environments who want broad ownership and to stay deeply involved in implementation. What you will do - Design and build services for data ingestion, transformation, storage, querying and operational workflows. - Develop shared data models, APIs and SDKs that help engineers build applications on a consistent foundation. - Make authorization a core part of the architecture: define and enforce which users, applications and agents can access data or perform actions, with clear audit trails. - Solve problems involving data consistency, schema evolution, concurrency, performance and failure recovery across services and data systems. - Turn needs from our applied engineers and defense users into reusable software capabilities, making pragmatic choices about what to build and how to evolve them. - Own delivery end to end, including implementation, testing, observability, debugging and maintainability in demanding deployment environments. - Use AI coding tools and coding agents extensively to accelerate implementation, testing, refactoring and debugging. Help the team improve these workflows while maintaining a high engineering standard. What we are looking for - Strong practical familiarity with AI coding tools and agentic engineering workflows. You use coding agents regularly, can break complex work into well-scoped tasks, provide effective context, review generated code and validate the result through tests and debugging. You remain accountable for the architecture, correctness, security and maintainability of what you ship. - A strong track record of building and operating production software, with substantial ownership of complex systems. - Experience in data engineering or in building transactional, analytical or distributed systems. You understand the trade-offs behind data models, storage, query execution and service boundaries. - Experience building products where access control, permissions and data governance are central to how the system works. Work on platforms such as Foundry, or systems with comparable requirements, is particularly relevant. - Broad software engineering skills and the ability to move between architecture, implementation and production debugging. You are comfortable working across unfamiliar parts of a codebase. - Strong proficiency in Python or another programming language, solid SQL skills and the ability to become productive quickly in a Python and TypeScript environment. - High autonomy and sound judgment: you can turn an ambiguous problem into a concrete plan, make technical decisions and deliver useful increments with limited supervision. - A collaborative approach to technical leadership through code, design discussions, reviews and mentoring, and a clear motivation to build software for defense institutions and industry. Nice to have - Experience building a data platform or developer product used by other engineering teams. - Experience with fine-grained authorization, multi-tenant architectures, data lineage or auditable operational workflows. - Experience with self-hosted software, restricted networks or other demanding deployment constraints. - Familiarity with LLM applications and their integration with data and tools. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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 Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities - Own growth for how people use Claude in their everyday work, end to end, as your full-time focus - Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product - Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners - Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most - Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric - Deliver exceptionally crafted interactions and set the quality bar for your area - Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption - Mentor other designers, and frame problems clearly enough that others can own them - Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications - A portfolio of shipped product design work that shows product vision and a high level of craft - Experience owning growth for a major product area end to end, including diagnosing problems and setting direction - Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale - Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions - Fluency with product analytics such as funnels, retention, and engagement - Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible - Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications - Experience leading growth strategy across multiple teams or product areas - Experience designing enterprise/B2B SaaS, productivity, or collaboration tools - Experience with product-led growth, from a single user to a team to a company-wide rollout - Experience mentoring designers or shaping a design practice - Comfort querying data yourself with SQL or a similar tool - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Experience defining AI-powered workflows for yourself or your team - A clear point of view on when a product should ask for attention, and when it should stay out of the way - Passion for building safe, beneficial AI that helps people do their best work Representative projects - Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap - Redesign a core part of the product so people return to it more often and get more value each time - Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow - Design the path from one person's daily use to their whole team adopting it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

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 Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities - Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead - Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work - Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing - Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field - Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch - Build and maintain the product certification path that credentials sellers on our core products - Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material - Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications - Experience in a sales or sales enablement role - Experience building AI automations into sales workflows and tooling - Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows - Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers - Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications - Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management - Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling - Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula - Experience owning launch readiness for a technical product across a global field organization - Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it - Experience building programs from 0 to 1 in fast-paced, ambiguous environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: - Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. - Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. - Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. - Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. - Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. - Partner with machine learning engineers to bring new classification capabilities into production. - Work closely with post-training researchers and data scientists to understand their workflows, identify high-impact improvements, and shape the product. You might thrive in this role if you have: - Experience designing, building, and operating software services or distributed systems at scale. - Strong fundamentals in API design, concurrency, caching, performance, and failure recovery. - Ability to investigate complex production problems and make sound architectural tradeoffs. - A track record of owning software from initial design through deployment and ongoing operation. - Strong product judgment and an interest in working directly with technical users. - Comfort with ambiguous problems and broad ownership across multiple parts of a system. - Fluency in using AI agents to move quickly across multiple workstreams in a fast-paced environment. - Interest in machine learning, data science, and statistics; experience with model serving, ML platforms, or inference optimization is a plus. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Audit & Assurance runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Audit & Assurance and helps run that integrated audit program, plan the audits we add next, and assess the frameworks and scope changes we are considering. About the role You'll help run Anthropic's unified audit program: quarterly audits across SOC 2, HIPAA and the ISO 27000 family including ISO 42001, plus the rest of our certifications, working with our audit firms, our GRC Partners, and control owners across the company. You'll plan new audits as we expand to new frameworks, platforms and regions, and run the gap assessments that tell us what each expansion takes before we commit to it. You'll help build the audit operating model and runbook, and drive automation in the program so evidence is collected once and reused across frameworks, requests reach control owners once, and each audit cycle takes less effort than the last. Building with Claude is a normal part of the job, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone with program management experience who writes clearly, stays calm under deadlines, and likes making a busy program simpler. Key responsibilities - Run the audit program as a program: one integrated plan and calendar across audits and expansions, with milestones, dependencies, risks and decisions tracked, and regular status to GRC leadership and stakeholders - Plan and run the quarterly audits, from scoping through report and findings closeout - Run audit readiness ahead of each fieldwork window: control owner prep, evidence pre-checks and walkthrough dry runs - Scope each audit's boundary with Product and Engineering: which products and deployment paths are in scope, and flag when a launch or new platform changes it - Help build the audit operating model and runbook for a unified audit program, and keep both current as the program grows - Drive automation in the program: evidence collected from source systems, request tracking and audit reporting, with evidence and walkthroughs reused across frameworks - Coordinate audits across frameworks and firms so audit windows line up and control owners are asked for the same evidence once, and drive new ways of automated evidence generation and collection with GRC Engineering - Plan new audits and audit expansions as we commit to them - Run framework and scope expansion evaluations and gap assessments, with a recommendation and an effort estimate leadership can act on - Work closely with control owners and GRC Partners: prepare control owners for audits, get evidence delivered and findings closed, and hand findings that need extended remediation to GRC Partners - Manage day-to-day auditor relationships, and report audit status, findings and program metrics to GRC leadership Minimum qualifications - Several years of program management: running multi-workstream programs with a plan, milestones, dependencies, risk tracking and status reporting to leadership - Several years running external security audits (SOC 2 and ISO 27001 at minimum), on the company side or at an audit firm, including seasons with several frameworks at once - Working knowledge of SOC 2, the ISO 27000 family, ISO 42001 and HIPAA, and where their requirements overlap - Experience leading a gap assessment for a new framework or scope change and presenting the result to leadership - Experience building or improving an audit process: calendars, request tracking, runbooks, roles and responsibilities - Enough technical fluency to understand how evidence is produced in cloud environments and to judge whether a system-generated report is complete and accurate, and to build simple automations with Claude - Clear writing and calm coordination under deadline pressure - Ability to get control owners to deliver on time without authority over them Preferred qualifications - Audit firm experience (Big 4 or a SOC 2 or ISO certification body), especially as a senior or manager on technology clients - Experience adding new frameworks such as PCI DSS, ISO 27701 or 27018, CSA STAR, or international schemes (for example IRAP, ISMAP or C5) - Have automated evidence collection or audit reporting, or use Claude or other LLMs day to day to plan, track and report program work - Experience with a GRC platform or building lightweight internal tooling You don't need to - Have done everything on this list. The combination is running a global audit calendar well, plus the instinct to make it simpler each cycle - Hold every certification. CISA, CISSP, ISO 27001 Lead Auditor or similar are welcome but not required - Have prior AI industry experience Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. What you will do - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. About you - Fluent in English with excellent communication skills. - Expert with PyTorch or JAX. - Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM). - Clean, readable, high-performance Python code. - Doesn't need roadmaps. Ships. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. Nice to have - PhD / Master in a relevant field (Robotics, Machine Learning). - Research experience in robotics navigation, perception, manipulation. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on. Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production. This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users. What You Will Do - Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models. - Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents. - Run Orchestral as a production system: keep training and evaluation workloads reliable at scale. - Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling. - Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling. - Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation. - Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform. What We're Looking For - Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability. - Strong Python skills and solid software-design instincts: testing, code review, CI/CD. - A builder mindset: you have constructed systems from the ground up, not just operated polished ones. - A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech. - Self-starter, low-ego and collaborative, with a product mindset toward your users. - Curiosity about ML and RL — this experience is not required, but a desire to learn is. Nice-to-haves - Hands-on experience with Ray or similar distributed-computing frameworks. - Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL. - Experience building or working with agentic workflows and environments. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team We partner with technical and business leaders to turn advances in AI into useful products and sustainable businesses. Strategic Finance supports complex infrastructure programs by evaluating investment choices, commercial opportunities and operating performance. About the Role We are looking for a hands-on finance professional with direct experience supporting silicon design or semiconductor development programs. You will own financial models, deal analysis, forecasts and operating reviews, working with engineering, research and commercial teams to translate technical milestones and investment needs into clear business decisions. You will partner with the finance leader on priorities, resource allocation and significant decisions. In this role, you will: - Own financial models, budgets, forecasts and performance reporting for priority programs, including headcount and investment tracking. - Translate silicon development milestones, cost drivers and infrastructure requirements into investment and pricing recommendations. - Evaluate customer and partner economics, including engineering support, compute, tooling, licensing and contingent commitments. - Build and maintain customer- and program-level revenue, cost of goods sold, gross margin and cash reporting with Engineering, Finance Operations and Accounting. - Support deal negotiations and renewals with scenario analysis, proposed terms and clear financial guardrails. - Present actionable recommendations, coordinate inputs across teams and escalate material risks or unresolved tradeoffs. You might thrive in this role if you have: - Direct finance experience supporting silicon design or semiconductor development, including ownership of development investment, program costs, pricing or commercialization models. - Practical understanding of silicon design and validation milestones, PPA, die and manufacturing economics, and the risks that affect program value. - Demonstrated ownership of complex financial models, forecasts, deal economics and recurring management reporting. - Strong quantitative judgment, hands-on modeling and clear communication with technical and commercial stakeholders. - Curiosity, intellectual honesty and the ability to move ambiguous work forward independently while seeking guidance on consequential decisions. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Evaluation is how we decide which models, checkpoints and recipes ship. As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable, reproducible and fast. You don't need to have designed benchmarks before. You do need to care about what a score means, and about when a difference between two runs is real. What you will do - Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve. - Run evaluations at scale across our GPU clusters, from model serving to scoring. - Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day. - Catch broken or noisy evals before they mislead research decisions. - Support evaluation of agentic, multi-turn and tool-using models. - Work closely with researchers to turn new evaluation needs into robust, shared tooling. What we're looking for - Master's or PhD in Computer Science, or equivalent experience. - 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems. - Excellent Python and strong software-design instincts: testing, code review, CI/CD. - Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar). - Familiarity with LLM inference and evaluation. - A product mindset: researchers are your users. - Self-starter, low-ego, collaborative. Nice to have - Experience building or maintaining evaluation harnesses or benchmarks. - Hands-on experience with inference engines such as vLLM or SGLang. - Experience with agentic or RL environments. - Statistics for experimentation: variance estimation, significance testing. - Open-source contributions to ML tooling. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the team The Applied AI Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the Role As an Applied AI Engineer focused on Codex for startups, you will help developers and founders transform how they build and ship software. You’ll combine hands-on engineering, startup experience, and compelling technical communication to help teams turn the potential of AI coding tools into practical, effective workflows. Presentations and community engagement are central to this role. You will engage developers and founders through technical talks, live demos, workshops, and programmes across the startup ecosystem, alongside targeted work with individual customers. You’ll build reusable tools and resources that extend your impact, and bring insights from developers back to OpenAI’s Product, Research, and Engineering teams. This role is well suited to someone who enjoys both hands-on building and sharing what they learn with others. You should be as excited to lead a room of developers, deliver an engaging presentation, and build relationships across the startup community as you are to explore a technical problem in code—with a focus on sustained adoption and meaningful improvements in how startups work. In this role, you will: - Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software. - Design and lead technical talks, live demos, workshops, hackathons, and repeatable hands-on programmes that turn initial interest into sustained adoption. - Work directly with selected customers to build Codex workflows, integrations, and automations, resolve technical blockers, and evaluate effectiveness and reliability. - Turn successful approaches into reusable code examples, guides, and tools that help more startups succeed with Codex and OpenAI’s broader platform. - Collaborate with account teams, developer experience, and ecosystem partners to reach developers and founders, prioritise opportunities, and drive measurable customer value. - Translate customer experiences and developer feedback into actionable insights for OpenAI’s Product, Research, and Engineering teams. You’ll thrive in this role if you: - Have experience building at, founding, or working closely with early-stage startups, and understand the pace, ambiguity, and practical trade-offs involved. - Bring strong software engineering fundamentals and enjoy building practical AI applications, integrations, and developer tools. - Are an active user of Codex or other AI coding tools, with a thoughtful perspective on how they can improve software development. - Are a compelling communicator who enjoys presenting, delivering live demos, and leading hands-on workshops for developers and founders. - Have a talent for turning complex technical ideas into clear explanations, engaging examples, and reusable resources that help others succeed. - Combine developer empathy with sound technical judgment: you can uncover what a team needs, troubleshoot problems, and help them adopt effective, reliable workflows. - Bring high agency, curiosity, and end-to-end ownership, working independently while collaborating closely with colleagues and ecosystem partners. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.