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About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this role if you: Have strong programming and debugging skills and a track record of turning technical ideas into working software. Experience with reinforcement learning, model evaluations, post-training, or other applied ML research. Experience building tool-using agents, reward functions, or automated evaluation systems. Can form clear hypotheses, design useful experiments, and distinguish meaningful results from noise or evaluation errors. Work independently on ambiguous problems and make practical decisions about what to build or test next. Stay close to the implementation and can explain what you built, what failed, and what you learned. Communicate progress clearly and collaborate well with people across research, software, and hardware. Care about developing safe, beneficial AI. Nice to have: Familiarity with experiment orchestration, distributed training, or research infrastructure. Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation. 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.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Billing Collections team builds the systems that turn invoices into successful, dependable revenue outcomes. The team develops the foundational capabilities that help businesses collect payments across diverse customer relationships, payment methods, and markets, while adapting intelligently when collection does not go as planned. What you'll do As the engineering manager for Billing Collections, you’ll own the operational and technical direction of the platforms that help Stripe users collect revenue reliably. You’ll lead the team that builds flexible, intelligent collection experiences that improve payment success, support customers through changing circumstances, and help businesses reduce unpaid balances and accelerate cash flow. You’ll shape the team as it expands to support increasingly sophisticated business models and global payment needs while working backwards from internal and external customers. Responsibilities Lead a team responsible for the core architecture needed to enable billing collection Own the technical strategy and roadmap for billing collection Drive operational excellence across billing infrastructure systems Hire and develop engineers as the team expands into new scope Partner with stakeholders across organizations to deliver billing solutions Work backwards from internal and external customer needs to define priorities and scope Define and uphold engineering standards across a team owning business-critical billing infrastructure Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 4+ years of engineering management experience, directly managing and growing teams of 5+ engineers focused on building and shipping products at scale 8+ years of full-time software development experience Track record of leading engineering teams responsible for high-traffic, low-latency, and extensible systems Deep user empathy with a history of working backwards from internal and external customer needs Proven ability to drive rigorous decision-making and build strong partnerships across teams Ability to handle ambiguity, creatively solve complex challenges, and execute on competing high-impact priorities Demonstrated focus on system reliability, operational health, and incident response Preferred qualifications Experience building and leading distributed teams across multiple locations and time zones Track record of delivering shared infrastructure across multiple business units Background in billing, metering, or large-scale distributed systems Experience with payment mandates, recurring payment authorization, or related payment infrastructure
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 looking for a Strategic Projects Lead to take on recruiting's most complex, cross-cutting work: the high-stakes decisions and initiatives that span many teams and don't fit neatly into any one group's remit. You'll bring the structure, coordination, and follow-through that help these get made well, and see them through as the company scales. You'll work across every team that touches hiring, and you'll move work forward through partnership, not ownership. The job is influence: bring the right people together, make sure decisions are principled and well-documented, and keep recruiting's approach coherent over time. You'll be the most senior individual contributor for how recruiting operates, and success depends as much as on building trust across senior stakeholders with different priorities as it does on building good systems. This is a high-autonomy role for someone who thrives in complexity and ambiguity. You know recruiting well enough to feel where it breaks, and you're energized by holding several very different problems at once and driving each to a clear resolution. Key responsibilities Take on recruiting's biggest ambiguous bets: define the problem, ship the smallest testable version, and hand each one off as a repeatable program before moving to the next Own the operating rhythm across the teams that support recruiting, so we plan, review, and decide as one function Spot recurring friction and fix the system behind it, not just the case in front of you Own process design when company-wide changes run through recruiting, and drive them to real adoption with the partners who own the build and the comms Be recruiting's DRI for headcount and workforce planning, including hiring pace and readiness for new regions Own the operating standard for interviewing, like scheduling lead time and interviewer load, and lead the cross-team diagnosis when it slips Turn analytics into standards and simple SOPs, and build documentation a new leader could pick up without you in the room Keep the right people informed at the right time without becoming a bottleneck, and stay fluent in our recruiting systems and data so you can call the downstream impact of any decision You'll partner directly with the leads for Recruiting Systems, Analytics, Interview Programs, and other teams. You won't run their teams or build their systems, but you'll know each well enough to make calls that hold up across all of them. Minimum qualifications Have 8-10+ years in program management, business operations, chief of staff, or people/talent roles at a fast-growing company, with increasing scope over time Have been part of a talent team or partnered closely with one, and understand how recruiting operates day to day Think in systems: you see how the pieces connect, anticipate downstream effects, and design fixes that work across team boundaries Have owned several complex workstreams at once and made hard prioritization calls without much guidance Set the strategy and vision for your area rather than executing someone else's plan Create structure and clarity in genuinely ambiguous environments Have put AI to work in real workflows: redesigning process, automating the repetitive layer, and shipping faster Test the smallest version of an idea in the real world before building the big one, and say clearly what you're not doing and why Can lose a decision cleanly: disagree, commit, and execute with full credibility, knowing which calls are reversible and which aren't Have taken a big process or policy change through an organization end to end and made it stick Close the loop, hold the bar, and finish the unglamorous work Preferred qualifications Experience running recruiting or talent operations at global scale Working knowledge of recruiting compliance, like OFCCP, GDPR, and regional employment law, and how it shapes process and systems decisions Experience in deep-tech environments with technical recruiting complexity Experience operating across multiple time zones and jurisdictions 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: $235,000 — $300,000 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 OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience Simplify complexity and make fast, sound decisions under pressure Communicate clearly with engineers, product teams, and customer stakeholders Spot risks early and adjust without slowing down Model calm and judgment when the stakes are high 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.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is investing in building out its Global Product Sales team to actively engage and drive prospects and customers to adopt Stripe Managed Payments. Managed Payments helps businesses to sell their digital products globally, and let Stripe manage global tax, fraud prevention, dispute management, and customer support for transactions. Stripe's Global Product Sales team is at the forefront of driving revenue and growth. As trusted business partners and strategic salespeople, our goal is to help users understand Stripe products and integrate them with ease so they can concentrate on what's most important to them: their business. We are known for our product knowledge, sales expertise, rigorous thinking and user-first approach to problem solving. Within Stripe, Product Sales proudly serve as a critical source of user feedback and market intelligence, with direct influence on Stripe's product roadmap and growth strategy. What you'll do Stripe Managed Payments is Stripe’s Merchant of Record solution, enabling businesses to offload the complexity of global selling to Stripe. We officially announced and launched Managed Payments this year, and are looking for a self-starter who can operate in the ‘build’ phase of products and go to market, capitalising on new opportunities and helping to scale rapidly. Managed Payments is a key strategic driver within Stripe Payments to support our users with global selling and MoR compliance. As an Account Executive for Managed Payments, you will use your sales and deep product expertise to help drive growth in this space to users across North America. You will collaborate with product, engineering, legal, marketing and other GTM teams to develop deep product and industry knowledge and drive complex deals. You will be instrumental in leading in-depth product discussions with existing and prospective customers and building and executing against our go to market strategy. You are an adept sales professional, capable of engaging in business-level and technical conversations at multiple levels of the organization. You are used to building value in competitive situations and enjoy working on products that require deep product understanding, combined with technical knowledge. You're as comfortable working with clients as with internal stakeholders. You're excited to become an expert and to share your knowledge. You're an organized self-starter, an excellent communicator who is analytical and has a track record for improving the processes and organizations around you. Responsibilities Accountable for driving revenue, increasing attach rates and new client acquisition of key users in the Americas, utilizing the MEDDIIC deal qualification and opportunity management Develop relationships with executive stakeholders and lead discussions with existing and prospective customers Deep product and payments expertise to act as a subject matter expert for Managed Payments, Payments and MoR solutioning Deeply understand the sales process and competitors for Stripe in this space and serve as both an internal and customer-facing expert in these product areas Engage with Product and Engineering teams to synthesize and relay customer feedback and our findings to inform Stripe's product roadmap Contribute to the development of go-to-market playbooks alongside product, marketing, sales and technical services stakeholders Work collaboratively and cross-functionally across the organization to help shape Stripe's products and solutions to meet customer needs Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ of customer facing experience at a leading technology or payments company and a track record of top performance Experience building trusted advisor relationships with senior business leaders Proven ability to build strong collaborative working relationships with cross-functional business partners Self-starter capable of operating independently to drive meaningful business results Enthusiastic "roll up your sleeves" mentality Excellent verbal and written communication skills Ability to understand complex technical and product-led requirements and craft solutions across multiple stakeholders Proven experience to lead complex negotiations involving bespoke commercial agreements Thrives in a fast-paced environment and changing requirements True team player - always Humor is very welcomed!
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Private Equity and Advisory Partnerships (PEP) team manages Stripe’s relationships with growth equity, private equity, and advisory firms. The team works with investors and advisors to help portfolio companies use Stripe to grow revenue and improve profitability. What you’ll do You will lead a team of Partnerships Managers and shape the strategy for expanding Stripe product use across private equity-backed companies. You will build relationships with investors, advisors, and portfolio company leaders, then work with Stripe’s sales, product, marketing, and operations teams to identify and develop long-term business opportunities. Responsibilities Lead and develop a team of Partnerships Managers with experience in sales and private equity Set the team’s long-term vision and strategy, manage day-to-day operations, and deliver against key metrics Build and maintain partner-level relationships with private equity firms and their portfolio companies through strategic planning and collaboration Partner with Americas and global go-to-market leadership to communicate the team’s strategy, results, performance metrics, and industry insights Work cross-functionally across sales, marketing, communications, business operations, people operations, finance, and product management to deliver the program’s goals Represent Stripe in the financial sponsor ecosystem, including through relevant industry events and speaking opportunities Advise private equity firms on prospective investment opportunities and payments monetization across their portfolios, and educate financial sponsors on Stripe’s products, roadmap, and vision for financial technology and money movement Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 15+ years of experience in business development, sales, private equity, investment banking, or management consulting, including 5+ years of people management experience 7+ years of experience working with senior executives 5+ years of experience using data and metrics to drive commercial outcomes for a business and its customers or partners Preferred requirements Experience at a technology or payments company Experience creating and implementing a strategic plan for a growing team Strong relationship-building skills and attention to detail, with the ability to cultivate partnerships and oversee programs at scale Ability to manage cross-functional projects and multiple priorities, with strong organizational skills Knowledge of investment terminology and relevant industry performance metrics Financial modeling experience Strong written, verbal, and interpersonal communication skills Comfort working in a fast-paced environment
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 There are close to a billion knowledge workers in the world, and only a small fraction of them have discovered what it feels like to work alongside AI that actually raises their game. Most people who could benefit from an AI collaborator haven't tried one yet, or tried once and didn't see what was possible. Closing that gap isn't a copywriting problem — it's a storytelling and enablement problem at a scale few companies have ever had to solve. That's what this role owns. We're looking for a Senior Product Marketing Manager to own the foundational positioning and story for Claude's core knowledge-work products — Chat, Cowork, and the broader non-coding suite. Everything that helps a knowledge worker understand what's possible, and a buyer decide with confidence, runs through your work: the website, the pitch decks, the battlecards, the persona narratives. You're not just making the case that people should adopt AI — you're equipping the people who decide to buy it and showing the people who use it, at the scale of millions, exactly how to put it to work. This is an individual-contributor role built for someone who wants to do deep, durable craft work on products with enormous, established usage. You'll write the positioning doc, build the battlecards, and ship the persona work yourself, and you'll use Claude and AI-native workflows to keep those foundations self-updating and trusted by every team that depends on them. If you've owned the full product marketing stack for a large, widely-used, fast-evolving product, have building instincts for turning your own PMM workflows into systems rather than one-off documents, and want your writing to be the reason millions of people and the buyers who equip them finally understand what an AI collaborator can do, this role is for you. Key responsibilities Define the story that gets millions of people to change how they work. Own and evolve the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products, so every deck, campaign, and piece of content makes the same compelling case for what's possible. Give sellers the conviction to close. Build and maintain the sales enablement assets — pitch decks, battlecards, objection handling — that turn a good product into deals won, arming GTM to sell with confidence rather than guesswork. Equip buyers to make the call with confidence. Own the proof points, comparisons, and narratives that help economic buyers and champions justify the purchase and adoption decision internally, not just the end users who'll use the product day to day. Make sure the message lands with the right person, in their language. Develop ICP and persona frameworks that translate a broad, varied base of knowledge workers and buyers into insights sharp enough to drive messaging and campaigns that actually resonate. Make our inspiring story come to life. Own the website and product page messaging that's often someone's very first encounter with what Claude can do for their work — the moment that decides whether they lean in or bounce. Turn scattered wins into a playbook others can run. Build libraries of top use cases by product and by function or persona, so the best examples of AI-augmented work aren't one-off stories, they're patterns anyone can copy. Keep every team telling the same story, well. Partner closely with GTM, Marketing, and Partners so they're never working from stale or inconsistent materials. "Claudify" our own foundations. Build AI-native systems, using Claude and beyond-chat workflows like Skills and automations, that keep positioning, messaging, personas, and enablement current and instantly trustworthy — proof, in how you work, of the same transformation you're asking millions of others to make. Contribute to how we present plans, pricing, and analyst relations materials for the core knowledge-work portfolio as they intersect with your positioning and messaging work Minimum qualifications Have proven experience owning positioning and messaging for an established software product used broadly across personas and use cases Have strong writing and storytelling skills, with the ability to adapt tone and complexity across formats — pitch decks, web copy, battlecards, persona docs Have experience building ICP and persona frameworks and translating research into messaging that scales across websites, collateral, campaigns, and content Have experience building sales enablement assets and working directly with sales teams on objection handling and win/loss dynamics Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI — namely Claude — to inform and automate product marketing workflows, and have built foundational systems that inform, update, and share PMM foundations with the stakeholders who depend on them Have experience marketing AI or productivity software to a broad, cross-functional buyer base Preferred qualifications Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Familiarity with plans and pricing presentation and packaging communication Experience as a Senior PMM or PMM Lead at a productivity, collaboration, or knowledge-work software company with ownership of core-product positioning Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed 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: $320,000 — $320,000 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 There are close to a billion knowledge workers in the world, and only a small fraction of them have discovered what it feels like to work alongside AI that actually raises their game. Getting the rest of the way there isn't a single campaign or launch — it's an integrated marketing and growth motion: the right story, reaching the right persona, backed by activation and campaign work that turns a first try into habitual use. That's what this role owns. We're looking for a Product Marketing Lead to own the GTM Strategy and integrated growth motion that makes Claude for Knowledge Work — chat, Cowork, Claude for Office, Tag and more — the default AI collaborator for knowledge workers. You'll define the Marketing & growth strategy by segment for our core knowledge-work products, and coordinate the work streams that acquire and activate both users and accounts and drive their success. This role provides direction, coordination, and fuel across Demand Generation, Growth, Brand, Events, Campaigns, Field Marketing, and Success. This is a GTM-oriented product marketer: deep in messaging and product truth, expressed through narrative content, campaigns, activation programs, and community. You'll build and run programs personally from day one, backed by many internal teams. If you've owned an awareness-to-success marketing motions end to end for a product line, know how to turn product truth into content and campaigns that land with various segments and personas, and want to build the motion that gets millions of knowledge workers to change how they work, this role is for you. Key responsibilities Define the Marketing and growth strategy, segment by segment. Build a marketing plan per priority segment or function, prioritizing where to lead first and what to deliberately not do yet. Set the content direction for Claude for Knowledge Work. Shape flagship narrative content based on the plan and campaign needs, building on the messaging and launch foundations owned by Core PMM. Turn activation into a flywheel inside enterprise accounts. Identify and activate champions, coordinate workshops and webinars, and run lifecycle programs for various personas inside top accounts, inspiring knowledge workers to raise their ambitions and deliver more impact with Claude. Own the flagship acquisition and activation campaigns. Define and run the "Hand off your tasks to Claude" integrated programs, choosing channels and activations that fit the audience. Inform the digital, social, and field motions. Shape the Knowledge Work digital, social, and influencer motion — ops, finance, legal, marketing, and productivity creators — and our social presence in this space. Coordinate without owning. Provide direction, coordination, and fuel across Demand Generation, Growth, Brand, Events, Campaigns, Field Marketing, and Success, so the growth motion moves as one program without duplicating any team's mandate. Build and ship the work yourself. Operate as an individual contributor in year one — write the plans, build the campaigns, and ship the content directly, with room to grow a team as the motion matures. Report on what the motion is actually driving. Track and share progress against awareness and preference, growth (WAUs and enterprise account depth), revenue contribution, and campaign efficiency. Minimum qualifications Have experience creating marketing programs for functional personas, whether users or buyers (e.g., Operations, Finance, Legal, Sales) Excel at cross-functional collaboration, with a track record of driving work through influence across Demand Generation, Growth, Brand, Events, Campaigns, Field Marketing, and Success, without direct authority over any of them Possess strong storytelling and content instincts, with a track record of flagship narrative content such as executive series or customer story programs Demonstrate grit and leadership, with a track record of driving results in ambitious, high-scale, high-velocity environments Are comfortable operating autonomously as an IC in year one, building and shipping plans, campaigns, and content directly rather than through a team Preferred qualifications 10+ years of growth and product marketing and/or demand gen experience for portfolio or product-line scope Experience marketing a productivity, collaboration, or AI-powered enterprise product to knowledge workers, as distinct from developers A background running community, influencer, or creator programs for a B2B audience Experience building unaided awareness and preference for a specific product name or term within a category where the parent brand already has strong general awareness — building a name, not a category, from scratch Experience reading and responding to competitive dynamics in a fast-moving market Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed 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: $400,000 — $400,000 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 OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent. Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement. Design enrichment and verification workflows. Evaluate in-house capabilities, platforms, vendors, APIs, AI, and human review to select effective solutions. Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential. Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation. Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals. Build feedback loops that use outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions. Measure data quality, coverage, targeting accuracy, deliverability, conversion, and incremental value. Establish permissions, suppression, auditability, and provider-performance standards. You Might Thrive in This Role If You Bring substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology. Demonstrate ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes. Apply strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery. Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements. Design practical solutions with marketers and sales teams, grounded in their campaign and customer workflows. Explore data and test ideas with tools such as analytics platforms, SQL, APIs, automation, or AI-assisted prototyping. Production engineering experience is not required. Evaluate build, buy, and integration choices across CRM, marketing automation, customer data platforms, and campaign-execution systems. Lead a small team and build alignment with senior cross-functional partners. Apply sound judgment to privacy, consent, deliverability, data rights, governance, and customer trust. Bring relevant experience in advertising, SMB or self-serve businesses, product-led SaaS, marketplaces, commerce, fintech, enterprise go-to-market, or other multi-segment customer journeys. Preferred Qualifications Experience building prospecting or customer intelligence platforms for advertising, SMB, or self-serve businesses. Track record combining customer and intent data to improve targeting and conversion. Experience deploying enrichment, scoring, and next-best-action models across marketing and sales. Experience integrating data vendors, CRM, marketing automation, and customer data platforms. Hands-on experience using SQL, APIs, automation, or AI to validate growth solutions. Experience building feedback loops and governance practices that improve performance, data quality, and trust. Workplace & Location San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. 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.
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Contribute to team strategy, roadmap, tooling, process, and culture. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering velocity and cost. Innovate, design and implement software solutions that contribute towards improvement in infrastructure resiliency, reliability, efficiency and management at scale. Uphold our high engineering standards and improve our codebase and processes. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, plus 5 years of progressive, post-baccalaureate experience in Software development. Must also have 5 years of experience in each of the following: Developing, maintaining and debugging distributed systems built with open source tools; Building infrastructure as a product centered around users’ needs; Scaling distributed systems; Breaking down large complex systems; Identifying shortcomings and optimization opportunities to make data driven cost performance tradeoffs to influence design decisions; Building and operating infrastructure and tools that empower developers; Working in a development team in AWS, Azure, OCI or GCP; and Programming languages: Ruby, Go, Python, or Java. Salary: $206,086.00 - $285,600.00/yr This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50 % Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA56 #LI-DNI
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience Simplify complexity and make fast, sound decisions under pressure Communicate clearly with engineers, product teams, and customer stakeholders Spot risks early and adjust without slowing down Model calm and judgment when the stakes are high 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 Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience Simplify complexity and make fast, sound decisions under pressure Communicate clearly with engineers, product teams, and customer stakeholders Spot risks early and adjust without slowing down Model calm and judgment when the stakes are high 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.