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About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role The Technical Account Manager (TAM) Leader owns the health, direction, and performance of the Technical Account Management function. Where an individual TAM is the primary technical partner for their own portfolio of accounts, the TAM Leader is accountable for the entire TAM book — every account covered by the team, every partner relationship with a technical dimension, and the people who deliver against them. The TAM Leader is both a player and a coach: they carry direct accountability for coverage decisions, escalation outcomes, and cross-functional alignment, while spending the majority of their time developing the individual TAMs so the team's proactive, relationship-first approach scales without becoming a response channel. Core Responsibilities People Leadership & Team Development The TAM Leader hires, coaches, and grows the TAM team so each member operates as a credible, proactive technical partner to their accounts. This includes: Hiring and onboarding new TAMs, including running them through the TAM Path ramp Running regular 1:1s, setting individual development plans, and giving direct feedback on account plans, QBRs, and escalation handling Building and maintaining repeatable playbooks (upgrade runbooks, optimization playbooks, escalation patterns) so quality doesn't depend on tenure Setting and holding the team to a consistent bar for technical depth, proactivity, and communication Portfolio & Coverage Ownership The TAM Leader owns the coverage model for the entire function — deciding, tracking, and refreshing who is assigned where, and closing gaps as they surface. This includes the two account universes the role is accountable for: Named accounts — the full book maintained in the Draft TAM Accounts doc , currently ~$33.1M ARR across 120 accounts split across the team, capped at 20 accounts per TAM Partner-mapped accounts — every partner with a named Technical Account Manager in the Partner Mappings , spanning Strategic AI, Growth, and Other tiers Running the quarterly review/refresh of assigned accounts, rebalancing books as ARR and strategic relationships shift Resolving open coverage gaps (e.g. regions or account types with no TAM alignment) and deciding when a controlled exception, a new hire, or a change in tier definition is the right fix Approving leadership-discretion assignments and cap exceptions, and making the trim/reassign calls when an account is dropped for capacity Customer Technical Ownership (oversight) The TAM Leader ensures every assigned account — named or partner-mapped — has a clear, accountable technical owner. They spot-check account documentation, architecture understanding, and risk tracking across the book, and step in directly on the most strategic or highest-risk accounts. Onboarding and Adoption (oversight) The TAM Leader ensures the team consistently shortens time to value for new accounts by: Auditing that architecture and deployment validation is happening post-sale, not skipped Coaching TAMs on configuration guidance and best-practice delivery Tracking early success milestones across the portfolio, not just account by account Proactive Technical Guidance (oversight) The TAM Leader ensures environment reviews and risk/optimization surfacing happen on a regular cadence across the whole book, covering scalability, reliability, security, and lifecycle planning — and holds the team accountable when reviews lapse. Issue Management and Escalation The TAM Leader is the escalation layer above the individual TAM — brought in on complex, high-impact, or multi-stakeholder issues rather than replacing the TAM as primary contact. This includes: Coordinating across support, engineering, and success during major incidents Owning execution of the Named Account Escalation SLA sequence when it's triggered Ensuring root cause analysis and preventative action actually close out, not just the immediate fire Isolating TAMs from technical repair work so they can stay focused on the relationship while the right team handles the fix Strategic Technical Planning (oversight) The TAM Leader ensures account plans across the book stay aligned to customer roadmaps, and personally engages on capacity, architecture, or growth planning for the largest or most strategic accounts and partners. Internal Collaboration Engineering and Product The TAM Leader represents the aggregated voice of the customer — patterns across accounts, not just one-off feedback — to engineering and product, and prioritizes which recurring pain points or gaps get pushed for a fix versus handled as one-offs. Support The TAM Leader maintains the operating agreement between TAM and Support (TAMs are not frontline support) and is the point of escalation when that boundary needs adjudicating on a specific account. Sales and Customer Success The TAM Leader partners with Sales and Success leadership on account health and retention at the portfolio level — surfacing which accounts or partners are trending at risk, and where TAM coverage itself needs to change to protect NRR. Partnerships Because the TAM Leader owns the Technical Account Manager assignments inside the Partner Mappings, they work directly with each partner's Account Quarterback, Partner Manager, and Solutions Architect to make sure the technical relationship keeps pace with partner stage (Prospecting through Scaling) and tier (Strategic AI, Growth, Other) — while staying out of commercial terms, which live with the Partner Manager. Success Metrics Common indicators of TAM Leader effectiveness include: Coverage: % of the $33.1M+ named-account book and partner-mapped accounts with an assigned, active TAM Team health: ramp time to productivity for new TAMs, retention of the TAM team itself Customer adoption and usage depth across the book Reduction in critical incidents and time to resolution for escalated issues, portfolio-wide Customer satisfaction and retention (NRR) across named and partner-mapped accounts Consistency: QBR completion rate and account plan quality across the team, not just top performers Tools Used by the TAM Team This section documents the tools and systems used by the Technical Account Management team. It is intended to be kept up to date as tooling evolves. Admin Studio Grafana Hex pgAdmin HubSpot (account ARR, tier, and health data) Notion — Draft TAM Accounts doc and Partner Mappings database Scope of Coverage The TAM Leader is accountable for the full combined book the function covers, not a single portfolio: Named accounts in the Draft TAM Accounts doc — every account already assigned to one of the individual TAMs, plus resolution of open decisions such as the current APAC coverage gap Partner-mapped accounts in the Partner Mappings — ensuring every partner that warrants a technical relationship has a named TAM against it, and that the mapping stays current as partners move through Stage and Tier Account Mapping TAM Standard (Pooled) Spend — For customers at $100K ARR, access to pooled TAM resources for a set (time TBD) hours per month Pooled TAM SKU — Customers of any scale can purchase pooled access to the TAM team (requires Enterprise Support SKU) Leadership Discretion for Customer Needs TAM Premium (Dedicated) Spend — For customers at $250K ARR, access to a dedicated TAM resource for a set (time TBD) hours per month Dedicated TAM SKU — Customers of any scale can purchase an assigned TAM (requires Enterprise Support SKU) Leadership Discretion for Customer Needs The TAM Leader owns tier decisions, the quarterly refresh of this mapping, and any leadership-discretion exceptions. What TAM Leaders Do Not Do To keep the function focused and scaling, the TAM Leader does not: Replace the individual TAM as an account's day-to-day technical relationship owner — accounts scale by layering support on, not by handing off Perform day-to-day operational work for customers Own or negotiate commercial terms for either named accounts or partner deals — that stays with the AE or Partner Manager Act as professional services for custom implementations Manage frontline support case queues Ideal Individual A world-class Technical Account Manager Leader at Supabase has done the individual TAM job well and now wants to multiply it across a team. Technical depth — Same bar as an individual TAM: can go deep on database internals, scalability, security posture, and infrastructure tradeoffs, and can still credibly work a strategic account directly when needed People leadership — Has hired, coached, and grown a technical team before; gives direct, specific feedback and knows how to develop someone from good to great Portfolio-level judgment — Can look across 100+ accounts and a partner book and tell where coverage is thin, where an account should move tiers, and where to spend leadership discretion Escalation command — Comfortable being the senior voice in a high-severity, multi-stakeholder incident, coordinating support, engineering, and success without adding noise Cross-functional influence at altitude — Represents patterns across the whole book to engineering, product, sales, and partnerships leadership — not just one account's feedback Communication clarity — Can brief an executive on portfolio health and coach a TAM through a root cause analysis in the same day Retention and expansion awareness — Understands that TAM Leader performance shows up in aggregate NRR across the book; proactively rebalances coverage toward the accounts and partners most at risk Experience — Background in engineering, SRE, or technical consulting, plus a track record of leading a technical customer-facing team Summary The Technical Account Manager Leader exists to make sure every account and partner relationship the TAM function is accountable for — the full Draft TAM Accounts book and the entire Partner Mappings coverage — has a technical owner, and that the team delivering against it keeps getting better. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
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 The Endpoint team (Client Platform Engineering) manages the laptops and handsets every Anthropic employee works on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and every piece of configuration ships as code through pull requests, CI, staging, and a canary group. Today the mobile side of the fleet is BYOD. This role exists to change that. You will design and implement a corporate-issued mobile device program (managed company phones and managed Apple accounts) in every region Anthropic operates in, and take it from early design to production. The team is deliberately lean and runs with high autonomy. You’ll define what a corporate mobile program looks like at Anthropic and own the platform decisions that get it there. Responsibilities Design the corporate-issued mobile device program: device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles Bring mobile configuration into the team’s config-as-code pipeline so mobile policies are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero-touch enrollment: Apple Business Manager and ADE with managed Apple accounts on iOS, the zero-touch equivalent on Android, so a new phone works the first time without hands-on setup Own policy, compliance, and device lifecycle for the corporate fleet, from issue to wipe Build telemetry on the corporate fleet: which devices are checking in, OS and patch state, drift between reported and actual state Own managed app distribution for mobile, from app approval through update rollout Partner with Corporate Security on device posture, device trust signals, and travel devices for international trips Decide how corporate-issued and BYOD coexist, and own that boundary as the program rolls out You may be a good fit if you Have owned a global or multi-region mobile device program end to end, with 8+ years managing corporate fleets at thousands-of-devices scale Go deep on iOS device management: enrollment flows, Apple Business Manager and ADE, APNs and certificate lifecycle, declarative device management Have worked with Android device management and can hold your own in a mixed fleet Treat device configuration as code and have moved past clicking in consoles Have run the infrastructure under an MDM, not just administered a SaaS console: a self-hosted MDM server, AWS, Terraform, and configuration that ships as code Have built or launched a corporate device program, not just operated one, and can decide how it coexists with BYOD Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Have managed ChromeOS devices alongside a mobile fleet Have run a device program across multiple regions and dealt with the logistics that come with it Have built automated, progressive rollout systems with promotion gated on telemetry Bring proficiency in Swift for building device tooling Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting iOS and Android platform internals (depth on iOS, working knowledge of Android) Modern MDM or UEM platforms (Jamf, Intune, Workspace ONE, or equivalent) Running the infrastructure under an MDM (self-hosted servers, AWS GCP, Terraform) Querying live device state at fleet scale Mobile device lifecycle automation (enrollment, policy, patching, app distribution) GitOps and CI for configuration management Endpoint security fundamentals 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: $285,000 — $325,000 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 Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar without needing external pressure Strong candidates will have: Proficiency across the stack (we use Python, TypeScript, React) Experience building platforms, primitives, or internal tools that others build on top of A track record of shipping products independently—not just contributing to larger efforts 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: $320,000 — $405,000 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 Startups Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 4+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: $222,800 — $290,000 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 Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth. The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles. Responsibilities: Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization Conduct streamlined account health checks and identify early warning signs of churn risk Partner with customers to understand their business models and product, advising them through their AI transformation, and gathering feedback to inform product development Collaborate with Applied AI and other cross-functional teams to support customer technical needs You may be a good fit if you have: 3-5 years of experience in sales, account management, customer success, or related roles Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously Strong communication skills with ability to build rapport quickly across various customer personas Analytical mindset with comfort using data to prioritize accounts and identify trends Enthusiasm for emerging technologies and genuine interest in AI A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments Strong candidates may have: Experience with consumption-based or usage-based pricing models Familiarity with technical products, APIs, or developer-focused solutions Experience working with startup customers or in a high-growth startup environment Exposure to AI/ML concepts and applications 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: $222,800 — $290,000 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 Team As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including, product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities. IMPORTANT CONTEXT ON THIS ROLE: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. Responsibilities: Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality Conduct and drive comprehensive product safety reviews, covering technical and non technical harms, to inform product launch and safety mitigation strategies Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery. Leverage SME risk assessments to inform overall product safety recommendations Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy. Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment Stay current on industry trends and emerging risks in AI development to proactively address potential issues Contribute to regular reports on product policy risks and mitigations for senior leadership Minimum Requirements: Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders Understand safety policies and safety considerations associated with a wide range of product surfaces Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process Have conducted risk evaluations of novel products in fast moving organizations Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation 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: $245,000 — $285,000 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 Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Diagnose concurrency, memory-ordering, deadlock, race, correctness, and performance issues across software and hardware boundaries. Build tests, tracing, profiling, observability, and reproducible workloads for runtime correctness and performance. Partner with architecture and silicon teams to turn workload and simulator insights into hardware-software interface improvements. You might thrive in this role if you: Have strong low-level systems programming experience in C, C++, Rust, or comparable environments. Have built runtimes, drivers, firmware, operating-system components, accelerator software, or adjacent systems infrastructure. Understand concurrency, synchronization, asynchronous execution, queues, events, and memory-ordering semantics. Understand memory management, address spaces, DMA, caching, coherency, and hardware-software interfaces. Have hands-on experience with event-based, cycle-accurate simulators or closely related architectural and performance models. Can reason quantitatively about scheduling, latency, throughput, utilization, contention, and resource tradeoffs. Are skilled at debugging failures that span software abstractions, device interfaces, and hardware behavior. Work effectively across compiler, kernel, architecture, verification, firmware, and silicon teams. 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 Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will work on the systems software strategy and execution that brings new AI silicon from first power-on to a fully integrated system running production-representative models at expected functionality and performance. You will define how software exercises and validates compute, memory, interconnect, and I/O subsystems, then build the diagnostics, automation, and observability needed to find issues quickly. This role sits at the center of silicon, firmware, platform, systems, and workload teams. You will turn hardware specifications and performance targets into an end-to-end bringup plan, drive cross-functional debug, and establish the stress and regression infrastructure that makes each new platform reliable across operating environments. In this role, you will: Contribute to the end-to-end software bringup and validation strategy for new silicon and first-party systems. Define software-driven test coverage across compute, memory, interconnect, I/O, and their system-level interactions. Build diagnostics, test automation, telemetry, and regression infrastructure that accelerate first-silicon learning and issue isolation. Lead bringup from initial silicon arrival through board and system integration, docking, runtime enablement, and model execution. Design stress tests that characterize reliability, performance, and stability across workloads and operating conditions. Translate architecture specifications and performance models into measurable acceptance criteria, coverage goals, and pass/fail signals. Debug complex hardware-software failures, drive root-cause analysis, and coordinate fixes across silicon, firmware, electrical, platform, and workload teams. Validate that integrated systems deliver expected functionality and model performance, and turn bringup learnings into reusable infrastructure for future generations. You might thrive in this role if you: Have strong systems programming experience in C, C++, Rust, Python, or comparable low-level environments. Have brought up or validated complex silicon, accelerators, servers, or other hardware-software systems. Understand computer architecture and the behavior of compute, memory, interconnect, and I/O subsystems. Are skilled at low-level debugging across firmware, drivers, operating systems, and hardware interfaces. Can create a rigorous test strategy, reason about coverage gaps, and build scalable automation and observability. Have experience with performance characterization, stress testing, reliability testing, or production readiness. Communicate clearly across disciplines and can drive ambiguous, high-stakes technical work from plan through closure. Care deeply about building durable tools and processes that make subsequent bringup cycles faster and more predictable. 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 The Integrated Marketing team sits at the center of product, brand, creative, media, research, and GTM work. We partner closely with PMM, Product, Developer Relations, Design, Comms, and agency teams to shape launches and campaigns that are clear, distinctive, and grounded in real audience insight. This is a growing function, so the team needs people who can both raise the quality of the work and build the operating model around it: bringing strong judgment, high agency, and trusted partnership to complex, visible moments. About the Role OpenAI business launches move quickly and often involve new products, model capabilities, or research that can change how businesses operate. We’re looking for an integrated marketing manager to help shape those launches from early strategy through execution. You’ll develop a point of view on the audience, positioning, creative direction, and channels, and help turn complex product and research advances into campaigns that connect with customers. You’ll partner across Product, Product Marketing, Research, Brand, Creative, Communications, Growth, and Sales, along with external agencies. The right person understands technology, has strong strategic and creative instincts, and knows how to bring together the right people and ideas to produce work that is clear, credible, and effective. This is a hybrid role based in San Francisco, with three days a week in the office. In this role, you will: Develop integrated marketing strategies for business product launches, new capabilities, model releases, and research moments. Partner with Product, Product Marketing, and Research to understand what’s changing, identify the right audiences, and shape positioning and launch narratives. Lead campaigns that bring launches to life across creative, communications, customer marketing, developer marketing, growth, sales, and paid, owned, and earned channels. Identify customer stories, product demonstrations, and creative concepts that make technical capabilities tangible and relevant to business audiences. Work with creative, media, and production agencies to develop briefs, evaluate ideas, and deliver strong campaigns. Connect launch strategies to the needs of customers, sales teams, and partners, making sure the work supports both immediate announcements and longer-term adoption. Manage campaign budgets, agency relationships, and media investments where appropriate. You might thrive in this role if you: Have ~10+ years of experience in B2B product marketing, integrated marketing, launches, and/or a related technology go-to-market role. We care more about the scope, quality, and complexity of your work than an exact number of years. Have launched enterprise software, AI products, cloud services, developer tools, or other technically sophisticated offerings, especially in fast moving or ambiguous environments. Understand product positioning and can work closely with Product and PMM leaders as a thoughtful, credible partner. Bring strong ideas, build relationships easily, and know how to partner with internal creative teams or external agencies to improve the work, not just coordinate it. Pair creative judgment and customer empathy with analytical thinking, operational rigor, and hands-on execution. You can sort through a high volume of information, make sound recommendations, and keep complex launch work moving across many stakeholders. 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 Integrated Marketing team sits at the center of product, brand, creative, media, research, and GTM work. We partner closely with PMM, Product, Developer Relations, Design, Comms, and agency teams to shape launches and campaigns that are clear, distinctive, and grounded in real audience insight. This is a growing function, so the team needs people who can both raise the quality of the work and build the operating model around it: bringing strong judgment, high agency, and trusted partnership to complex, visible moments. About the Role Developers and founders are building some of the most interesting things happening in AI. They’re starting companies, creating new products, and changing how people work. We’re looking for an integrated marketing manager who understands this audience and can shape how OpenAI shows up for developers, founders, startups, and engineering teams. That includes supporting campaigns around new products, creating meaningful developer experiences, and finding compelling ways to highlight the people and companies building with our technology. You’ll partner across Product, Product Marketing, Developer Relations, Research, Brand, and Creative, along with external agencies and partners, to develop strategies and bring strong ideas to market. The right person understands technology, has good creative judgment, and knows how to turn audience insight into work that feels useful, credible, and worth paying attention to. This is a hybrid role based in San Francisco, with three days a week in the office. In this role, you will: Support marketing strategies for developers, founders, startups, and engineering teams building with OpenAI, based on how technical audiences discover tools, evaluate them, and decide what to use. Partner with creative, media, and production agencies to develop briefs, evaluate concepts, improve the work, and bring campaigns to market. Establish agency relationships, campaign budgets, media planning, and paid media investments. Manage integrated campaigns across product launches, developer events, startup initiatives, community programs, and other opportunities to reach builders. Help shape campaign positioning, creative concepts, storytelling, and channel strategy. Bring your own judgment to the work and push for ideas that will actually resonate with developers. Identify compelling developers, founders, and companies building with OpenAI and find thoughtful ways to tell their stories. Measure what’s working across awareness, engagement, consideration, product adoption, and relevant business outcomes, then use those insights to improve future campaigns. You might thrive in this role if you: Have ~ 10+ years of experience in developer marketing, integrated brand marketing, creative or media agencies, product marketing, and/or a related technology marketing role. We care more about the scope, quality, and complexity of your work than an exact number of years. Love technology, follow what developers and founders are building, and actively explore new AI products and tools. You are curious about APIs, models, developer tools, and technical products, and can ask informed questions without oversimplifying. Can earn credibility with engineers, product leaders, developer relations teams, and technical marketers, while also translating technical ideas into campaigns that broader founder, startups, and business audiences can understand. Bring strong brand, media, visual, and creative judgment; have experience selecting and managing agencies, shaping campaign briefs, and delivering distinctive integrated work. Combine analytical thinking, hands-on execution, strong relationships, and original ideas that make the work better for the people around you. You are high-agency, comfortable with ambiguity, able to push back constructively, and trusted as a strategic partner rather than only an execution owner. 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 We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. Polished enterprise communication and are calm with high-stakes customers during live incident calls Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. Compensation, Benefits and Perks This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position. Total compensation includes an annual salary, generous equity, and benefits. Medical, dental, and vision insurance for you and your family Mental health and wellness support PRSA plan with 8% employer matching Unlimited time off Annual learning & development stipend ($1,500 USD equivalent per year) 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 AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the model runtime within the inference engine that executes complex, frontier models at scale on OpenAI’s custom silicon. The runtime will sit between models running on the hardware and the upper layers of the cluster serving software stack, translating demanding inference workloads into efficient execution while optimizing for throughput, latency, utilization, and reliability. You will work across model architecture, distributed systems, compilers, kernels, and silicon to design a production-grade runtime comparable in ambition to systems such as vLLM and SGLang, but customized and optimized for OpenAI’s AI accelerator. Your work will shape how new model capabilities map onto the platform and how quickly custom silicon can deliver meaningful performance in production. In this role, you will: Design and implement the LLM inference runtime for frontier models running on custom silicon. Build scheduling, continuous batching, memory management, KV-cache management, and execution orchestration for high-performance inference. Develop distributed execution strategies across chips, hosts, and racks, including model partitioning, communication, and synchronization. Optimize end-to-end latency, throughput, memory efficiency, and hardware utilization across diverse model architectures and serving workloads. Partner with kernel, compiler, architecture, and silicon teams to co-design interfaces and remove performance bottlenecks across the stack. Enable new model features, execution patterns, numerical formats, and hardware capabilities in a reliable production runtime. Create profiling, observability, benchmarking, and performance-modeling tools that make runtime behavior measurable and actionable. Debug complex correctness, performance, and reliability issues spanning model code, runtime software, communication layers, and hardware. Turn workload insights into clear requirements for future generations of silicon and system architecture. You might thrive in this role if: Have strong systems programming experience in C++, Rust, Python, or comparable performance-oriented environments. Have built or optimized runtimes, distributed systems, compilers, kernels, model-serving infrastructure, or adjacent systems software. Understand modern LLM inference, including prefill and decode behavior, batching, KV-cache tradeoffs, and model parallelism. Can reason quantitatively about latency, throughput, compute intensity, memory bandwidth, communication, and utilization. Are comfortable profiling and debugging performance across multiple layers of a hardware-software stack. Can design clean abstractions while retaining the low-level control needed to extract performance from specialized hardware. Work effectively across model, systems, compiler, kernel, and hardware teams to drive ambiguous technical problems to closure. Care about production quality, including correctness, observability, reliability, maintainability, and graceful behavior at scale. 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. 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