$162K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s Ecosystem and Partnerships for Industrial Compute team works across partner strategy, capacity planning, deal structuring and execution, and cross-functional coordination for the infrastructure that powers OpenAI’s research, products, and services. The team is senior, bridges internal and external partners, owns commercial relationships and context from capacity ideation through delivery, and helps OpenAI understand the compute strategy and tradeoffs it is committing to.

About the Role

To make that model scale, we need strong program managers who can bring structure, follow-through, and visibility to the work. This role helps the team run well day-to-day: managing trackers, documentation, handoffs, operating cadences, and cross-functional coordination so that work accelerates, context is preserved and shared, and leadership has a clear view of priorities, risks, and decisions.

This is a leverage role. Success is helping convert a high-context partnership environment into a durable operating model with clear intake paths, defined ownership and handoffs, strong documentation, and live visibility from early capacity discussions through contract signature to operations delivery.

Responsibilities

• Running and improving the team’s operating rhythm across intake, prioritization, execution tracking, escalations, signature readiness, and post-sign handoff.

• Building and maintaining the team’s core documentation, including pipeline and capacity views, deal trackers, decision logs, partner playbooks, project status updates, and handoff materials across top partners and top projects.

• Driving and coordinating interfaces and handoffs across Engineering, Delivery and Operations, Finance, Security, Legal, and other stakeholders so deals and initiatives are connected and aligned.

• Supporting and running special projects that improve execution quality over time, including, key terms tracking, workflow controls, partner tiering, scalable reporting infrastructure, and public-company readiness workstreams.

• Deal support, including: (i) help run large, complex deals as projects by breaking them into clear workstreams, tracking dependencies, and ensuring teams stay aligned and on track; (ii) own smaller and higher-volume deals; and (iii) coordinate RFI / RFP and diligence workflows, ensuring that inputs from technical, legal, finance, and operations stakeholders are captured and sequenced cleanly.

• Keeping a live pulse on the team’s highest-priority opportunities and risks so leadership has early visibility.

Success here looks like contributing to an operating system with:

• real-time visibility into top partners, deals, and risks;

• clean execution hygiene across contracting and cross-functional workflows;

• clear interfaces and handoffs between teams (BD, Engineering, Delivery and Ops, Security, Finance, Legal);

• operational leverage, so that the team can scale its impact without scaling linearly in headcount.

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.

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The ideal candidate will have 3+ years of experience in revenue operations, billing operations, or growth ops at a SaaS or usage-based company. They will be operationally relentless, comfortable owning the billing lifecycle, and able to build dashboards from raw data. They will also have experience with usage-based pricing and enterprise deal support.

In this role, you will have the opportunity to work with a small, fast-moving, technical team building essential infrastructure kakapo will use to gather data on the web. You will be responsible for keeping the engine running and making it run faster. If you're the person who finds the thing that's broken before anyone notices, builds a dashboard no one asked for but everyone needs, and quietly saves the company $50K by catching a bad contract , this is your role.

This is a hands-on role that requires someone who is comfortable with process docs, but also lives in the numbers and can build the reporting infrastructure. The ideal candidate will be able to own billing, dashboards, compliance, and procurement themselves, and will not need a direct report for each function. They will also be able to treat compliance as someone else's problem, and will not be intimidated by new tools.

We offer a competitive salary of $90,000–$160,000/year, up to 0.05% equity, and a generous PTO policy. We also offer parental leave, wellness stipends, learning and development opportunities, and team offsites.

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You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Key responsibilities include:

• Strategic Technical Partnership: Providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities.

• Joint Solution Development: Collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures/best practices to accelerate time to deployment.

• Customer Deal Support: Intervening directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Representing Anthropic at partner events, leading or supporting partner-specific developer events, hackathons, and technical enablement sessions.

• Product Feedback: Validating and gathering feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and delivering this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

This role requires 5+ years of experience in technical customer-facing/partner-facing roles, a track record of successfully partnering with GSIs and/or cloud providers, and exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.

The annual compensation range for this role is $255,000-$345,000 USD.

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Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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 team, and we're committed to making our work as open and transparent as possible.

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