Product Marketing Lead, Verticals
About this role
About the Team
OpenAI’s marketing team advances our mission by helping people and organizations understand what AI can make possible and how to put it to work responsibly. Industry product marketing connects our technology with the needs of specific markets, bringing customer insight into our decisions and helping customers move from interest to meaningful adoption. We are looking for product marketing leads across Life Sciences, Healthcare, and Financial Services. Each lead will own the strategy and execution for their industry and help shape OpenAI’s place in it.
About the Role
This is a senior leadership role that is responsible for shaping our go-to-market in a given vertical. You’ll make choices about priority use cases, shape our positioning, and align teams around a focused plan. You’ll bring evidence from the market into product and go-to-market decisions, build relationships with senior customer leaders, and stay close to execution.
You’ll be accountable for an industry strategy that earns customer trust, increases adoption, and supports business growth. We’re looking for someone who can set a long-term direction, influence consequential decisions, and build the programs and customer evidence needed to deliver on it.
In This Role You Will
Own the industry strategy. Assess the market, choose priority segments and use cases, and define a clear plan for growth, including where we will not focus.
Shape product and go-to-market decisions. Bring customer needs, market evidence, and competitive insight to Product, Research, and GTM leaders. Make clear recommendations and work through tradeoffs.
Build executive customer relationships. Engage senior business and technical leaders on their priorities, AI opportunities, adoption barriers, and measures of success.
Define our industry positioning. Explain where OpenAI can deliver differentiated value, grounded in customer realities and the capabilities and limitations of our products.
Develop customer evidence. Work with customers and internal teams to document credible outcomes and ROI, understand what makes adoption successful, and build repeatable use cases.
Lead cross-functional execution. Align Product, Sales, Solutions, Partnerships, Marketing, and Customer Success around priorities and outcomes. Turn the strategy into launches, executive programs, campaigns, and field enablement.
Set the bar for credibility and trust. Partner with Policy, Legal, and Comms on accurate claims and responsible customer-facing guidance in regulated, high-trust industries.
Be accountable for results. Set measures tied to adoption, pipeline contribution, and market growth. Evaluate performance with GTM partners and adjust priorities and investment as evidence changes.
You Might Thrive in This Role If You
10+ years of experience leading product marketing, industry strategy, or enterprise go-to-market work at significant scale, with a track record of shaping strategy and delivering measurable business outcomes.
Bring deep expertise in Financial Services, Healthcare, or Life Sciences, including how organizations buy, adopt technology, manage risk, and measure value.
Have the credibility to advise C-suite customers and the judgment to challenge assumptions respectfully.
Can influence consequential decisions across senior technical and commercial leaders without relying on formal authority.
Understand complex enterprise technology and translate it into clear positioning and compelling narratives without overstating what it can do.
Combine strategic judgment with hands-on execution. You can set a direction, write the first draft, and follow through across launches, customer programs, and field enablement.
Use customer evidence, product usage, and market insight to make decisions and adapt quickly in an ambiguous, fast-moving environment.
Bring strong writing and editorial judgment, technical curiosity, and a commitment to helping organizations adopt AI safely and responsibly.
Workplace & Location
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required.
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.
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