Enterprise Sales Manager, Healthcare & Life Sciences

About the Role We’re building our Healthcare and Life Sciences leadership team to help organizations translate advances in AI into meaningful impact. We’re looking for sales leaders to build and develop high-performing teams, deepen strategic customer relationships, and shape OpenAI’s growth across this industry. Our customers span health systems, payers, pharmaceutical and biotechnology companies, medical technology companies, and healthcare technology organizations. Your team will help customers identify opportunities to improve workforce productivity, accelerate research and discovery, strengthen operations, and enhance patient, member, and customer experiences. You’ll be a hands-on leader who coaches teams through complex enterprise sales cycles, builds executive relationships, and helps customers move from experimentation to scaled deployment. Success requires understanding how healthcare and life sciences organizations evaluate technology, establish trust, and adopt AI responsibly. You’ll also help define our industry go-to-market strategy, operating model, and playbooks. Working across commercial, research, clinical, operational, and technical stakeholders, you’ll guide your team in identifying high-value opportunities and building credible business cases for adoption. We’re hiring across our growing Healthcare and Life Sciences sales leadership team. Specific responsibilities and team scope will reflect the opportunity and your experience. In this role, you will: Recruit, develop, and lead high-performing enterprise sales teams serving strategic healthcare and life sciences accounts across North America. Build a strong coaching culture through deal reviews, account strategy sessions, customer engagement, and structured development. Shape industry and segment-specific go-to-market strategies, including account segmentation, prioritization, executive engagement, and territory planning. Drive disciplined pipeline generation, accurate forecasting, and consistent execution across complex enterprise opportunities. Guide consultative sales cycles involving business leaders, IT, research and development, clinical teams, operations, security, privacy, compliance, procurement, and legal. Help customers connect AI capabilities to measurable outcomes across knowledge work, research, administrative workflows, commercial operations, and patient and member engagement. Coach teams to build business cases grounded in industry economics, implementation feasibility, organizational readiness, and customer priorities. Help customers move from pilots to broader adoption through clear success criteria, executive sponsorship, deployment planning, and change management. Partner with Product, Solutions Architecture, Technical Success, Legal, Security, Finance, and Marketing to support customer success and industry growth. Bring structured feedback to Product and leadership on industry needs, integration requirements, adoption barriers, competitive dynamics, and emerging opportunities. Establish a culture of accountability, customer focus, and operational excellence within a low-ego, collaborative environment. You might thrive in this role if you have: 15+ years of enterprise sales, go-to-market, or sales leadership experience, including significant experience leading teams selling into large healthcare or life sciences organizations. A proven track record of building and scaling enterprise sales teams responsible for complex strategic accounts and substantial revenue targets. Demonstrated ability to coach senior Account Directors through opportunities involving multiple decision-makers, extended evaluation cycles, and significant organizational dependencies. Deep expertise in one or more healthcare and life sciences segments, such as providers, payers, pharmaceutical and biotechnology companies, medical technology, or healthcare technology, including their distinct priorities, buying processes, and operating models. Experience leading consultative, multi-product, or platform-based enterprise sales involving executive sponsors, technical buyers, and clinical, research, commercial, or operational stakeholders. A track record of developing new go-to-market motions and turning early customer adoption into repeatable, scalable growth. Demonstrated ability to help customers evaluate technology investments through measurable business value, implementation feasibility, and long-term adoption. Strong operational rigor across forecasting, pipeline management, territory planning, and performance management. Technical fluency sufficient to discuss APIs, enterprise AI platforms, data integration, and deployment considerations with technical buyers and internal partners. Sound judgment in positioning AI use cases with clear value, appropriate scope, and attention to customer requirements for privacy, security, governance, and human oversight. Strong executive presence and the ability to engage credibly with CIOs, CTOs, chief digital and AI officers, and senior research, clinical, commercial, operational, and business leaders. The ability to operate effectively in a fast-moving, ambiguous environment while helping teams maintain focus and execution discipline. A low-ego leadership style with a demonstrated commitment to developing talent, building trust, and creating high-performing teams. Must Have Experience Proven experience leading enterprise sales teams serving large, complex healthcare or life sciences accounts. Strong understanding of enterprise buying processes within healthcare or life sciences, including how business, technical, operational, privacy, security, and compliance stakeholders evaluate and adopt new technology. Track record developing new go-to-market motions and converting early customer adoption into repeatable, scalable growth. Technical fluency sufficient to discuss APIs, enterprise AI platforms, data integration, and deployment considerations with technical buyers and internal partners. Demonstrated ability to coach senior enterprise sellers through complex opportunities with multiple decision-makers, extended evaluation cycles, and significant organizational dependencies. Ability to connect AI capabilities to measurable business value, with appropriate scope and an understanding of customer requirements for privacy, security, governance, and human oversight. Highly collaborative leadership style with a strong focus on accountability, culture, and talent development. Strong Preferences Experience selling enterprise software, cloud, data, AI, or consumption-based platforms into healthcare or life sciences. Experience navigating enterprise-wide agreements and expanding relationships across business units, functions, geographies, or affiliated organizations. Familiarity with data environments, enterprise systems, and integration requirements across one or more healthcare and life sciences segments, including the practical challenges of embedding new technology into established workflows. Experience partnering with customers on AI governance, technology evaluation, deployment planning, and organizational change. Experience influencing product roadmaps, pricing, packaging, or enterprise commercial structures based on industry needs. Public company operating experience with rigorous forecasting and performance accountability. Nice to Have Direct experience with generative AI adoption in healthcare or life sciences. Experience across both high-growth technology companies and scaled enterprise organizations. Established relationships with senior business, technology, research, clinical, commercial, or operational leaders within healthcare or life sciences. Experience helping customers scale successful pilots across an enterprise and demonstrate sustained adoption and measurable value. 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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