• Collaborate across the TechnologyAdvice marketing team to support the planning, delivery, and reporting for various types of marketing campaigns • Manage our email marketing and content calendars to ensure consistent and impactful delivery of marketing messages to our current audience • Support market research efforts to help drive positioning, messaging, and competitive intelligence • Support the planning and management of Event sponsorships as well as TechnologyAdvice’s own hosted events for prospects and clients • Collaborate with team members to execute integrated marketing campaigns to drive leads, pipeline, and revenue for the Sales team • Assist in reporting and data collection using tools like HubSpot and Salesforce for evaluating marketing program effectiveness.

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Our Go-To-Market (GTM) team helps organizations understand, adopt, and scale our AI products across their business — from ChatGPT Enterprise to our developer platform and APIs. The Enterprise Sales organization partners with the world’s largest companies to build new AI-powered customer experiences, transform operations, and reimagine how work gets done. We are expanding our industry focus across Financial Services, Retail, and other strategic industries while deepening our expertise and repeatable playbooks in Life Sciences. About the role As Sales Manager, Life Sciences, you will build and lead a team of Account Directors focused on landing and growing our largest Life Sciences customers — global pharmaceutical and biotechnology companies, medical device and diagnostics firms, contract research organizations (CROs), and large research institutions. You’ll be a hands-on front-line leader: coaching reps through complex opportunities, driving disciplined pipeline and forecasting practices, and creating the vertical GTM playbook for how OpenAI engages the Life Sciences market. This foundational leadership role will shape how leading Life Sciences organizations adopt AI and how we scale this motion across Enterprise. In this role, you will Recruit, develop, and lead a team of Enterprise Account Directors focused on new business and strategic expansion in Life Sciences. Create a strong coaching culture with frequent deal reviews, ride-alongs, and structured 1:1s that elevate performance. Define and refine the GTM strategy for Life Sciences accounts, aligned to our evolving territory and account coverage model. Drive territory design, account prioritization, and coverage approaches that balance new customer acquisition with strategic expansion. Establish clear operating rhythms for pipeline and forecast management, with explicit expectations on activity, coverage, and deal quality. Hold the team accountable for building and closing high-quality, multi-stakeholder, multi-product opportunities that materially impact revenue. Guide reps through complex, technical, and often unstructured opportunities in regulated environments. Help translate AI and API capabilities into business value for Life Sciences executives, partnering through regulatory, compliance, and data considerations (e.g., clinical data workflows, GxP/FDA/EMA contexts). Partner with Marketing to shape the Life Sciences story, campaigns, and events that generate qualified pipeline — and provide clear, data-driven feedback on what is and isn’t working. Provide structured, prioritized feedback to Product on customer use cases, feature gaps, and deal blockers to inform roadmap, packaging, and pricing decisions. Partner with Finance on deal structures, commercial terms, and approvals that balance customer needs with OpenAI’s revenue, margin, and risk objectives. Work closely with Technical Success and post-sales teams to co-design solutions, align on implementation expectations, and ensure smooth handoffs that set customers up for long-term success. What we’re looking for 15+ years of experience in enterprise sales, success, or GTM leadership, with significant time leading at scale. Proven track record of driving revenue growth in enterprise segments ($100M+ businesses). Experience leading verticalized sales motions and building go-to-market plays from scratch. Strong operational orientation: comfortable with capacity planning, pipeline rigor, forecasting, and data-driven execution. Low-ego, culture-first leader who builds trust across teams and inspires followership. Comfortable with ambiguity and rapid change; thrives in a dynamic, startup-like environment inside a global company. Public company experience is strongly preferred. You might thrive in this role if you Have direct Life Sciences experience — selling into pharma, biotech, medtech, diagnostics, CROs, or research institutions with a strong understanding of regulatory, compliance, and data landscapes. Bring an existing network of senior Life Sciences executives and can convene the right stakeholders around new AI initiatives. Are a coach-first leader — energized by being in deals with your team, giving direct feedback, and watching reps level up. Have helped build or refine verticalized GTM motions and are excited to codify operating rhythms, playbooks, and best practices from a relatively early starting point. Are comfortable with technical depth — you’re not an engineer, but you quickly understand AI, data, and API concepts and can guide your team to do the same. Are energized by big goals and ambiguity — large revenue targets, fast hiring, evolving products, and a rapidly changing market feel like an opportunity, not a deterrent.. 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.

• Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams • Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals • Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually • Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions • Identify recurring analytical needs and convert them into scalable, automated data products • Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders • Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer • Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time • Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion • Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation • Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis • Proactively surface decision-relevant insights, even when questions are not fully formed • Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance • Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing) • Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements • Surface high-leverage opportunities to improve conversion, retention, and revenue durability • Collaborate with data engineers and analytics peers to improve data quality, access, and trust • Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling • Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time • Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics • Maintain high standards of analytical rigor, documentation, and reproducibility.

• Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams • Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals • Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually • Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions • Identify recurring analytical needs and convert them into scalable, automated data products • Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders • Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer • Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time • Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion • Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation • Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis • Proactively surface decision-relevant insights, even when questions are not fully formed • Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance • Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing) • Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements • Surface high-leverage opportunities to improve conversion, retention, and revenue durability • Collaborate with data engineers and analytics peers to improve data quality, access, and trust • Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling • Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time • Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics • Maintain high standards of analytical rigor, documentation, and reproducibility