Technical Product Manager, GTM Systems

ABOUT THE TEAM OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together to accomplish this. In pursuit of this mission, our Enterprise Platform Technology team is responsible for enabling scalable go-to-market operations that help customers successfully adopt OpenAI’s products. The team partners across Sales, Marketing, Revenue Operations, Finance, Support, Data, and Engineering to design intelligent systems and workflows that support customer acquisition, lifecycle activation, and operational scale across the GTM ecosystem. ABOUT THE ROLE OpenAI’s top-of-funnel GTM landscape is evolving into a signal-driven, data-orchestrated acquisition engine powered by AI-native workflows, enriched customer intelligence, and increasingly interconnected GTM systems. We are looking for a Technical Product Manager to help drive the strategy, alignment, prioritization, and execution of these systems across Salesforce and adjacent GTM platforms. This role will partner closely with GTM Systems Engineering, Revenue Operations, Sales, Marketing, Data, and Enterprise Platform teams to operationalize scalable workflows supporting lead capture, enrichment, routing, activation, prospecting, and pipeline generation. The ideal candidate combines strong technical fluency, operational systems thinking, and stakeholder leadership with the ability to drive execution across highly cross-functional environments. IN THIS ROLE, YOU'LL: - Own and drive top-of-funnel GTM systems initiatives across Lead-to-Opportunity (LtO), enrichment orchestration, prospecting workflows, lifecycle activation, routing, and sales engagement operations - Partner with stakeholders and engineering teams to identify operational pain points, define scalable solutions, evaluate technical tradeoffs, and execute across Salesforce and adjacent GTM platforms - Align cross-functional stakeholders across GTM, Revenue Operations, Marketing, Finance, Security, Legal, Data, and Enterprise Platform teams while driving execution cadence, prioritization, and delivery visibility - Help operationalize AI-native GTM workflows by defining scalable automation, orchestration, agentic workflows, and human-in-the-loop processes across the customer acquisition lifecycle YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Strong understanding of Lead-to-Opportunity (LtO) workflows, GTM systems, and data enrichment ecosystems supporting modern sales organizations - Experience working across Salesforce, Marketing Automation platforms, enrichment providers, Sales Engagement tooling, routing engines, and adjacent GTM systems - Familiarity with attribution flows, MQL/SQL lifecycle management, deduplication, territory assignment, lead routing, sequencing orchestration, and data normalization at scale - Proven ability to drive complex cross-functional initiatives from discovery and stakeholder alignment through execution and operationalization - Strong technical fluency across APIs, integrations, event-driven architectures, enterprise SaaS ecosystems, and Salesforce platform capabilities - Experience partnering closely with Engineering, Revenue Operations, Sales, Marketing, Finance, Security, and Enterprise Platform teams - Experience operating within SOX/SOC2-controlled environments with strong understanding of SDLC, QA, release management, and operational governance - Strong written and verbal communication skills with the ability to clearly communicate priorities, tradeoffs, risks, and execution plans NICE TO HAVE - Ability to independently reason through technical system design, integration dependencies, and operational tradeoffs alongside engineering teams - Familiarity with Salesforce platform architecture, automation patterns, APIs, and event-driven workflows - Experience working within AI-native, high-growth, or highly ambiguous operating environments - Exposure to global go-to-market operations, territory models, and regional business processes - Ability to operate scrappily and iteratively while maintaining a strong bias toward scalability, governance, and long-term maintainability Compensation Range: $216K - $240K USD 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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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