AI Deployment Manager - Pilots - San Francisco
OpenAI - San Francisco, California, United States
Posted Mar 23, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Schedule
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- Weekend work
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Application
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About this role
AI Deployment Manager - Pilots - San Francisco San Francisco, California, United States About the Role The AI Deployment Manager (ADM) - Pilots is a customer-facing role responsible for leading structured, time-bound enterprise AI pilots from initial scoping through final executive readout. This role is focused on helping customers evaluate OpenAI's products in real-world contexts, identify high-value use cases, and generate clear, decision-ready signals tied to business value. You will design and lead pilot engagements that drive activation, sustained usage, and measurable impact across ChatGPT Enterprise, Codex, and adjacent workflows. This includes partnering with customer stakeholders to define success criteria, guiding users from experimentation to real adoption, and translating pilot outcomes into clear recommendations that support expansion or purchase decisions. This role requires strong judgment, the ability to operate in ambiguity, and a consistent focus on connecting technical capabilities to business outcomes. You will regularly engage both executive stakeholders and working teams, adapting your approach to meet customers where they are and move them forward. In this role, you will: - Own the design and execution of enterprise AI pilots, including scoping, cohort definition, and success criteria aligned to a clear commercial decision. - Identify and prioritize a small set of high-impact use cases that can generate credible signal within a 30-45 day pilot. - Drive activation and sustained engagement across pilot cohorts through targeted enablement, office hours, and workflow-level coaching. - Monitor pilot performance and adapt in real time, diagnosing gaps in engagement, use case traction, or stakeholder alignment.
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