Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 6
Agentic Systems @ 3
Codex
Communication @ 8
Experimentation
RAG @ 3
Software Development @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The AI Deployment Manager team helps organizations turn OpenAI products into sustained impact through enablement, training, and scalable deployment programs. The team partners with enterprises to translate OpenAI technology into durable capabilities and helps customers progress from experimentation to production.
Responsibilities
- Own the technical enablement of OpenAI products, including OpenAI APIs, Codex, Agents, Evaluations, and other platform capabilities.
- Lead customer training and enablement throughout the customer lifecycle, from onboarding through expansion, optimization, and long-term adoption.
- Design and deliver onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for senior leaders and working teams.
- Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs.
- Partner with Sales, Solutions Architecture, Solution Architects, Delivery Leads, and Product teams to create enablement plans tailored to customer use cases, goals, and technical needs.
- Develop reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.
- Gather and synthesize customer feedback to inform product and program improvements.
- Serve as a subject matter expert for designated product areas, support internal enablement, identify emerging customer use cases, and aggregate feedback to inform product development.
Requirements
- 4+ years of experience in customer-facing or instructional roles involving C-level and senior technical audiences in complex enterprise environments.
- Exceptional presentation and communication skills, including the ability to explain technical concepts clearly to senior and executive-level audiences.
- Strong technical depth in software engineering, the software development lifecycle, and APIs.
- Practical understanding of how AI systems are built, evaluated, and operated in production, including retrieval-augmented generation (RAG), evaluation strategies, agentic systems, and key tradeoffs.
- Experience leading structured technical training, such as API bootcamps, workshops, or enablement sessions.
- Ability to design learning journeys, handle live questions, and reason through problems in real time.
- Ability to connect technical features to business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact.
- Ability to adapt quickly in live customer settings while maintaining clarity, ownership, and momentum.
- Commitment to the safe and ethical evolution of AI.
Benefits
- Base salary of $240,000, plus equity and performance-related bonuses for eligible employees.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax Flexible Spending Accounts and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, and office closures.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
The role is based in San Francisco or New York City and follows a hybrid work model requiring three days in the office per week. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
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