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 @ 4
API
Communication @ 7
GenAI @ 7
Generative AI @ 4
JavaScript @ 4
Machine Learning @ 4
Python @ 4
- 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 Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. The team acts as a trusted advisor and thought partner, helping customers identify GenAI use cases and drive them to production through strong technical guidance. Solutions include customer service, automated content generation, and novel applications using advanced AI models.
The role leads the AI Deployment Engineering team serving technology and software customers in the Americas. It involves managing the full implementation journey, ensuring seamless platform integration, aligning technical teams, and delivering a consistent customer experience. Success is measured by live production applications, increased API adoption, and customer stories demonstrating the value of the technology.
This role is based in the San Francisco office and follows a hybrid work model requiring three days in the office per week.
Responsibilities
- Own the strategy and operating model of the AI Deployment Engineering team, aligning it with company objectives and evolving customer needs.
- Lead, build, and mentor a high-performing team of AI Deployment Engineers.
- Deliver customer outcomes demonstrated by production applications and increased API adoption.
- Serve as the technical advocate for customers and synthesize their needs to inform Research and Applied Product and Engineering roadmaps.
- Act as the primary technical escalation point during development.
- Foster trust and maintain direct communication with executive-level stakeholders.
- Serve as an industry thought leader, championing the safe and innovative application of AI technology across various sectors.
Requirements
- 8+ years of experience in a technical customer-facing role managing C-level technical and business relationships with complex global organizations.
- 2+ years of experience leading technical post-sales teams, with demonstrated ability to hire, develop, and manage technical teams.
- Experience leading complex implementations of Generative AI or traditional machine learning solutions.
- Knowledge of network and cloud architecture.
- Industry experience with programming languages such as Python or JavaScript.
- Strong communication skills, including the ability to translate business and technical topics for diverse audiences and mentor others.
- A humble, helpful attitude and eagerness to develop the knowledge needed to help the team and customers succeed.
Benefits
- Base salary of $251,000–$335,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax Flexible Spending Accounts, dependent care, and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, office closures, and sick or safe time.
- 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.
OpenAI is an equal opportunity employer committed to reasonable accommodations and fair employment practices.