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
Generative AI @ 4
Hiring @ 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 works as a trusted advisor and thought partner for customers, building backlogs of generative AI use cases and driving them to production through technical guidance.
The role leads AI Deployment Engineers supporting technology and software companies in the Digital Native segment. It involves managing the implementation journey, ensuring platform integration, aligning technical teams throughout the customer lifecycle, and driving live production applications, increased API adoption, and impactful customer stories.
The role is open 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 the company’s 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, including hiring, developing, and managing 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, with the ability to translate business and technical topics for diverse audiences and mentor others.
- A humble attitude, eagerness to help others, and willingness to develop missing knowledge to support team and customer success.
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 for healthcare, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off and company holidays.
- 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.
- Reasonable accommodations are available to applicants with disabilities.
OpenAI is an equal opportunity employer and does not discriminate on the basis of legally protected characteristics.