# Manager, AI Deployment Engineering **Company**: OpenAI **Location**: San Francisco **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: Zone A$251K – $335K • Offers Equity **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/ba2ead69-d118-4a91-a4d7-c880d17fa7f9 **Canonical**: https://yubhub.co/jobs/job_e71d62c3-2ad ## Description ## Manager, AI Deployment Engineering ## Location San Francisco ## Employment Type Full time ## Location Type Hybrid ## Department ## Compensation - Zone A$251K – $335K • Offers Equity The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. More details about our benefits are available to candidates during the hiring process. This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. **About the team** The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. **About the role** We are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology. This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. **In this role, you will:** - Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers. - Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption. - Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps. - Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders. - Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors. **You’ll thrive in this role if you:** - Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations. - Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams. - Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture. - Have industry experience in programming languages like Python or Javascript. - Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same. - Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. **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. ## Skills ### Required - Generative AI - Traditional ML - Network/cloud architecture - Python - Javascript - Leadership - Communication - Mentorship - Technical customer-facing role - C-level technical and business relationships ### Nice to have - AI research and deployment - Machine learning - Data science - Cloud computing - DevOps - Agile development - Scrum - Kanban