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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e71d62c3-2ad"},"title":"Manager, AI Deployment Engineering","description":"<p><strong>Manager, AI Deployment Engineering</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>Zone A$251K – $335K • Offers Equity</li>\n</ul>\n<p>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.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>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)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>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)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>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.</p>\n<p><strong>About the team</strong></p>\n<p>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.</p>\n<p><strong>About the role</strong></p>\n<p>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.</p>\n<p>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.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.</li>\n</ul>\n<ul>\n<li>Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.</li>\n</ul>\n<ul>\n<li>Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you:</strong></p>\n<ul>\n<li>Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.</li>\n</ul>\n<ul>\n<li>Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.</li>\n</ul>\n<ul>\n<li>Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.</li>\n</ul>\n<ul>\n<li>Have industry experience in programming languages like Python or Javascript.</li>\n</ul>\n<ul>\n<li>Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.</li>\n</ul>\n<ul>\n<li>Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you&#39;re missing to make both your team and our customers succeed.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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Operating as a 0→1 innovation group, the team works across problem spaces to discover where advances in AI can unlock entirely new user experiences.</p>\n<p>We operate with a startup-like mindset inside OpenAI: small teams, fast iteration cycles, and a willingness to explore bold ideas, learn quickly, and pivot based on real-world signals. Our goal is to turn promising concepts into validated products that can scale to global impact.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Full-Stack Software Engineer on the Incubation team, you’ll help imagine, prototype, and build entirely new product experiences within the OpenAI ecosystem. This team moves quickly from idea to experiment to iteration, exploring multiple directions in parallel and investing deeply in the most promising opportunities.</p>\n<p>You’ll work across the stack—building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners—to bring early-stage ideas to life. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, as well as designing new architectures when existing systems aren’t sufficient.</p>\n<p>We’re looking for engineers who thrive in small, nimble teams, bring creative product instincts, and pair strong execution with sound technical judgment. You should be comfortable operating in ambiguity, learning from experiments, and helping shape both product direction and technical strategy from the ground up.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Prototype and iterate quickly on new product ideas, exploring how AI can unlock novel user experiences and workflows.</li>\n<li>Turn early concepts into functional demos and ship code early and often, using real-world feedback to guide iteration.</li>\n<li>Validate ideas through experimentation and help scale the strongest concepts from prototype to production.</li>\n<li>Work across the full stack to build products from initial exploration through launch readiness.</li>\n<li>Collaborate closely with research, product, design, data science, and engineering partners to drive meaningful impact.</li>\n<li>Learn from and contribute alongside deeply experienced engineers while fostering a high-trust, inclusive, and candid team culture.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 3+ years of professional software engineering experience.</li>\n<li>Have built and shipped full-stack apps end-to-end — from prototype to traction — in fast-moving, startup-like environments.</li>\n<li>Are energized by ambiguity — you can take a one-sentence idea and turn it into a working product.</li>\n<li>Jump at opportunities to learn new systems or languages and share your insights clearly with others.</li>\n<li>Enjoy exploring new problem spaces and shaping products before requirements are fully defined.</li>\n<li>Thrive in high-ambiguity environments and can independently translate broad ideas into shipped products.</li>\n<li>Welcome direct, constructive feedback and offer the same to others with clarity and respect.</li>\n<li>Are fluent across multiple programming languages and frameworks — choosing the right tools to move quickly and effectively.</li>\n</ul>\n<p><strong>About OpenAI</strong> OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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