Manager, Partner AI Deployment Engineering - AWS

Details

The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of generative AI applications for developers and enterprises. The Partner ADE organization works with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform.

This role is based in the San Francisco office and uses a hybrid work model (3 days in office per week). OpenAI offers relocation assistance to new employees.

Responsibilities

• Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments.
• Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.
• Partner with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of OpenAI technologies.
• Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.
• Serve as a senior technical escalation point for critical partner and customer engagements to drive successful outcomes.
• Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements, tooling enhancements, and deployment best practices.
• Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns to improve partner effectiveness and reduce time-to-production.
• Drive operational excellence across the team, including resource planning, prioritization, hiring, onboarding, performance management, and career development.
• Act as an external thought leader on enterprise AI deployment, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem.

Requirements

• 8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners.
• 3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments.
• Hands-on experience deploying generative AI and traditional ML systems into production, including familiarity with LLM application architectures, evaluation methodologies, orchestration frameworks, and operational best practices.
• Strong knowledge of AWS cloud infrastructure and modern cloud-native architectures, including networking, security, compute, storage, observability, and application deployment patterns.
• Experience working with cloud ecosystem partners, systems integrators, consultancies, or technical alliance organizations.
• Technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript.
• Ability to balance strategic leadership with hands-on technical engagement and operational execution.
• Strong communication skills to translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers.
• Ownership mindset, humility, curiosity, and ability to operate in ambiguous, fast-moving environments.

Benefits

• Base salary in the range $251,000 – $335,000 (Zone A). Offers equity and other compensation components.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents); 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 additional coordinated office closures; paid sick or safe time as required by law.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees and additional taxable fringe benefits (e.g., charitable donation matching, wellness stipends).

About OpenAI

OpenAI is an AI research and deployment company focused on ensuring general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diverse perspectives, and inclusive hiring practices. Background checks and reasonable accommodation processes are described in the posting.