Manager, Partner Applied AI Engineering (AWS)

Details

About the Team

The Applied AI Engineering (AAE) team helps developers and enterprises turn the potential of generative AI into real-world impact. The team acts as a trusted advisor and technical partner to customers and ecosystem partners, identifying high-impact AI use cases and bringing them into production through architectural guidance and hands-on execution.

The Partner Applied AI Engineering organization works with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale adoption of OpenAI technologies. The AWS Partner AAE pod enables AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI's platform.

About the Role

The Manager, Partner Applied AI Engineering – AWS will lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. The role owns the technical success strategy for AWS-aligned partners and develops scalable, repeatable approaches for partners and customers to adopt OpenAI technologies.

The team will guide partners and customers through the full AI implementation lifecycle, including use-case identification and shaping, solution design, architecture, production deployment, optimization, and adoption growth. The role works cross-functionally with Sales, Partnerships, Product, Research, and Engineering to incorporate partner and customer feedback into the platform roadmap and production practices.

Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem.

This role is based in the San Francisco office and follows a hybrid work model requiring three days in the office per week.

Responsibilities

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

Requirements

• 8+ years of experience in technical customer-facing roles, including executive-level technical and business relationships with enterprise organizations and strategic partners.
• 3+ years of experience leading high-performing technical teams in applied AI engineering, solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments.
• Hands-on experience building and deploying generative AI and traditional machine learning systems in production environments.
• 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 Python, JavaScript, or TypeScript.
• Ability to balance strategic leadership with hands-on technical engagement and operational execution.
• Strong communication skills, including the ability to translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers.
• A strong sense of ownership, humility, and curiosity, with willingness to learn quickly and help others succeed in ambiguous, fast-moving environments.

Benefits

• Base salary range of $251,000–$335,000 per year.
• Equity and performance-related bonus opportunities for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, and paid office closures.
• 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 and is committed to providing reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.