Manager, Partner AI Deployment Engineering – AWS

OpenAI

Manager leading a team of AI Deployment Engineers to support AWS partner engagements and customer deployments. Overseeing technical strategies and ensuring successful integrations and deployments.

Posted 6/4/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorLead💰 $251,000 - $335,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

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 closely 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, helping teams navigate ambiguity and 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 that 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

What you’ll need

Have 8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners.
Have 3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments.
Have hands-on experience deploying Generative AI and traditional ML systems into production environments, including familiarity with LLM application architectures, evaluation methodologies, orchestration frameworks, and operational best practices.
Have strong knowledge of AWS cloud infrastructure and modern cloud-native architectures, including networking, security, compute, storage, observability, and application deployment patterns.
Have experience working with cloud ecosystem partners, systems integrators, consultancies, or technical alliance organizations.
Have technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript.
Are comfortable balancing strategic leadership with hands-on technical engagement and operational execution.
Are an effective communicator who can translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers alike.
Have a strong sense of ownership, humility, and curiosity, with a willingness to learn quickly and help others succeed in ambiguous, fast-moving environments.

Benefits

Comp & perks

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.

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Hard Skills & Tools

Generative AIMachine LearningAWSLLM application architecturesevaluation methodologiesorchestration frameworkssoftware engineeringPythonJavaScriptTypeScript

Soft Skills

leadershipmentoringcommunicationstrategic thinkingproblem-solvingcollaborationownershiphumilitycuriosityadaptability