Manager, Partner AI Deployment Engineering - AWS

OpenAI
San Francisco
Workplace: HybridFull timeUSD 251,000 - 335,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsSkills: ["Leadership","Communication","Strategic thinking","Mentoring","Team management"]

Lead a team of AI Deployment Engineers to enable AWS-aligned partners and their customers to build, deploy, and operationalize OpenAI AI applications. Own the technical success strategy, guide deployments end-to-end, collaborate with cross-functional teams, and scale repeatable deployment motions within a hybrid San Francisco-based office.

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FursaFursa
OpenAI
OpenAI
2 months ago

Manager, Partner AI Deployment Engineering - AWS

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead a team of AI Deployment Engineers to enable AWS-aligned partners and their customers to build, deploy, and operationalize OpenAI AI applications. Own the technical success strategy, guide deployments end-to-end, collaborate with cross-functional teams, and scale repeatable deployment motions within a hybrid San Francisco-based office.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Manager level

Key Responsibilities

  • ā€¢Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments.
  • ā€¢Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.
  • ā€¢Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of OpenAI technologies.
  • ā€¢Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.
  • ā€¢Serve as a senior technical escalation point for critical partner and customer engagements, helping teams navigate ambiguity and drive successful outcomes.

Pay and Benefits

Salary: USD 251,000 - 335,000 annually
Equity and Bonus:Equity
Perks:RelocationEquity

Key Requirements

  • ā€¢8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners
  • ā€¢3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments
  • ā€¢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
  • ā€¢Strong knowledge of AWS cloud infrastructure and modern cloud-native architectures, including networking, security, compute, storage, observability, and application deployment patterns
  • ā€¢Technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript
Experience:8+ yearsAICloud computing
Skills:LeadershipCommunicationStrategic thinkingMentoringTeam management
Languages:English
Tech Stack:AWSPythonJavaScriptTypeScriptLLMMLSecurityArchitecture

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor