OpenAI

2 weeks ago

Manager, AI Deployment Engineering - Enterprise

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead and develop a team of AI Deployment Engineers supporting OpenAI’s Enterprise customers across Professional Services, Media & Entertainment, Telecommunications, and Private Equity. Own portfolio technical success from solution design through production readiness and adoption, coaching on architecture, evaluation, reliability, safety, security, governance, and cost. Serve as escalation support for critical launches and incidents, and partner cross-functionally with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Build, manage, and develop a high-performing team of AI Deployment Engineers supporting enterprise customers across Professional Services, Media & Entertainment, Telecommunications, and Private Equity.
•Own the quality and impact of work across solution design, implementation, production readiness, adoption, and expansion.
•Coach engineers through architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost decisions.
•Establish an operating model for prioritizing accounts and engagements based on customer need, strategic value, technical complexity, and repeatable impact.
•Serve as a senior technical escalation point during critical launches, production incidents, and complex integrations; translate customer needs into actionable feedback for internal teams.

Pay and Benefits

Salary: USD 251,000 - 335,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Have significant experience managing customer-facing technical teams such as Solutions Architects, Deployment Engineers, Forward Deployed Engineers, Technical Account Managers, or similar functions.
•Have built or led teams deploying complex software, data, machine learning, or AI systems in enterprise environments.
•Maintain enough technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions.
•Have experience taking AI/ML (or other technically complex systems) from prototype to production.
•Understand production system requirements including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.

Experience:AIMachine learningEnterpriseGenerative AI

Skills:People leadershipCoachingCross-functional collaborationExecutive communicationOperational rigor

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·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: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 weeks ago

Manager, AI Deployment Engineering - Enterprise

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Build, manage, and develop a high-performing team of AI Deployment Engineers supporting enterprise customers across Professional Services, Media & Entertainment, Telecommunications, and Private Equity.
•Own the quality and impact of work across solution design, implementation, production readiness, adoption, and expansion.
•Coach engineers through architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost decisions.
•Establish an operating model for prioritizing accounts and engagements based on customer need, strategic value, technical complexity, and repeatable impact.
•Serve as a senior technical escalation point during critical launches, production incidents, and complex integrations; translate customer needs into actionable feedback for internal teams.

Pay and Benefits

Salary: USD 251,000 - 335,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Have significant experience managing customer-facing technical teams such as Solutions Architects, Deployment Engineers, Forward Deployed Engineers, Technical Account Managers, or similar functions.
•Have built or led teams deploying complex software, data, machine learning, or AI systems in enterprise environments.
•Maintain enough technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions.
•Have experience taking AI/ML (or other technically complex systems) from prototype to production.
•Understand production system requirements including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.

Experience:AIMachine learningEnterpriseGenerative AI

Skills:People leadershipCoachingCross-functional collaborationExecutive communicationOperational rigor

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·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: 4.4

Website LinkedIn Glassdoor