Netflix

4 months ago

Technical Program Manager 5 - Studio Production Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead multiple complex, cross-functional technical programs for foundational studio infrastructure, including hardware provisioning, cloud tenant setup, and large-scale data migrations. Provide domain expertise to migrate and modernize studio production environments, coordinate integrations of third-party creative and infrastructure software, and drive Generative AI/ML initiatives with engineering and data science partners. Decompose requirements into execution plans with milestones, manage dependencies and risks, and communicate progress and business impact to stakeholders and leadership.

Location: Los Angeles

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Mid level

Key Responsibilities

•Lead multiple complex, cross-functional technical programs for studio infrastructure, including hardware provisioning and cloud tenant setup, and large-scale data migration initiatives.
•Develop technical strategies for migrating and modernizing studio production environments, including handling large datasets across storage and cloud solutions.
•Scope and lead technical integration of third-party creative and infrastructure software onto Netflix corporate platforms.
•Identify high-value Generative AI/ML use cases and work with partners to productionize AI platform capabilities such as access to advanced LLMs/APIs.
•Translate requirements into execution plans with measurable milestones, manage cross-functional dependencies and risks, and report progress to stakeholders and leadership.

Pay and Benefits

Salary: USD 290,000 - 460,000 annually

Perks:Health Insurance401kEquityDisabilityHsaPaid LeaveLife Insurance

Key Requirements

•7+ years of technical program management experience.
•Domain experience in studio technology infrastructure, media production pipelines, or Generative AI/Machine Learning platform delivery.
•Experience managing programs involving large-scale data migration, cloud infrastructure (AWS, CoreWeave, GCP), and high-performance computing/rendering environments.
•Proven ability to drive large-scale software and infrastructure projects and define technical strategies for scalable long-term solutions.
•Strong communication skills to translate technical constraints and progress into clear business impact for different audiences.

Experience:7+ years

Skills:Cross-functional collaborationStakeholder communicationRisk managementTechnical strategySelf-starter

Tech Stack:AWSCoreWeaveGCPCloud infrastructureGenerative AIMachine learningLLMsAPIsHigh-performance computingRender nodes

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

4 months ago

Technical Program Manager 5 - Studio Production Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Los Angeles

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Mid level

Key Responsibilities

•Lead multiple complex, cross-functional technical programs for studio infrastructure, including hardware provisioning and cloud tenant setup, and large-scale data migration initiatives.
•Develop technical strategies for migrating and modernizing studio production environments, including handling large datasets across storage and cloud solutions.
•Scope and lead technical integration of third-party creative and infrastructure software onto Netflix corporate platforms.
•Identify high-value Generative AI/ML use cases and work with partners to productionize AI platform capabilities such as access to advanced LLMs/APIs.
•Translate requirements into execution plans with measurable milestones, manage cross-functional dependencies and risks, and report progress to stakeholders and leadership.

Pay and Benefits

Salary: USD 290,000 - 460,000 annually

Perks:Health Insurance401kEquityDisabilityHsaPaid LeaveLife Insurance

Key Requirements

•7+ years of technical program management experience.
•Domain experience in studio technology infrastructure, media production pipelines, or Generative AI/Machine Learning platform delivery.
•Experience managing programs involving large-scale data migration, cloud infrastructure (AWS, CoreWeave, GCP), and high-performance computing/rendering environments.
•Proven ability to drive large-scale software and infrastructure projects and define technical strategies for scalable long-term solutions.
•Strong communication skills to translate technical constraints and progress into clear business impact for different audiences.

Experience:7+ years

Skills:Cross-functional collaborationStakeholder communicationRisk managementTechnical strategySelf-starter

Tech Stack:AWSCoreWeaveGCPCloud infrastructureGenerative AIMachine learningLLMsAPIsHigh-performance computingRender nodes

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor