Product Operations Lead, Ads Platform

Netflix
New York
Workplace: OnsiteFull timeUSD 230,000 - 360,000 annuallyFunction: Business OperationsExperience: 8+ yearsSkills: ["Ownership","Organizational change","Enablement","Written communication","Cross-functional influence"]

Own the operating layer for the Ads Product Operations team, enabling an agentic transformation of the product development lifecycle. Modernize how work is prioritized, planned, ideated, validated, and coordinated with Engineering through agentic leverage. Author and maintain agentic plugins, skills, and integrations, improve enablement across Product, and continuously evaluate efficacy and quality using evals and benchmarks while stewarding transparent operating frameworks.

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FursaFursa
Netflix
Netflix
3 days ago

Product Operations Lead, Ads Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Own the operating layer for the Ads Product Operations team, enabling an agentic transformation of the product development lifecycle. Modernize how work is prioritized, planned, ideated, validated, and coordinated with Engineering through agentic leverage. Author and maintain agentic plugins, skills, and integrations, improve enablement across Product, and continuously evaluate efficacy and quality using evals and benchmarks while stewarding transparent operating frameworks.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Business Operations
Seniority: Mid level

Key Responsibilities

  • •Enable the agentic transformation of the product development lifecycle as part of Product Operations.
  • •Modernize lifecycle components (discovery, planning, ideation, validation, and engineering collaboration) through agentic leverage.
  • •Author, ship, and maintain plugins, skills, and integrations used by product teams.
  • •Land AI proficiency across the product organization through onboarding, hands-on labs, office hours, reusable enablement content, and power users.
  • •Steward operating frameworks across Product and Engineering, partner cross-functionally to embed agentic practice into everyday product work, and evaluate plugin/skill efficacy while monitoring for drift.

Pay and Benefits

Salary: USD 230,000 - 360,000 annually
Perks:Health Insurance401kEquityDisability ProgramsPaid LeaveLife BenefitsFlexible Spending

Key Requirements

  • •8+ years of experience in Product Operations, Product/Program Management, Software Engineering, Engineering Operations, or a closely related field, with a track record of operational change programs.
  • •Deep understanding of how product managers and engineering teams collaborate and where the product lifecycle breaks down in an Enterprise B2B environment.
  • •Working proficiency with GitHub and Git workflows (branches, pull requests, code review) with enough technical fluency to read code and reason about APIs and data.
  • •Demonstrated proficiency with modern agentic coding tools (Claude Code, Codex, Cursor, or comparable) and mult-agent workflows as core daily infrastructure.
  • •Hands-on experience authoring agentic capabilities beyond prompting (skills, plugins, agents, or equivalent).
Experience:8+ yearsAdvertising technologyEnterprise B2BAgentic AIConnected TV advertising
Skills:OwnershipOrganizational changeEnablementWritten communicationCross-functional influence
Tech Stack:GitHubGitGit workflowsGit branchesPull requestsCode reviewClaude CodeCodexCursorMult-agent workflowsAgentic pluginsAgentic skillsIntegrationsEmbeddingsRAGRetrieval qualityContext windowsPrompt designAPIsData

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
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Glassdoor: 4.1
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