Manager, Applied AI - Title Launch Management

Netflix
Los Angeles
Full timeFunction: Data Science & Machine LearningSkills: ["Leadership","Coaching","Communication","Cross-functional collaboration","Prioritization"]

Lead Netflix’s Title and Launch Management (TLM) Data Science and Engineering team to make title launches faster, safer, and more scalable. Oversee end-to-end initiatives that build evaluation pipelines, safety guardrails, feedback loops, and data infrastructure using real-user data. Manage and develop machine learning scientists and data engineers, and partner with Product and Engineering to drive rollout strategy, improve reliability, and automate resolution across global launch workflows.

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FursaFursa
Netflix
Netflix
1 day ago

Manager, Applied AI - Title Launch Management

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Lead Netflix’s Title and Launch Management (TLM) Data Science and Engineering team to make title launches faster, safer, and more scalable. Oversee end-to-end initiatives that build evaluation pipelines, safety guardrails, feedback loops, and data infrastructure using real-user data. Manage and develop machine learning scientists and data engineers, and partner with Product and Engineering to drive rollout strategy, improve reliability, and automate resolution across global launch workflows.
Location: Los Angeles
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Oversee a portfolio of end-to-end initiatives advancing Netflix’s title launch strategy and supporting a growing content slate.
  • •Lead development of rigorous, scalable evaluation pipelines and safety guardrails to monitor launch speed, diversity, technical spec compliance, and risk across the global catalog.
  • •Design feedback loops and data infrastructure to continuously bring high-quality real-user data into evaluation and training pipelines.
  • •Coach, hire, and develop a team of machine learning scientists, analytics engineers, and data engineers, fostering agile development and robust software engineering practices.
  • •Partner with Product Management, Launch Operations, Partner Integration Managers, and engineering teams to shape strategy, drive execution, deliver rollout plans, and improve reliability from ingest to being live and healthy on service.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityPaid Leave

Key Requirements

  • •3+ years of direct management experience shipping production-grade AI/ML software with measurable business impact and building high-performing, inclusive teams.
  • •Proficiency in software engineering fundamentals and LLMs, RAG, and agentic architectures.
  • •Strong track record designing and implementing evaluation pipelines for AI/ML products, including safety guardrails, feedback loops, and continuous model improvement.
  • •Familiarity with ML evaluation methodologies such as offline metrics, online experiments, and human evaluation, and integrating them into continuous improvement processes.
  • •Experience introducing automation into established operational workflows, including human-in-the-loop handoff and change management with the teams whose work is being automated.
Skills:LeadershipCoachingCommunicationCross-functional collaborationPrioritization
Tech Stack:LLMsRAGAgentic architecturesPyTorchTensorFlowMetaflowLangGraphDSPyAgent SDKVector databasesMLOps

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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