Manager, Applied AI - Title Launch Management

What you will do

Oversee a diverse portfolio of end-to-end initiatives that advance Netflix’s title launch strategy and support our rapidly growing content slate.

Lead the team in developing rigorous, scalable evaluation pipelines and safety guardrails to monitor launch speed, content and format diversity, technical spec compliance, and risk across our global catalog; analyze production failures and drive systematic improvements to model and workflow reliability.

• Guide the team in designing feedback loops and data infrastructure that continuously bring high-quality real-user data into evaluation and training pipelines to improve performance over time.
• Coach, hire and develop a team of machine learning scientists, analytics engineers, and data engineers, fostering an agile, high-quality development culture grounded in robust software engineering practices.
• Partner closely with Product Management, Launch Operations, Partner Integration Managers, and multiple Engineering teams to identify opportunities, shape strategy, define roadmaps, drive execution, and deliver well-structured rollout plans.
• Cultivate durable partnerships across product, engineering, and operations; communicate complex ideas clearly to various audiences; connect the dots across teams; and influence priorities beyond your immediate domain to jointly deliver outcomes.
• Foster a culture of ownership and timely, reliable delivery against the roadmap while acting as a trusted technical advisor who balances business goals with strong engineering practices and continuous improvement.
• Create an environment where everyone feels empowered, accepted, and respected, and where diverse perspectives are actively encouraged and valued.

What we are looking for

3+ years of direct management experience shipping production-grade AI/ML software with measurable business impact, building and managing high-performing, inclusive teams, attracting top talent, fostering accountability, and ensuring all voices inform decisions.

• Proficiency in software engineering fundamentals and LLMs, RAG, and agentic architectures
• Strong track record of designing and implementing evaluation pipelines for AI/ML products. Experience building safety guardrails to manage business risk and feedback loops for continuous improvement of models
• Familiarity with ML evaluation methodologies (e.g., offline metrics, online experiments, human evaluation) and integrating them into continuous improvement processes.
• Experience introducing automation into an established operational workflow earning operator trust, designing the human-in-the-loop handoff, and managing the change with the teams whose work is being automated.
• Cultivate open communication, empowering team members to give feedback and recognize achievements and growth areas.
• Strong product mindset; can translate high-level goals into clear team priorities and plans.
• Skilled at prioritizing and aligning team efforts with business objectives, able to adjust direction based on impact and new information.
• Effective collaborator who builds productive cross‑functional partnerships with product and engineering.
• Uses data, feedback, and small experiments to reduce ambiguity and make sound decisions.
• Communicates clearly with their team, stakeholders, and global partners.

Nice to have

Experience in the media technology domain (e.g. content processing, digital asset workflows, creative tools)

Technical proficiency with hands-on experience across the AI/ML lifecycle—ranging from traditional frameworks and MLOps platforms (e.g., PyTorch, TensorFlow, Metaflow) to modern LLM orchestration, agentic frameworks (e.g., LangGraph, DSPy, Agent SDK), and vector databases.

Pay and benefits

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $436,000.00 - $710,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.