At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Opportunity

Netflix's mission is to entertain the world by connecting members with stories they'll love. With over 270 million members in 190+ countries, our product helps people quickly find something great to watch. At the heart of this experience is the AI for Member Systems (AIMS)organization, responsible for developing and operating the AI systems that power recommendations, personalization, search, discovery, and messaging.

Within AIMS, the AI Applications organization builds and evolves AI-driven member experiences across multiple product surfaces—Recommendations, Search, Messaging, and more. As Netflix expands into new content types and GenAI-powered experiences, we need a dedicated Technical Program Manager to drive cross-cutting programs that span multiple teams, surfaces, and content verticals.

This TPM will be a force-multiplier across AI Applications teams—owning planning, execution, and cross-org alignment for a set of high-impact initiatives. You'll work in a fast-moving, technically complex environment where AI/ML models, infrastructure, experimentation, and product experiences intersect.

What You'll Do

• Drive Cross-Team AI Programs: Lead end-to-end coordination for complex, multi-team initiatives that span AI models, infrastructure, experimentation, and product integration.

• Own Planning & Execution: Define and track milestones, manage dependencies, and ensure alignment across engineering, applied science, product, and infrastructure partners.

• Navigate Ambiguity: Operate effectively in evolving problem spaces where requirements, timelines, and product definitions are still maturing—bringing clarity and structure without over-engineering process.

• Manage Complex Stakeholder Maps: Work across multiple EMs, PMs, data scientists, and applied science leads to create accountability, surface risks, and drive decisions.

• Establish Operational Excellence: Build and refine lightweight program rituals (roadmapping, status updates, risk reviews, launch readiness) that improve execution consistency and visibility for AI-heavy launches.

• Bridge Product & Infrastructure: Connect the dots between product-facing teams and foundational/platform teams, ensuring AI capabilities are well-integrated and dependencies are managed.

• Communicate Clearly: Produce concise status updates, decision documents, and alignment artifacts for stakeholders ranging from engineers to senior leadership.

What We're Looking For

• Technical Program Management Experience: 6–8+ years in technical program, engineering, or product roles, with significant time as a TPM or equivalent driving multi-team programs.

• Experience at Scale: Background working within large engineering organizations on complex programs with both infrastructure and product components.

• Stakeholder Management: Proven ability to work across engineering, science, PM, and data teams in ambiguous contexts—building alignment and driving decisions without formal authority.

• Strong Communication: Excellent written and verbal skills; able to produce clear status updates, decision docs, and alignment artifacts for diverse audiences.

• Comfort with Technical Complexity: Ability to engage credibly with technical teams and understand system-level trade-offs, even if not writing code yourself.

Preferred Qualifications

• Familiarity with AI/ML systems—recommender systems, search/ranking, experimentation, or LLM/GenAI productization.

• Background at consumer-scale companies with AI-driven products (streaming, social, marketplaces, ads).

• Experience launching new content verticals or navigating high-ambiguity product spaces.

• Exposure to LLM post-training (fine-tuning, RLHF/RLAIF, evals) or central ranking/relevance teams.

• Comfortable in high-autonomy environments; skilled at building lightweight structure without over-engineering process.

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 $290,000.00 - $460,000.00. This compensation range will vary based on location.

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. Learn more here.

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. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.