Technical Program Manager 5 – Engagement Intelligence

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Drive early-stage, high-ambiguity programs spanning generative AI product experiences, new interaction modalities, and new discovery surfaces from concept through production • Support mature, highly cross-functional initiatives within Engagement Intelligence • Set milestones, manage dependencies, and align engineering, applied science, product, and partnerships teams around shared plans • Coordinate with external device, platform, and distribution partners on integration timelines, technical requirements, and joint delivery milestones • Support content expansion into new formats and modalities as Netflix's catalog grows beyond traditional video • Weigh technology, cost, and business priorities and help teams make tradeoffs • Apply knowledge of the ML project lifecycle to plan paths from prototype to production • Build program rituals including roadmaps, status updates, risk reviews, and launch readiness • Write status updates, decision documents, and alignment artifacts for engineers through senior leadership

🎯 Requirements

• 8–10+ years in technical program management or equivalent roles • Track record driving multi-team, ambiguous programs at senior scope • Track record building alignment and driving decisions across broad internal and external stakeholder groups without formal authority • Comfort operating in high ambiguity and structuring 0-to-1 efforts • Judgment to weigh technical, business, and cost tradeoffs • Working knowledge of the ML project lifecycle, including online and offline stages, and productionization • Excellent written and verbal communication • Track record producing clear, decision-ready documents for engineers and senior leadership • Experience with generative AI product development preferred • Experience with search, discovery, or conversational/voice product programs and external partner coordination preferred • Experience supporting content or catalog expansion into new formats and modalities preferred • Background at a consumer-scale company with AI-driven products preferred

🏖️ Benefits

• Annual salary with the option to choose the mix of salary versus stock options • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time salaried employees are immediately entitled to flexible time off