Netflix is seeking an experienced leader to guide a multidisciplinary team focused on data products, algorithms, and systems that enhance title launches. The role involves collaborating with cross-functional teams to automate content ingestion and drive operational excellence in content promotion.

• Proven track record of successfully leading data and ML-focused teams.
• Deep expertise in autonomous agentic systems and applied ML.
• Passion for guiding teams through ambiguous technical and business problems.
• Strong track record of mentoring and developing talent.
• Master’s or PhD in Machine Learning, Computer Science, or a closely related field.
• 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
• 2+ years of experience leading ML teams.
• Exceptional verbal and written communication skills.
• Deep commitment to driving end-to-end business impact.
• Alignment with Netflix culture.

• Oversee a diverse portfolio of end-to-end efforts to design, deploy, and evaluate autonomous AI solutions.
• Coach, empower, and elevate a team of analytics engineers, data scientists, and machine learning practitioners.
• Collaborate with a cross-functional team to shape the vision and roadmap.
• Define and cultivate a high standard for both velocity and technical excellence.
• Leverage advanced technical skills to surface new problem spaces.
• Cultivate durable partnerships with stakeholders across product, engineering, and content.
• Act as a visible leader and subject-matter expert.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.