Data Science & Engineering Senior Manager - Title & Launch Management

Netflix is a company dedicated to entertaining the world by merging creativity, intuition, and cutting-edge technology. They are seeking a Senior Manager for Data Science & Engineering to lead a multidisciplinary team that drives operational and creative excellence in content launch and promotion through advanced analytics and AI solutions.

Responsibilities:

• Oversee a diverse portfolio of end-to-end efforts to design, deploy, and rigorously evaluate autonomous AI solutions, advancing Netflix’s title launch strategy and supporting our rapidly expanding slate of content
• Coach, empower, and elevate a team of analytics engineers, data scientists, and machine learning practitioners, increasing their impact and supporting their career development
• Collaborate with a cross-functional team to shape the vision and roadmap for the area, prioritize and drive execution
• Define and cultivate a high standard for both velocity and technical excellence, while nurturing a culture grounded in strong engineering and scientific rigor
• Leverage advanced technical skills and deep product and domain insight to surface new problem spaces and make bold, high-conviction decisions
• Cultivate durable partnerships with stakeholders across product, engineering, and content to align on long-term goals and jointly deliver outcomes
• Act as a visible leader and subject-matter expert, advocating for the team’s work and strengthening its reputation across and beyond Netflix

Requirements:

• Proven track record of successfully leading data and ML-focused teams, with a strong emphasis on rigorous measurement and agentic/AI-driven solutions
• Deep expertise in autonomous agentic systems and applied ML, with a demonstrated commitment to staying current on the latest research and having led teams that launch and iterate on production ML services
• Passion for guiding teams through ambiguous, complex technical and business problems, bringing clarity, structure, and disciplined execution
• Strong track record of mentoring and developing talent, including successfully recruiting and growing researchers and engineers across multiple levels
• 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, with the ability to influence and align diverse stakeholders
• Deep commitment to driving end-to-end business impact, not just building models
• Netflix culture resonates with you, and you're excited to model and reinforce it within your team