[Remote] Manager, Data Science & Engineering - Title & Launch Management

Note: The job is a remote job and is open to candidates in USA. Netflix is a global entertainment company that aims to push the boundaries of storytelling. They are seeking an experienced leader to guide a multidisciplinary team in developing data products and AI solutions to enhance content launch and distribution.ResponsibilitiesOversee 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 contentCoach, empower, and elevate a team of analytics engineers, data scientists, and machine learning practitioners, increasing their impact and supporting their career developmentCollaborate with a cross-functional team to shape the vision and roadmap for the area, prioritize and drive executionDefine and cultivate a high standard for both velocity and technical excellence, while nurturing a culture grounded in strong engineering and scientific rigorLeverage advanced technical skills and deep product and domain insight to surface new problem spaces and make bold, high-conviction decisionsCultivate durable partnerships with stakeholders across product, engineering, and content to align on long-term goals and jointly deliver outcomesAct as a visible leader and subject-matter expert, advocating for the team’s work and strengthening its reputation across and beyond NetflixSkillsProven track record of successfully leading data and ML-focused teams, with a strong emphasis on rigorous measurement and agentic/AI-driven solutionsDeep 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 servicesPassion for guiding teams through ambiguous, complex technical and business problems, bringing clarity, structure, and disciplined executionStrong track record of mentoring and developing talent, including successfully recruiting and growing researchers and engineers across multiple levelsMaster's or PhD in Machine Learning, Computer Science, or a closely related field6+ years of hands-on ML experience (or 4+ years with a relevant PhD)2+ years of experience leading ML teamsExceptional verbal and written communication skills, with the ability to influence and align diverse stakeholdersDeep commitment to driving end-to-end business impact, not just building modelsNetflix culture resonates with you, and you're excited to model and reinforce it within your teamBenefitsHealth PlansMental Health supportA 401(k) Retirement Plan with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending AccountsFamily-forming benefitsLife and Serious Injury BenefitsPaid leave of absence programsFull-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time offFull-time salaried employees are immediately entitled to flexible time offCompany OverviewNetflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.netflix.com.Company H1B SponsorshipNetflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.