The Merchandising and Content Understanding Data Science and Engineering organization shapes how members discover and engage with Netflix. We build foundational algorithmic capabilities and agentic frameworks for content understanding that power merchandising, discovery, ratings, and a wide range of applications across Netflix.
We are seeking a Senior Manager to lead a group of Research Scientists, ML Engineers, Data Scientists, and Analytics Engineers focused on Multimodal Large Language Models (MLLMs) and agentic systems for deep, complex content understanding. In this role, you will own a multidomain portfolio, define strategy, and drive highimpact algorithmic systems that shape how Netflix represents and merchandises its catalog globally.
ResponsibilitiesDefine and execute a cohesive strategy for how MLLMs and agentic systems power deep, complex content understanding applications across Netflix.
Oversee endtoend initiatives spanning research, ML engineering, measurement science, and continuous improvement.
Manage and grow a multidisciplinary organization: attract and retain top talent across levels and disciplines; develop strong technical leaders and managers.
Shape the organizational structure, operating model, and interfaces between teams to maximize leverage, alignment, and velocity.
Partner closely with crossfunctional leaders to define longterm roadmaps for content understanding.
Bring deep, handson expertise in MLLMs and agentic systems to guide technical direction and strategic bets.
Establish best practices and elevate technical excellence for complex algorithmic and agentic systems operating at Netflix scale.
Act as a key thought leader in the broader Netflix ML community - sharing learnings, mentoring leaders, and raising the bar across the company.
About youProven track record leading multidisciplinary, highly technical algorithmic teams with responsibility across multiple domains or subteams.
Experience operating at a seniormanager (or equivalent) level, including setting orglevel strategy, managing managers and technical leads, and influencing crossorganizational priorities.
Demonstrated experience taking advanced MLLM and agentic systems from research to production and continuously improving those systems postlaunch at scale.
Skilled at bringing structure to highly ambiguous, fastevolving problem spaces; able to connect longterm bets in foundational models and agentic systems with nearterm product use cases and business value.
Strong record of recruiting, mentoring, and developing senior ICs, tech leads, and managers; known for building inclusive, hightrust, highperformance cultures where people do the best work of their careers.
Exceptional verbal and written communication skills; adept at sharing compelling visions and shaping decisions that affect multiple organizations.
Masters or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent practical experience).
6+ years of handson ML experience (or 4+ years with a relevant PhD), including substantial work in modern deep learning.
3+ years leading ML teams, with at least 12 years managing multiple teams or leaders (e.g., senior manager, group lead, or equivalent).
Deeply committed to delivering endtoend business impact.
Netflix culture resonates with you.
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 $676,000.00 - $1,195,000.00. 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.
