Manager, Identity and Signals - Ads Dse

Netflix Netflix · Big Tech · United States · Remote · Data & Insights

Manager for Netflix's Ads Identity and Signals team, focusing on developing Identity Science capabilities and extracting signals for ad optimization models. This role involves leading ML Scientists and Data Scientists to drive business use cases like ad measurement, attribution, targeting, and ad ranking/bidding systems.

What you'd actually do

  1. Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.
  2. Lead strong partnerships with stakeholders from across the business - from product management, engineering, consumer insights, content, and strategy.
  3. Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
  4. Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
  5. Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.

Skills

Required

  • Demonstrated tenacity, resilience, and leadership experience
  • Quantitative and qualitative assessment of complex systems
  • High EQ and ability to be a product ambassador
  • Player-coach mentality (strategy and execution)
  • Superb communication skills (working relationships, writing, presentations)
  • Experience building and leading hybrid Data Science and ML teams in the Ads space
  • Capacity to translate business objectives into actionable analyses
  • Use analytics to guide product and business with quantitative recommendations

Nice to have

  • A passion for TV and movies and defining the future of entertainment.

What the JD emphasized

  • Experience building and leading hybrid Data Science and ML teams in the Ads space.

Other signals

  • developing and advancing our Identity Science capabilities
  • extracting and integrating valuable signals from diverse sources into our core ad optimization models
  • ad measurement and attribution, targeting and audience solutions, and the continuous evolution of our ad ranking and bidding systems