Manager, Engineering - Ads Measurement

Netflix Netflix · Big Tech · Warsaw, Poland · Engineering

Manager, Engineering for Netflix's Ads Measurement team, focusing on building and leading software engineering teams to develop advanced ad tech systems for their ad-supported tier. The role involves driving product strategy, hiring talent, and ensuring the execution of large, complex projects within the advertising marketplace.

What you'd actually do

  1. Drive success in a fast paced, flat organization with minimal process and a heavy emphasis on ownership.
  2. Support your team by contextualizing the larger vision, enabling prioritization and fostering high focus and executional excellence.
  3. Operate as an ambassador of the Netflix Culture
  4. Create a dream team by hiring, retaining, and growing high performing talent.

Skills

Required

  • 10+ years of total experience
  • 3+ years of management experience
  • strong product mindset
  • experience in delivering large complex projects
  • collaborating with a variety of cross-functional stakeholders
  • General understanding of the advertising marketplace and landscape
  • Strong analytical and strategic thinking
  • demonstrated product sense and leadership

Nice to have

  • Proven experience building scalable platform foundations that govern how data is exchanged, configured, and controlled across organizational boundaries.
  • Expertise in developing batch orchestration frameworks and shared tooling that abstract partner-specific logic into standardized integration layers and reusable components.
  • Familiarity with legal compliance and changing landscape of ads regulations around the world.
  • Familiarity with ML and advertising systems that leverage data to drive optimal outcomes for the users and the business.
  • Experience working in the CTV space and knowledge of its unique constraints
  • Awareness of ads industry technology standards (e.g. VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
  • Strong understanding of privacy-forward data collaboration techniques and secure identifier handling across third-party ecosystems.
  • Demonstrated ability to grow engineering teams in emerging domains while serving as the technical and operational point of contact for complex vendor ecosystems.

What the JD emphasized

  • building and leading diverse software engineering teams
  • delivering large complex projects