About The Position

This PM will be responsible for developing ads scoring and ranking models at Netflix. In this role they will: Improve ad relevance for Netflix members and drive better advertiser performance by building state-of-the-art ads recommendation ML models and launching them as scalable products. Define and communicate a clear vision, strategy, and roadmap for ads scoring and ranking that is aligned with Netflix Ads’ broader business goals Deliver innovative solutions that empower advertisers and improves user experiences. Partner with Engineering and Data Science to define robust evaluation metrics for ads ranking systems and auction models. Leverage data and analytics to uncover growth opportunities, evaluate performance, and make informed decisions about existing or new ad products. Operate with an agile mindset, willing to rapidly prototype, test and improve our product offering. Define how we will measure the success and effectiveness of our products, and drive the execution and continuous evaluation of those metrics.

Requirements

  • 7+ years of Product Management experience with a proven record of successfully launching and scaling platforms.
  • Experience shipping 0 to 1 ML models and ad auction infrastructure that deliver significant and measurable impact.
  • Prior ads experience (ideally supply-side) is a must. Prior experience with scoring/ranking models and/or instream video ads is a strong plus.
  • Proven ability to work across cross-functional teams and influence stakeholders at all levels of the organization.
  • A track record of analyzing customer feedback, market trends and competitor offerings to identify opportunities for product innovation.
  • A curious mindset and a willingness to adapt and adjust in a fast-paced rapidly changing environment.

Responsibilities

  • Improve ad relevance for Netflix members
  • Drive better advertiser performance by building state-of-the-art ads recommendation ML models and launching them as scalable products.
  • Define and communicate a clear vision, strategy, and roadmap for ads scoring and ranking
  • Deliver innovative solutions that empower advertisers and improves user experiences.
  • Partner with Engineering and Data Science to define robust evaluation metrics for ads ranking systems and auction models.
  • Leverage data and analytics to uncover growth opportunities, evaluate performance, and make informed decisions about existing or new ad products.
  • Operate with an agile mindset, willing to rapidly prototype, test and improve our product offering.
  • Define how we will measure the success and effectiveness of our products, and drive the execution and continuous evaluation of those metrics.

Benefits

  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service