Vp, Ads Quality Engineering

Pinterest Pinterest · Consumer · San Francisco, CA · Monetization

VP, Ads Quality Engineering to spearhead the AIML engineering division, leveraging data, machine learning, and generative AI to enhance Pinterest's ads delivery funnel. This role requires strong analytical skills, deep understanding of ML and generative AI, online auction dynamics, and experience leading large engineering teams to maximize monetization opportunities.

What you'd actually do

  1. Oversee a globally distributed team of 200+ AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterest’s monetization efforts.
  2. Provide both technical and organizational leadership to scale the team in response to evolving business demands.
  3. Manage and develop senior leadership within the team, including managers of managers and principal AI/ML experts, ensuring growth and continuous improvement at all levels.
  4. Partner closely with engineering and product leadership to shape and drive the execution of Pinterest's monetization strategy.
  5. Foster strong cross-functional (XFN) collaborations across multiple departments, including Sales, Business Operations, Data Engineering, and Core Services, to ensure cohesive efforts and optimal outcomes in monetization strategies.

Skills

Required

  • MSc or PhD degree in Economics, Statistics, Computer Science, or a related field
  • 15 years of relevant industry experience
  • 10 years of experience in managerial roles
  • Exceptional cross-functional (XFN) collaboration skills
  • strong capability in communication
  • Hands-on experience in designing and deploying large-scale machine learning systems
  • Strong analytical abilities
  • solid foundation in mathematical and statistical models

Nice to have

  • specific expertise in the Advertising domain

What the JD emphasized

  • minimum of 15 years of relevant industry experience
  • At least 10 years of experience in managerial roles
  • Hands-on experience in designing and deploying large-scale machine learning systems
  • specific expertise in the Advertising domain

Other signals

  • leading a team of 200+ AI/ML engineers
  • designing and deploying large-scale machine learning systems
  • maximizing Pinterest's monetization opportunities
  • enhancing Pinterest's ads delivery funnel