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Engineering Manager II, Machine Learning - User Understanding

  • Palo Alto, California, United States / San Francisco, California, United States / Seattle, Washington, United States
  • Engineering
  • Regular
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About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

Pinterest helps people Discover and Do the things they love. We have more than 450M monthly active users who actively curate an ecosystem of more than 330B Pins on more than 7B boards, creating a rich human curated graph of immense value.

Pinterest builds an internet scale personalized recommendation engine in 35 languages, which requires a deep understanding of the users and content on our platform. As an engineer manager for the user understanding team, you will be responsible for developing horizontal user understanding signals, from modeling to serving, and adopting them for various recommendation systems in Pinterest.

What you’ll do:

  • Manage a horizontal team of talented and dedicated ML and backend engineers to build the foundational user understanding features to be used across all Pinterest ecosystems
  • Utilize state of the art algorithms/industry best practice to build and improve user understanding signals
  • Partner with other engineering teams and sales & marketing team to discover future opportunities to improve content recommendation on Pinterest
  • Hire new engineers to expand the team

What we’re looking for:

  • 7+ years of industry experience
  • 1+ years of experience leading projects/ teams either as EM for one or multiple of the following use cases with large scale: ads targeting, search and discovery, growth, content/user understanding
  • Hands-on experience working with ML algorithm development and productization.
  • Experience working with PMs and XFN partners on E2E systems and moving business metrics
  • Experience with Generative AI and LLM are a plus

This position is not eligible for relocation assistance.



At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$159,000—$278,000 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify for support.

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