Lead Product Manager - Marketing Platform (Remote - United States)

Company: Yelp

Location: Pittsburgh, PA (Remote)

Salary: $168,000 - $242,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-03-26

About this role

## Summary

Yelp is looking for a collaborative and innovative Lead Product Manager to develop and drive the strategy for our Marketing Platform. Your work will enable our marketing teams to reach and engage communities everywhere, using technology, data, and creative solutions. You’ll play a central role connecting product, marketing, engineering, and data teams so that we deliver real value to Yelp’s consumers and Local Businesses.

You’ll have the opportunity to lead the creation and execution of a product roadmap that aligns directly with Yelp’s marketing strategy and company goals. Your expertise will help Yelp maximize the impact of industry-leading marketing automation platforms and develop custom solutions that streamline workflows across teams.

This role is ideal for a creative leader who thrives in cross-functional environments, loves solving complex problems, values diverse perspectives, and enjoys transforming innovative ideas into real-world impact.

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

## What you'll do:

  • Partner with marketing leaders to build and lead a product roadmap that supports Yelp’s marketing strategy and company goals.
  • Use your experience with leading third-party marketing automation platforms (such as Salesforce Marketing Cloud or Braze) to maximize their value for our teams and customers.
  • Research and implement emerging technologies including machine learning and artificial intelligence, ensuring our marketing tools benefit from the latest advances.
  • Connect with specialist groups such as data analytics and machine learning/artificial intelligence teams to bring new solutions to market and support their successful ...

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