Product Manager - Ads - Targeting, Delivery, and Data Mining

Yelp’s products are used by millions of people every day. Its business product are critical to millions of small business owners, and over 150,000 paying advertisers. We’re looking for a PM to help us build and optimize the best local advertising products in the world. The US online advertising market is $148B. Yelp’s share is $700M a year and growing fast - our advertisers are largely small-to-medium businesses looking to get more customers.

Our advertising system delivers billions of impressions and millions of relevant leads every month. If you are looking to own the products and systems that are core to Yelp’s business products and revenue, this role is for you.

What You Will Do:

  • Work with our all-star engineering team to implement and roll out new paid products and features - examples include building new targeting or delivery capabilities for our advertisers, working with our sales teams and machine learning engineers to craft which businesses we sell to, or working on a new way of modeling relevance into our ad system
  • You’ll be working closely with engineering teams that are deep into machine learning and infrastructure, working on some of the most critical and data-driven parts of the business
  • Communicate roadmaps and feature releases to executive, sales, business marketing, and other stakeholders at Yelp
  • Manage the analyze/build/test/release process end-to-end
  • Identify, analyze, and prioritize new features and issues

We Are Looking For:

  • Experience working with engineering and/or data teams for 2+ years.
  • Experience within the ads industry is a huge plus
  • Excellent data mining and/or analytical skills
  • We expect you to be steeped in your products data sources and metrics.
  • We expect you to roll up your sleeves and be comfortable access and querying our logs and data warehouses
  • User empathy: Sure, you’re trying to figure out where next to apply a gradient boosted model - but you understand that you’re building products for non-technical users and business owners
  • A passion for daily release cycle!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

*LI-MS1

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