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Software Engineer, Advertiser Interfaces and Growth

 

Software Engineer, Advertiser Interfaces and Growth

San Francisco | California | United States

Pinterest is one of the fastest growing online advertising platforms and our success depends on our ability to help advertisers reach relevant pinners while optimizing pinner, partner, and company value. We're looking for a Product Architect to join our Ads Engineering Team to lead the implementation of ad products - including new ad offerings that scale our business and tools to help our advertisers realize the potential of our ads platform. You’ll be joining an early stage team that is growing quickly and laying the foundation for Pinterest’s business success. 

What you’ll do:

  • Architect and lead the implementation of ad products - including new ad offerings that scale our business and tools to help our advertisers realize the potential of our ads platform
  • Develop a breadth of knowledge across the stack and drive cross-functional teams to build high-quality products and systems.
  • Collaborate with Design, Product and Engineering teams to shape product design and specifications.
  • Collaborate with cross-functional leaders to shape the roadmap and vision of our ads product.

What we’re looking for:

  • 6+ years of software engineering experience
  • Experience leading a full-stack team to build products - you could be a CTO of a startup or a tech lead/architect at their current company
    • Architecting/leading projects spanning at least 5 people, ideally 10+ people, if coming from a larger company
  • Strong ads domain expertise - they will be collaborating with Product closely to inform the roadmap of our ads product.
  • Strong technical skills. Ability to dive into new stacks and codebases to form a deep understanding of our system.
  • Familiarity with many of the full-stack technologies we use at Pinterest:
    • Python/Java/JavaScript
    • Scala/Spark
    • Hive/Presto
    • React/Redux
    • Node
  • Data analysis and running experiments
  • Passion for owning and solving large ambiguous problems
  • Data-driven, comfortable across the stack, empathetic towards the product, and team-oriented

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