Engineering Manager I, Innovative Ad Formats

Pinterest Pinterest · Consumer · San Francisco, CA · Monetization

Engineering Manager to lead a team building and supporting Pinterest's mid-funnel ad products, driving technical direction and execution. The role involves applying AI to accelerate prototyping, experimentation, and iteration, as well as championing AI adoption in developer workflows to improve engineering velocity. The manager will also use AI to synthesize complex inputs for decision-making and serve as the engineering owner for the workstream, defining the technical roadmap and architecture.

What you'd actually do

  1. Lead an engineering team delivering mid-funnel ad products end to end, ensuring projects are well-scoped, de-risked, and shipped on time with strong performance against target metrics.
  2. Drive initiatives to apply AI across mid-funnel ad products, using AI to accelerate prototyping, experimentation, and iteration while maintaining quality and safety.
  3. Champion AI adoption in developer workflows, using AI to automate repeatable tasks (e.g., testing, documentation, code reviews) and improve engineering velocity and capacity.
  4. Use AI to synthesize complex inputs (metrics, experiments, user feedback, incidents) into clear insights that inform roadmap, tradeoffs, and technical decisions.
  5. Serve as the engineering owner for this workstream: define the technical roadmap, architecture, and long-term vision in partnership with cross-functional partners (PM, Design, DS, PMM).

Skills

Required

  • 5+ years of industry experience building complex and user-facing products, with clear accountability for timelines, quality, and business impact.
  • 1+ years of experience leading or managing engineering teams, including setting direction, driving execution, and supporting team members’ growth.
  • Demonstrated experience using AI to improve speed and quality in your day-to-day engineering workflow (e.g., prototyping, code generation, test creation, documentation), with a clear approach to validating accuracy and robustness.
  • Strong track record of critically evaluating AI-assisted work through testing, source-checking, data validation, and peer review; you know when to trust, when to verify, and when to override.
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain fully accountable for final decisions, shipped systems, and team outcomes.
  • Strong hands-on technical background in ads or similarly high-scale domains, including designing and implementing core components in production.
  • Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.

What the JD emphasized

  • apply AI across mid-funnel ad products
  • using AI to accelerate prototyping, experimentation, and iteration
  • Champion AI adoption in developer workflows
  • using AI to automate repeatable tasks
  • Use AI to synthesize complex inputs
  • critically evaluating AI-assisted work through testing, source-checking, data validation, and peer review
  • protect sensitive data, avoid over-reliance on AI, and remain fully accountable for final decisions, shipped systems, and team outcomes