Engineering Manager Ii, Programmatic Offsite Ads

Pinterest Pinterest · Consumer · San Francisco, CA · Monetization

Engineering Manager II for the Programmatic Offsite Ads team at Pinterest. This role will lead efforts to define, build, and evolve ad features for off-platform supply partnerships, focusing on advertiser performance and industry standards. The manager will own the strategy and roadmap, partner with various teams, lead experimentation, and collaborate with ML/infra teams. The role also involves managing a team of engineers and fostering an inclusive culture. Experience with large-scale distributed systems, programmatic advertising, and AI for workflow acceleration is required.

What you'd actually do

  1. Own the end‑to‑end strategy and roadmap for driving programmatic off-platform ads delivery, driving high‑quality outcomes which meet advertiser expectations.
  2. Partner closely with Product, Design, Research, Sales, Policy, and the broader Monetization org to define new product features, and advertising experiences that balance user delight, advertiser outcomes, and platform integrity.
  3. Lead experimentation and optimization of advertising campaigns, using A/B testing and rigorous measurement (e.g., viewability, engagement, conversion, advertiser performance, user sentiment) to drive continuous improvement.
  4. Work with external supply partners to ensure our off-platform ads are well‑supported in the programmatic ecosystem, and that Pinterest’s creatives adhere to performance standards.
  5. Collaborate with serving, infra, and ML teams to ensure that programmatic ads are backed by robust infrastructure, measurement, and policies

Skills

Required

  • BS (or higher) degree in Computer Science, or a related field.
  • 2-3+ years of relevant engineering management experience.
  • 3-4+ years of relevant industry experience within the ads domain
  • Experience designing or delivering high scale, real time distributed systems
  • Working knowledge of programmatic advertising and OpenRTB (DSPs/SSPs, auctions, targeting, measurement), and experience partnering with external platforms
  • Proven track record partnering with Product and Design to define new product features, run experiments, and use data to iterate on performance outcomes.
  • Rich experience working cross‑functionally to drive alignment, oversee execution, and secure deliverables across Product, Design, ML, Infra, Sales, and external partners.
  • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Experience mentoring, guiding, and upleveling engineers, including senior ICs
  • Strong communication skills and the ability to articulate product strategy and tradeoffs to both technical and non‑technical stakeholders.
  • Strong commitment to building inclusive teams and fostering a sense of belonging.

What the JD emphasized

  • high scale, real time distributed systems
  • programmatic advertising and OpenRTB
  • Build storage capabilities that efficiently support large-scale ML/AI workloads
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables