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Pinterest

Manager II, Engineering, Ads Serving Infrastructure

Pinterest
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hybrid senior full-time $208,454-$364,795 USD Palo Alto, CA

First indexed 6 Oct 2026

Description

Pinterest is seeking an Engineering Manager to lead the Ads Serving Platform team. The Ads Serving Manager leads the engineering team and platform responsible for delivering relevant ads reliably, efficiently, and at scale across Pinterest surfaces.

Responsibilities:

  • Build and lead a team of high-caliber software engineers.
  • Lead engineering team and technical strategy for high-throughput, low-latency ad serving platform.
  • Ensure platform reliability, high availability, and operational excellence across the end-to-end ad-request lifecycle.
  • Drive infrastructure performance, cost efficiency, and compliance controls while supporting business growth.
  • Improve developer productivity and platform flexibility for product and ML feature integrations.
  • Use AI to accelerate analysis, debugging, design exploration, and iteration while applying sound engineering judgment and validation.
  • Raise the quality bar through design reviews, code reviews, documentation, and operational excellence.
  • Mentor engineers and scale technical leadership across the organization.

Requirements:

  • Proven experience managing software engineering teams and building high-performance backend or infrastructure platforms.
  • Demonstrated success in hiring, performance management, career development, and fostering inclusive team environments.
  • Strong expertise in distributed systems, online serving, low-latency services, or infrastructure platforms.
  • Demonstrated ability to make sound tradeoffs across latency, reliability, scalability, cost, and developer experience.
  • Strong communication and collaboration skills with technical and cross-functional partners.
  • Proficiency in one or more programming languages such as Java, C++, Go, or Python.
  • Track record of meeting strict serving latency SLAs, operational targets, and optimizing cost-per-impression at scale.
  • Demonstrated ability to use AI to improve the speed and quality of day-to-day engineering workflows, with a rigorous approach to testing, validation, and responsible use.
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.

Preferred qualifications:

  • Experience with ads delivery, recommendation or search serving, retrieval, ranking, or experimentation systems.
  • Experience with serving-framework migrations, platform consolidation, or developer tooling.
  • Experience with observability, production debugging, traffic management, or incident response.

Benefits:

  • Salary range: $208,454-$364,795 USD
  • Equity eligibility
  • Hybrid work model (1-2 days in-office per week)
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/pinterest/jobs/7957635