Senior Manager, Engineering - Delivery Serving Infrastructure

Pinterest

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Palo Alto, CASan Francisco, CA
Salary
$242,402–$429,545 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $336k
$119k most similar roles pay here $463k

This role pays more than 98% of similar roles. Most pay $152,000–$246,150 — the shaded band above. At the midpoint, this role pays about $336k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 48 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 42 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Senior Manager, Engineering - Delivery Serving Infrastructure

Sr. Manager, Engineering – Delivery Serving Infrastructure leads the Delivery Serving Infrastructure organization, overseeing framework foundations, developer experience, and core vertical infrastructure. This leader manages teams to drive system reliability, performance optimization, and infrastructure modernization while building agentic foundations, automated incident management workflows, and business intelligence agents. The role involves guiding the design of shared APIs, serving abstractions, and observability tools while mentoring senior engineers to improve technical judgment. Candidates must possess expertise in large-scale serving frameworks, low-latency execution, reliability engineering, and infrastructure efficiency. Key skills include managing developer experience initiatives and implementing automated regression suites to reduce on-call burden. The role addresses complex problems within recommendation, search, ads delivery, retrieval, ranking, experimentation, and other high-scale content delivery systems, utilizing AI tools to accelerate technical analysis, prototyping, and documentation while ensuring rigorous engineering standards.

What does a Engineering Manager earn in California?

Median $290250 from 62 postings across 17 companies.

See salary data

What you'll do

  • Lead and grow the Delivery Serving Infrastructure organization across framework foundations and developer experience teams.
  • Oversee infrastructure modernization initiatives and the continuous evolution of serving frameworks.
  • Drive system reliability, performance optimization, and efficiency through profiling and fleet upgrades.
  • Build agentic foundations, debugging capabilities, and automated incident management workflows for developers.
  • Partner with product leadership to develop high-leverage vertical infrastructure solutions and business intelligence agents.
  • Guide the design and adoption of shared APIs, serving abstractions, and observability tools.
  • Establish technical quality standards through architecture reviews and scalable engineering practices.
  • Mentor senior engineers and technical leaders to improve judgment and influence across the organization.

What we're looking for

  • Experience managing software engineering teams and leading infrastructure engineering organizations.
  • Deep knowledge of large-scale serving frameworks, low-latency execution, reliability engineering, and infrastructure efficiency.
  • Proven ability to lead developer experience initiatives, agentic infrastructure tools, and incident investigation workflows.
  • Demonstrated ability to move engineering orgs toward proactive resilience through testing frameworks, automated regression suites, and observability practices.
  • Strong systems and operational judgment regarding trade-offs between reliability, latency, scalability, product quality, and engineering velocity.
  • Experience with recommendation, search, ads delivery, retrieval, ranking, experimentation, or other high-scale content delivery systems.
  • Demonstrated ability to use AI to improve the speed and quality of day-to-day engineering work while critically evaluating AI-assisted output.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, a related technical field, or equivalent experience.

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