Senior Manager, Engineering

Pinterest

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WAPalo Alto, CASan Francisco, CA
Salary
$208,592–$429,545 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $319k
$131k most similar roles pay here $462k

This role pays more than 91% of similar roles. Most pay $167,281–$248,406 — the shaded band above. At the midpoint, this role pays about $319k versus about $208k 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 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Senior Manager, Engineering

Sr. Manager, Engineering will lead a critical organization at the intersection of AI foundations, proactive experiences, and assistant product experiences. This leader is responsible for building and scaling teams, defining technical direction, and driving execution for next-generation AI-driven features. The role involves managing senior engineers and tech leads while overseeing workstreams involving LLM-powered systems, agentic workflows, orchestration, personalization, and generative AI infrastructure. Key responsibilities include developing foundational capabilities like model integration, user understanding, and evaluation frameworks to create context-aware experiences. The candidate must navigate complex technical landscapes including platform engineering and recommendation systems. Success requires partnering with Product, Design, Research, and Data Science teams to translate ambitious goals into scalable technical investments. The role focuses on solving the challenge of creating proactive, assistive features that better understand user intent and deliver personalized content across the product ecosystem.

What does a Engineering Manager earn in Washington?

Median $267050 from 35 postings across 10 companies.

See salary data

What you'll do

  • Define and drive technical strategy for AI foundations, LLM-powered systems, and agentic workflows.
  • Build and lead a high-performing engineering organization of senior engineers and technical leads.
  • Partner with Product, Design, and Data Science to translate product goals into scalable technical roadmaps.
  • Develop foundational AI capabilities including model integration, user understanding, and evaluation frameworks.
  • Drive execution on multi-year roadmaps to create reusable AI capabilities across the Pinterest ecosystem.
  • Establish engineering excellence standards for system reliability, security, privacy, and cost efficiency.
  • Coach managers and senior individual contributors to expand their scope and leadership impact.
  • Align technical investments with company goals by resolving trade-offs with executive leadership.

What we're looking for

  • Significant experience leading engineering teams in AI/ML, personalization, platform engineering, or consumer-facing AI systems at scale.
  • Proven success as a senior leader managing managers and technical leaders across complex, cross-functional spaces.
  • Track record of driving strategy and execution for large-scale organizations involving AI systems, generative AI, or platform capabilities.
  • Experience leading teams in areas such as LLM-powered systems, agentic workflows, orchestration, or proactive product experiences.
  • Demonstrated ability to lead through ambiguity and convert early-stage opportunities into clear roadmaps and team structures.
  • Strong technical depth in architecture, platform design, and model tradeoffs while maintaining high standards for engineering excellence.
  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • Experience with global scale consumer products or building AI assistants and proactive recommendation systems (preferred).

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