Engineering Manager, Ads Serving Platform

Emploive; Palo Alto, Northern (CA, KY); Hybrid; USD 208,000 - 365,000; Full time

Job summary

Pinterest is seeking an Engineering Manager to lead the Ads Serving Platform team, responsible for delivering relevant ads reliably and at scale across Pinterest surfaces. You will guide a team of engineers, shape technical strategy, and collaborate with Ads and Core teams to modernize frameworks for faster product iteration.

This role emphasizes reliability, cost efficiency, and developer productivity, with opportunities to integrate AI to accelerate analysis and iteration while maintaining

Qualifications

• Proven experience leading software engineering teams and building high-performance backend or infrastructure platforms.
• Strong experience in hiring, performance management, and fostering inclusive team environments.

Responsibilities

• Build and lead a team of high-caliber software engineers. You'll be responsible for hiring, performance management, career development, and fostering an inclusive, high-output team culture.
• 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.

Skills

Engineering leadership

Distributed systems

Low latency

Backend platforms

Hiring

Java

C++

Go

Python

Education

Bachelor's degree in Computer Science

Job description

Pinterest is seeking an Engineering Manager to lead the Ads Serving Platform team, responsible for delivering relevant ads reliably and at scale across Pinterest surfaces. You will guide a team of engineers, shape technical strategy, and collaborate with Ads and Core teams to modernize frameworks for faster product iteration.

This role emphasizes reliability, cost efficiency, and developer productivity, with opportunities to integrate AI to accelerate analysis and iteration while maintaining