Engineering Manager II, Runtime Services

Pinterest•San Francisco, CA

2h•$208,592 - $429,454•Hybrid

About The Position

Pinterest is hiring an Engineering Manager II to establish the strategy, charter, and operating model for a new team responsible for two major platforms: Pinterest’s large-scale asynchronous job scheduling and execution platform, and its anomaly detection, root-cause analysis, and ML monitoring platform. The manager will lead the technical roadmap and evolution of these platforms, advancing automation, self-service onboarding, resource efficiency, and reliability. The role partners with teams across Pinterest to understand customer needs, drive adoption, and deliver measurable improvements in developer productivity and data-driven decision-making. It also strengthens operational excellence through improvements to observability, incident response, service health, documentation, and engineering practices. The manager will hire, coach, and grow a high-performing team and establish an inclusive culture of ownership, learning, and continuous improvement. The role uses AI to accelerate planning, technical exploration, documentation, and operational analysis, with sound judgment and verification to ensure quality and correctness. The position can be based anywhere in the United States and requires in-office collaboration 1–2 times per quarter. It is not eligible for relocation assistance. The US base salary range is $208,592–$429,454, and the position is also eligible for equity.

Requirements

At least 9 years of software engineering experience, including deep expertise in distributed platforms, solid familiarity with backend systems, and interest in algorithms in the anomaly detection domain.
At least 2 years of engineering management experience leading strong platform and backend highly available engineering teams.
Strong technical foundation in platform reliability, observability, Kubernetes or cloud infrastructure, data systems, and developer experience.
Deep understanding of distributed systems, asynchronous execution, and workflow orchestration, and passion for machine learning algorithms.
Experience setting technical strategy and delivering meaningful improvements to platform scalability, operational efficiency, customer adoption, or engineering velocity.
Ability to lead work across platforms and collaborate effectively with cross-functional partners.
Clear communication skills, strong technical judgment, and a people-focused leadership approach.
Experience using AI to accelerate engineering planning, analysis, and execution, with a clear approach to validating accuracy, quality, and security.
Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent practical experience.

Responsibilities

Establish the strategy, charter, and operating model for a new team responsible for the asynchronous job scheduling and execution platform and the anomaly detection, root-cause analysis, and ML monitoring platform.
Lead the technical roadmap and evolution of both platforms, advancing automation, self-service onboarding, resource efficiency, and reliability.
Build partnerships across Pinterest to understand customer needs, drive adoption, and deliver measurable improvements in developer productivity and data-driven decision-making.
Improve observability, incident response, service health, documentation, and engineering practices across both platforms.
Hire, coach, and grow a high-performing team while establishing an inclusive culture of ownership, learning, and continuous improvement.
Use AI to accelerate planning, technical exploration, documentation, and operational analysis, verifying the quality and correctness of outcomes.