Engineering Manager II, Runtime Services

Pinterest • San Francisco, CA

12d • Hybrid

About The Position

The Engineering Manager II, Runtime Services will 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 role will lead the technical roadmap and evolution of these platforms, advancing automation, self-service onboarding, resource efficiency, and reliability.

The manager will partner with teams across Pinterest to understand customer needs, drive adoption, and deliver measurable improvements in developer productivity and data-driven decision-making. They will strengthen operational excellence through improvements to observability, incident response, service health, documentation, and engineering practices, while hiring, coaching, and growing a high-performing team and fostering an inclusive culture of ownership, learning, and continuous improvement.

The role also uses AI to accelerate planning, technical exploration, documentation, and operational analysis, applying sound judgment and verification to ensure quality and correctness. The position requires in-office collaboration 1–2 times per quarter and can be based anywhere in the country. It is not eligible for relocation assistance.

Requirements

• At least 9 years of software engineering experience.
• 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 an 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 asynchronous job scheduling and execution, anomaly detection, root-cause analysis, and ML monitoring platforms.
• Lead the technical roadmap and evolution of the platforms, advancing automation, self-service onboarding, resource efficiency, and reliability.
• Partner with teams across Pinterest to understand customer needs, drive adoption, and improve 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 fostering an inclusive culture of ownership, learning, and continuous improvement.
• Use AI to accelerate planning, technical exploration, documentation, and operational analysis, validating the quality and correctness of outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager