Engineering Manager – Distributed Platforms & AI Ops

Pinterest; San Francisco (CA); Hybrid; USD 209,000 - 429,000; Full time

Benefits offered by this job

Equity

Job summary

Pinterest is seeking an Engineering Manager II, Runtime Services in the United States to shape strategy for two major platforms: a large-scale asynchronous job scheduling/execution system and an ML-driven anomaly detection and monitoring stack. You will lead roadmaps, drive automation, and grow a high-performing team while partnering with cross-functional groups to improve developer productivity.

You will apply AI judiciously to planning, exploration and documentation, ensuring accuracy,

Qualifications

• 9+ years in software engineering with distributed platforms.
• 2+ years of engineering management leading platform teams.
• Strong foundation in platform reliability, observability, Kubernetes or cloud infrastructure, data systems and developer experience.
• Understanding distributed systems, asynchronous execution, workflow orchestration and ML algorithms.
• Experience setting technical strategy and delivering improvements to scalability, efficiency or velocity.
• Ability to lead across platforms and collaborate with cross-functional partners.
• Clear communication, strong technical judgment, and people-focused leadership.
• Experience using AI to accelerate planning, analysis and execution with validation of accuracy, quality and security.
• Bachelor’s / Master’s degree in CS or related field or equivalent practical experience.

Responsibilities

• Establish the strategy, charter and operating model for a new team responsible for two major platforms.
• Lead the technical roadmap & evolution of these platforms, advancing automation and reliability.
• Build partnerships with teams to understand customer needs and drive adoption.
• Strengthen observability, incident response and service health across platforms.
• Hire, coach and grow a high-performing team with inclusive culture of ownership.
• Use AI to accelerate planning, technical exploration, documentation and operational analysis.

Skills

Distributed platforms

Backend systems

Anomaly detection algorithms

Engineering management

Platform reliability

Observability

Data systems

Developer experience

Machine learning for engineering

Leadership and people skills

AI in planning/execution

Communication skills

Technical judgment

Education

Bachelor’s / Master’s in CS or related field

Tools

Kubernetes

Cloud platforms (AWS/GCP/Azure)

Job description

Pinterest is seeking an Engineering Manager II, Runtime Services in the United States to shape strategy for two major platforms: a large-scale asynchronous job scheduling/execution system and an ML-driven anomaly detection and monitoring stack. You will lead roadmaps, drive automation, and grow a high-performing team while partnering with cross-functional groups to improve developer productivity.

You will apply AI judiciously to planning, exploration and documentation, ensuring accuracy,