As a Pinterest employee, you'll be challenged to take on work that upholds the mission and pushes Pinterest forward.

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.
Lead the technical roadmap and evolution of these platforms, advancing automation, self-service onboarding, resource efficiency, and reliability.
Build strong partnerships with teams across Pinterest to understand customer needs, drive adoption, and deliver measurable improvements in developer productivity and data-driven decision-making.
Strengthen operational excellence across both platforms by improving observability, incident response, service health, documentation, and engineering practices.
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, applying sound judgment and verification to ensure the quality and correctness of final outcomes.

Minimum 9 years of software engineering experience, including deep expertise in distributed platforms and solid familiarity with backend systems and interest in algorithms in anomaly detection domain.
Minimum 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, 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/Master's degree in Computer Science, a related technical field, or equivalent practical experience.

Engineering Manager II, Runtime Services

Skills