Engineering Manager II, Runtime Services
Pinterest · San Francisco, CA, US; Remote, US
About this role
## About Pinterest Millions of people around the world come to Pinterest to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, our mission is to bring everyone the inspiration to create a life they love—powered by the people behind the product. Pinterest also uses AI as a powerful partner to augment creativity and amplify impact. In interviews, we focus on how you think and how you explain your approach. --- ## Engineering Manager II, Runtime Services Millions of people across the world come to Pinterest to find new ideas every day. This role will help uphold that mission by leading teams and platforms that power large-scale runtime services. ### What you’ll do - 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 - 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 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 quality and correctness (e.g., AI for user onboarding, routine agentic evaluation of ongoing tasks). ### What we’re looking for - Minimum **9 years** of software engineering experience, including deep expertise in distributed platforms and solid familiarity with backend systems, with interest in algorithms in the 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 or a related technical field, or equivalent practical experience. --- ## Relocation & In-Office Requirements - **Relocation:** This position is **not eligible for relocation assistance**. - **In-office:** This role requires being in the office for **in-person collaboration 1–2 times/quarter** and can be situated anywhere in the country. **#LI-HYBRID** --- ## Pay Transparency (US bas
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