# Engineering Manager II, Runtime Services

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $208,592-$429,454 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8257181?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bfcf563b-fff

## Description

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

### Responsibilities

- 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.

### Requirements

- 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.

### Benefits

- Base salary range: $208,592-$429,454 USD

- Eligible for equity

## Skills

### Required
- distributed platforms
- backend systems
- algorithms
- anomaly detection
- platform reliability
- observability
- Kubernetes
- cloud infrastructure
- data systems
- developer experience
- machine learning algorithms
- workflow orchestration
- technical strategy
- AI

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8257181?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)