Senior Product Manager, Scalability & Compute
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About the role
Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer's toolbox, and are building the team that will make that happen. Our values guide us -they are present in how we show up, make decisions, and work together to make an impact. We're curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! As the Senior Product Manager focused on worker scalability & compute, you will own how developers deploy, host, and scale Temporal workers. You'll shape the compute runtime story for Temporal, from self-managed Kubernetes deployments to fully serverless execution. This role directly impacts developer experience: how easy it is to get workflows running, version them safely, and scale them automatically.
Responsibilities
- Own the roadmap for worker deployment options, including self-hosted and serverless execution models
- Lead worker versioning initiatives to enable safe, zero-downtime code deployments with excellent developer experience
- Evolve the Temporal Worker Controller for Kubernetes to provide worker management capabilities to the Kubernetes ecosystem
- Define the path for serverless worker execution, removing infrastructure management from the developer experience entirely
- Partner with engineering to improve worker tuning, resource efficiency, and scaling behavior across diverse compute environments
- Collaborate with customers and community to understand worker deployment pain points and validate solution directions
- What You Bring
- Strong background in compute platforms: serverless (Lambda, Cloud Run, App Engine), container orchestration (Kubernetes, ECS), or similar infrastructure
- Experience with Version Control, Continuous Integration, and Continuous Deployment systems
- Experience building developer-facing products where deployment simplicity and operational excellence are key differentiators
- Familiarity with autoscaling systems, workload scheduling, and resource optimization at scale
- Understanding of code versioning, deployment strategies, and the developer experience challenges of long-running stateful systems
- Proven ability to translate complex infrastructure capabilities into intuitive developer experiences
- A pragmatic, customer-focused product management approach with strong technical communication skills
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Company Intel
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