Engineering Manager - Product & Platform Delivery

Stack

Responsibilities

• ▹Own feature delivery for a product area, leading a team shipping new functionality and iterating existing product surfaces
• ▹Plan and execute roadmaps: translate product strategy into technical plans, milestones, and success metrics
• ▹Technical leadership & architecture: drive pragmatic system design for product-layer services
• ▹Build and grow a strong team: hire, mentor, and develop engineers in a remote-first environment
• ▹Ensure quality & reliability: improve automated testing, release safety, observability; maintain on-call health
• ▹Cross-functional collaboration with Product, Program Management, Support, GTM, and Infrastructure
• ▹Operational excellence: establish team rituals and delivery systems, use data to improve cycle time and throughput
• ▹Customer-driven execution: incorporate feedback, analytics, and support signals into prioritization

Requirements

• ▹2+ years managing a team of high-performance software engineers, including roadmap delivery, hiring/firing, and performance
• ▹6+ years as a software engineer building and shipping products used by millions of users, with clear personal impact
• ▹Strong systems-level technical depth: Linux systems internals and/or cloud systems engineering (orchestration, control planes, distributed services, networking or storage layers)
• ▹Backend or full-stack proficiency in modern stacks; Go, Python, and/or TypeScript preferred
• ▹Solid understanding of distributed/cloud-native architecture: microservices, APIs, eventing, data stores
• ▹Delivery & metrics mindset using cycle time, throughput, adoption, and escape defects to improve team flow
• ▹Remote-first leadership: clear communication and async alignment across time zones
• ▹Successful completion of a background check

Nice to have

• ▹Experience building AI/ML + developer platforms, workflow-heavy products, or infrastructure-adjacent product layers
• ▹Familiarity with Kubernetes-based platforms, container runtimes, scheduling concepts, or GPU/accelerator workflows
• ▹Track record of scaling teams in high-growth environments while keeping quality high
• ▹Open-source contributions in cloud-native, systems, or ML-adjacent projects

Soft skills

What we offer

• ▹Competitive base pay ranging from $110,000–$220,000
• ▹Meaningful equity — everyone on the team receives stock options
• ▹Generous medical, dental, and vision benefits
• ▹Flexible PTO
• ▹Remote-first roles with Slack as the primary internal communication tool
• ▹$1,200 Home Office & Equipment Stipend

About the company

Runpod, founded in 2022, is a rapidly growing, well-funded, remote-first company offering cloud infrastructure for full-stack AI applications, building a foundational platform for developers to build and run custom AI systems that scale.