Engineering Manager - Product & Platform Delivery

Responsibilities

• Own Feature Delivery for a Product Area: Lead a team of engineers responsible for shipping new functionality and iterating existing product surfaces.
• Deliver Predictable, High-Velocity Outcomes: Improve customer experience and business value.
• Plan and Execute Roadmaps: Translate product strategy into clear technical plans, milestones, and success metrics. Identify tradeoffs early and manage scope, risk, and timelines.
• Technical Leadership & Architecture: Drive pragmatic system design for product-layer services and workflows, ensuring scalability, performance, and consistency with Runpod’s platform.
• Build and Grow a Strong Team: Hire, mentor, and develop engineers; set expectations, provide feedback, and create a culture of ownership, speed, and craft in a remote-first environment.
• Quality & Reliability for Product Surfaces: Improve automated testing, release safety, observability for customer-facing systems, and regression prevention. Ensure on-call health for your team’s services.
• Cross-Functional Collaboration: Partner tightly with Product, Program management, Support, GTM, and Infrastructure counterparts. Coordinate dependencies cleanly while maintaining clear ownership.
• Operational Excellence: Establish team rituals and delivery systems (sprints/kanban, retros, design reviews). Use data to improve cycle time, throughput, and feature adoption.
• Customer-Driven Execution: Stay close to user needs by incorporating feedback, analytics, and support signals into prioritization and iteration.

Requirements

• Engineering Management Experience: 2+ years managing a team of high performance software engineers, including ownership of roadmap delivery, hiring/firing, performance, and team culture.
• High-Scale Product Delivery: 6+ years as a software engineer building and shipping products used by millions of users, with clear evidence of personal impact.
• Systems-Level Technical Depth: Strong experience with Linux systems internals and/or cloud systems engineering - ideally building platform capabilities (orchestration, control planes, distributed services, networking or storage layers).
• Backend or Full-Stack Proficiency: Comfortable reviewing and contributing to code in modern stacks; Go, Python, and/or TypeScript experience preferred.
• Distributed/Cloud-Native Architecture: Solid understanding of microservices, APIs, eventing, data stores, and service-to-service communication patterns.
• Delivery & Metrics Mindset: Experience running execution processes and using metrics like cycle time, throughput, adoption, and escape defects to improve team flow.
• Remote-First Leadership: Proven ability to communicate clearly, align stakeholders asynchronously, and sustain momentum across time zones.
• Preferred Qualifications: Experience building AI/ML + developer platforms, workflow-heavy products, or infrastructure-adjacent product layers (e.g., job orchestration UX, deployment flows, usage/billing, observability surfaces). 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.