[Remote] Engineering Manager - Product & Platform Delivery
Note: The job is a remote job and is open to candidates in USA. Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. We’re hiring an Engineering Manager to lead a high-impact product engineering team building customer-facing features across Runpod’s console, APIs, and developer workflows.ResponsibilitiesOwn 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 that improve customer experience and business valuePlan and Execute Roadmaps: Translate product strategy into clear technical plans, milestones, and success metrics. Identify tradeoffs early and manage scope, risk, and timelinesTechnical Leadership & Architecture: Drive pragmatic system design for product-layer services and workflows, ensuring scalability, performance, and consistency with Runpod’s platformBuild 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 environmentQuality & 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 servicesCross-Functional Collaboration: Partner tightly with Product, Program management, Support, GTM, and Infrastructure counterparts. Coordinate dependencies cleanly while maintaining clear ownershipOperational Excellence: Establish team rituals and delivery systems (sprints/kanban, retros, design reviews). Use data to improve cycle time, throughput, and feature adoptionCustomer-Driven Execution: Stay close to user needs by incorporating feedback, analytics, and support signals into prioritization and iterationSkills2+ years managing a team of high performance software engineers, including ownership of roadmap delivery, hiring/firing, performance, and team culture6+ years as a software engineer building and shipping products used by millions of users, with clear evidence of personal impactStrong experience with Linux systems internals and/or cloud systems engineering - ideally building platform capabilities (orchestration, control planes, distributed services, networking or storage layers)Comfortable reviewing and contributing to code in modern stacks; Go, Python, and/or TypeScript experience preferredSolid understanding of microservices, APIs, eventing, data stores, and service-to-service communication patternsExperience running execution processes and using metrics like cycle time, throughput, adoption, and escape defects to improve team flowProven ability to communicate clearly, align stakeholders asynchronously, and sustain momentum across time zonesSuccessful completion of a background checkExperience 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 workflowsTrack record of scaling teams in high-growth environments while keeping quality highOpen-source contributions in cloud-native, systems, or ML-adjacent projectsBenefitsMeaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.Generous medical, dental & vision plansFlexible PTO- take the time you need to rechargeMost roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication$1,200 Home Office & Equipment Stipend-We set you up for success from day one with gear and support to create your ideal workspaceCompany OverviewRunpod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications. It was founded in 2022, and is headquartered in Mount Laurel, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://www.runpod.io.