Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to create a foundational platform for developers to build and run custom AI systems that scale. Join us as we shape the future of AI.
We’re looking for a Sr Director of Software Engineering to lead and scale Runpod’s product-delivery engineering organization. This role owns the end-to-end delivery of customer-facing platform features - from roadmap execution to high-quality launches - across multiple teams. You’ll build the operating rhythm, culture, and technical direction that help Runpod ship quickly, safely, and consistently as demand scales.
You will partner tightly with Product, Design, GTM, and Infrastructure leadership.Your focus is ensuring our customers experience Runpod as the fastest, most intuitive path to training and running AI inference workloads.
Responsibilities
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Own Product Feature Delivery: Lead multiple engineering teams responsible for shipping new features and improving Runpod’s customer experience across console, APIs, and developer workflows. Ensure predictable, high-velocity execution.
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Translate Roadmap into Results: Partner with Program management, Product and GTM to shape strategy, define quarterly goals, and convert requirements into clear technical scopes, milestones, and measurable outcomes.
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Build a High-Output Org: Hire, mentor, and grow engineering managers and senior ICs. Create a culture of ownership, speed, and craft in a remote-first environment.
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Drive Cross-Functional Launch Excellence: Run feature lifecycle processes - discovery support, design/architecture reviews, build phases, QA and rollout plans, release comms, and post-launch iteration.
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Continuously Improve Engineering System & Flow: Drive measurable improvements in delivery and reliability through metrics such as cycle time, throughput, defect failure rate, incident frequency, escape defects, adoption, and retention.
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Customer-Backed Prioritization: Ensure engineering work aligns to user impact and business value. Constantly leverage customer insights, product analytics, and operational data to refine priorities.
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Quality & Velocity Leadership: Balance speed and reliability by improving automated testing, stagi