Director of Software Engineering – Product & Platform Delivery

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RunPod

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Artificial Intelligence • Cloud Computing • SaaS

RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed Round on 2024-05

📋 Description

• 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. • Partner with Program management, Product and GTM to shape strategy, define quarterly goals, and convert requirements into clear technical scopes, milestones, and measurable outcomes. • Hire, mentor, and grow engineering managers and senior ICs. Create a culture of ownership, speed, and craft in a remote-first environment. • Run feature lifecycle processes - discovery support, design/architecture reviews, build phases, QA and rollout plans, release comms, and post-launch iteration. • Establish and evolve standards for lifecycle management, sprint/kanban execution, code review, CI/CD quality gates, release safety, documentation, and retrospectives. • Ensure engineering work aligns to user impact and business value. Constantly leverage customer insights, product analytics, and operational data to refine priorities. • Balance speed and reliability by improving automated testing, staging/preview environments, observability for product surfaces, and regression prevention. • Provide architectural oversight for product systems (backend services, APIs, user workflows, integrations), ensuring scalability and coherence without bottlenecking teams. • Coordinate dependencies cleanly with infra/SRE teams to ensure high quality product delivery.

🎯 Requirements

• 7+ years leading software engineering teams including managers and/or multiple squads, with a proven record of shipping customer-facing products. • Demonstrated ability to take complex roadmap goals from concept through launch, balancing scope, risk, timelines, and quality. • 8+ years building SaaS, platforms, or developer-facing products. Comfortable with modern backend stacks and pragmatic architectural decisions. • Ability to go deep in system design and code when needed; experience with Go, Python, and/or TypeScript strongly preferred. • Experience building culture, accountability, and momentum across distributed teams. • Strong use of delivery metrics (cycle time, throughput, escape defects, reliability, adoption), and experience improving team flow. • Clear written and verbal communication, strong stakeholder management, and calm leadership through ambiguity. • Successful completion of a background check.

🏖️ Benefits

• Meaningful 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 plans — we cover 100% for all employees and partial for dependents. • Flexible PTO- take the time you need to recharge • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace