The opportunity
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform.
What you'll do
Partner with engineering leads to understand squad architecture, constraints,: and technical debt, and build plans that reflect how the systems actually behave.
Own planning and delivery for complex, multi-team programs: scope, sequencing, dependencies, and timelines, with close attention to cross-service and cross-region dependencies.
Identify technical risk early (scaling limits, failure modes, capacity: constraints, migration complexity) and drive mitigation before it reaches customers or commitments.
Participate in design and architecture reviews, surfacing gaps in rollout: plans, observability, and fault tolerance.
Drive launch readiness and safe rollout of platform changes, including staged: releases, rollback plans, load and failure testing, and operational handoff.
Serve as the primary point of contact for stakeholders, with clear, regular: status updates and risks escalated early alongside options and recommendations.
What they're looking for
- Work with Data, Product, and Engineering leads to define and track success: metrics for performance, reliability, utilization, and cost, tied to customer outcomes.
- Partner with SRE to build visibility into system health, and help leadership: balance investment in reliability, scale, and new capabilities.
- Coordinate with Supply and Data Center teams on how capacity and: infrastructure changes affect platform roadmaps.
- Run post-launch and post-incident reviews, and drive the resulting improvements to completion.
