Job Description
📋 Description Drive strategic programs through Concept, Commit, and Execution with cross-functional alignment. Keep programs aligned across R&D, Engineering, Product Management, and Sales, linking delivery to business outcomes. Coordinate with other program managers to resolve overlaps and display portfolio status. Present program status, risks, and options to executive leadership with candor. Run the operating cadence: milestones, risk management, dependencies, logs, and early problem detection. Drive GPU deployments at the center of the AI cloud era, collaborating with exec leadership and world-class technical teams. 🎯 Requirements 8+ years in program management or technical program management for enterprise infrastructure software, with a record of carrying complex initiatives from concept through delivery Technical background sufficient for a highly technical domain: Kubernetes, GPU infrastructure, cloud platforms, or adjacent systems Demonstrated success driving results through influence in matrixed organizations, aligning stakeholders who do not report to you across engineering, product, and go-to-market functions Experience working within and improving structured program lifecycles, such as concept-to-commit-to-execution, stage-gate, or similar frameworks Strong collaboration instincts paired with accountability for outcomes: you bring teams along, and programs you run finish Strongly Preferred: Prior hands-on technical role (engineering, solutions architecture, or similar) or PMP, PgMP, or equivalent certification, or a track record that makes certification irrelevant 🎁 Benefits Operate some of the most advanced AI infrastructure environments in production today. Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments. Help define operational standards and reliability practices for next-generation AI infrastructure services. Influence the adoption of AI-powered operational capabilities through k0rdent AI. Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale. Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.
