Senior Technical Program Manager

What You’ll Be Doing

• Define and own the metrics framework for measuring fleet health, reliability, and MTBI across a diverse and rapidly scaling GPU fleet.
• Lead hands-on data investigations — querying telemetry, correlating failure signals, and building statistical models — to identify the root causes of interruptions and quantify their impact.
• Own and drive execution of cross-functional MTBI improvement programs end-to-end — from translating analytical findings into a prioritized roadmap, to holding teams accountable to milestones and delivering measurable reliability gains.
• Build and maintain dashboards, automated anomaly detection, and alerting frameworks that surface gaps in fleet health reporting in real time.
• Anticipate and close reporting gaps with new cloud providers and hardware platforms by working closely with Infrastructure bring-up teams.
• Communicate complex data findings and program status clearly to senior leadership, turning raw signals into crisp narratives and recommendations.

What We Need To See

• 8+ years of Technical Program Management experience, with at least 3 years in infrastructure, platform, or reliability-focused domains.
• Strong hands-on data analytics skills — comfortable writing SQL, working with large telemetry datasets, and building dashboards (Grafana, Superset, Databricks, or equivalent).
• Demonstrated ability to define and operationalize reliability metrics (MTBI, MTTR, availability SLAs) and drive engineering teams toward measurable improvements.
• Proven ability to lead deep-dive investigations across ambiguous, multi-system problems and translate findings into long-term solutions.
• Excellent executive communication skills — able to distill complex technical findings into clear, decision-ready narratives for senior leadership.
• MS in EE, CS, or equivalent experience.

Ways To Stand Out From The Crowd

• Familiarity with NVIDIA GPU architectures and DGX/HGX infrastructure.
• Experience with Databricks, Apache Spark, or other large-scale data processing platforms.
• Hands-on experience with Grafana, Superset, or similar observability/BI tooling.
• Background in cloud-native infrastructure, Kubernetes, or large-scale distributed systems.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits.