Principal Technical Program Manager (TPM) - AI Infrastructure Operations

Nscale

$150K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of Technical Program Management experience in infrastructure or software engineering.
  • Strong understanding of data center infrastructure and distributed systems.
  • Expertise in modern program management methodologies such as Agile and Scrum.
  • Experience with operational metrics definition and improvement (Uptime, Availability, MTTR).
  • Ability to thrive in a fast-paced, adaptive environment with multiple priorities.

Responsibilities

  • Own the planning and delivery of operational programs for AI infrastructure and fleet/software rollouts.
  • Establish and track critical infrastructure KPIs, focusing on Availability and Uptime.
  • Analyze and optimize workflows in Fleet Operations, Network Operations, and SRE teams.
  • Serve as the liaison between engineering teams and external vendors, resolving risks and dependencies.
  • Translate capacity planning into actionable infrastructure roadmaps for new hardware integration.
  • Identify and mitigate technical and scheduling risks related to AI infrastructure scaling.

Benefits

  • Highly competitive package with annual reviews.
  • Opportunity to work at a fast-growing tech startup focused on AI innovation.
  • Dynamic progression plan tailored to individual ambitions.
Full Job Description
Role Overview

As a Technical Program Manager (TPM) for AI Infrastructure Operations, you will be the operational backbone of our high-scale, high-performance AI and High-Performance Computing (HPC) environment. You will be responsible for driving complex, cross-functional programs that ensure the stability, availability, and growth of our cutting-edge GPU fleet and Infiniband network fabrics. This role requires a blend of deep technical understanding, rigorous program management, and a relentless focus on delivering against key operational metrics (SLAs, Uptime, Availability). You will bridge the gap between engineering execution and strategic business goals, directly impacting our ability to serve customer workloads at scale.
Key Responsibilities
  • Program Leadership: Own the planning, execution, and delivery of strategic operational programs, including new data center AI infrastructure build-outs, large-scale fleet software/firmware rollouts, and the implementation of new operational tooling (in partnership with SRE).
  • Metrics and Reporting: Establish, track, and drive accountability against critical infrastructure KPIs, specifically focusing on Availability (Target 97.5%) and Uptime (Target 99%). Develop clear dashboards and communication rhythms to provide leadership with real-time visibility into operational health, program status, and risk.
  • Process Engineering: Analyze and optimize operational workflows across Fleet Operations, Network Operations, and SRE teams. Drive the standardization of incident management, change management, and postmortem processes to reduce toil and improve Mean Time to Recovery (MTTR).
  • Cross-Functional Coordination: Serve as the primary liaison between engineering teams (Hardware, Compute Platform, Network), Data Center Operations, and external vendors (GPU, Network hardware). Proactively identify and resolve dependencies, risks, and roadblocks.
  • Capacity and Readiness: Partner with Data Science/Operation Programs to translate capacity planning models into actionable infrastructure delivery and readiness roadmaps. Ensure that new hardware (GPUs, NICs, switches) is successfully integrated into the operational control plane and meets go-live criteria.
  • Risk Management: Proactively identify technical, schedule, and resource risks related to AI infrastructure scaling and stability. Develop mitigation strategies and communicate impacts clearly to stakeholders.
Required Qualifications
  • Experience: 5+ years of experience in a Technical Program Management role, successfully driving large-scale, complex infrastructure or software engineering programs.
  • Technical Domain Knowledge: Strong foundational understanding of data center infrastructure, distributed systems, Linux, and networking concepts.
  • Program Management Rigor: Proven expertise in modern program management methodologies (Agile, Scrum, PMP certification preferred). Exceptional organizational, communication, and presentation skills.
  • Metrics-Driven Approach: Demonstrable experience in defining, tracking, and improving system performance based on operational metrics (e.g., Uptime, Availability, MTTR, SLOs/SLIs).
  • Execution in Ambiguity: Ability to thrive in a fast-paced, high-growth environment, managing multiple priorities and adapting to evolving technical requirements.
Preferred Qualifications
  • Direct experience managing programs related to data center infrastructure build-outs and hardware commissioning processes.
  • Specific domain knowledge of AI/HPC infrastructure, including NVIDIA GPUs, InfiniBand/RDMA networks, and the challenges of tightly-coupled systems.
  • Experience in a hyperscale or public cloud environment supporting 24/7 mission-critical services.
  • Familiarity with SRE principles, automation tooling, and continuous integration/continuous deployment (CI/CD) pipelines for infrastructure.
  • A Bachelor's or Master's degree in a technical field (Computer Science, Engineering, etc.) or equivalent practical experience.

What We Can Offer You

  • Highly competitive package (base + equity) with reviews every 12 months.
  • Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
  • Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.


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