Head of Technical Programme Management

AI Fabrik builds an edge inference delivery network for high-performance tokens, with faster time-to-market from grid to tokens. Our mission is to build the inference infrastructure we wished every enterprise already had — close to users, close to the cloud, and extremely resilient for real-time workloads. We are builders, architects, engineers, and researchers with hands‑on experience in real-world AI deployment in production, and decades of data center experience that taught us exactly what needs to change.

AI Fabrik was incubated inside Gruve and backed by Mayfield, Xora (Temasek), Acclimate Ventures, Cisco Investments — existing investors from Gruve who followed us into this new chapter. We are deploying five initial production sites, with the first one coming online in July 2026.

This role sits at the intersection of physical infrastructure deployment and software engineering. Our programs span the buildout of hardware sites across dozens of locations — facilities, power, networking, and compute — alongside the delivery of a deep software stack that must be production‑ready when each site comes online.

Hardware procurement and site construction operate on fixed schedules with limited room for adjustment. Software delivery must be planned and tracked with the same discipline. The TPM in this role is accountable for keeping both on track and ensuring the dependencies between them are managed proactively, not discovered late.

Own the end‑to‑end planning and execution of large‑scale technical programs: define scope, set milestones, sequence dependencies, and keep delivery on track across multiple engineering teams

Engage directly with system designs, architecture decisions, and infrastructure trade‑offs — well enough to identify risks, ask the right questions, and flag issues before they compound

Manage cross‑functional dependencies across engineering, product, design, data, and infrastructure; Communicate program status, risks, and decisions to different audiences — architectural context for engineering leads, delivery forecasts for product, business impact for executives — adapting the level of detail to what each stakeholder actually needs

Identify, track, and elevate technical risks early; 4+ years of experience in a technical role — software engineering, infrastructure, or a closely related discipline — before or alongside program management work

Demonstrable experience running large, cross‑functional technical programs from planning through delivery

Comfortable reading system design documents, architecture diagrams, and API specs; Strong written and verbal communication skills, with the ability to adjust detail and framing depending on the audience

Experience managing dependencies and coordinating delivery across multiple teams simultaneously

Familiarity with project and program management tools (Jira, Confluence, Linear, or equivalent)

Solid understanding of modern software delivery practices: CI/CD pipelines, agile methodologies, and release management

Background in cloud infrastructure, distributed systems, or platform engineering — giving you the vocabulary and intuition to engage on architecture without needing a technical translator

Familiarity with risk frameworks and structured approaches to dependency mapping across large engineering organizations

Experience coordinating security, compliance, or data privacy requirements as part of a technical program

Why AI Fabrik
At AI Fabrik, we hire for impact. We want those who challenge how inference infrastructure is built and who excel at delivering it in production. We are committed to building a diverse and inclusive team. AI Fabrik is an equal opportunity employer. Please note that this is an onsite position based out of AI Fabrik’s Redwood City, California office.

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