Senior Technical Program Manager - AI Platform

Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Our base salary range is $137,520 - $206,280, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

The Allen Institute for AI (Ai2) is seeking a Senior Technical Program Manager (TPM) to join the Horizontal Technical Program Management team, whose primary responsibility will be the AI Platform, the infrastructure and software that powers cutting-edge AI research at scale.

This is a uniquely impactful role: you’ll help shape the software infrastructure that drives state-of-the-art hardware and boundary-pushing AI workloads, working side by side with world-class researchers and AI infrastructure engineers in a tight, iterative feedback loop. Unlike many TPM roles, this position offers visibility and influence across the entire stack — from compute decisions to the researcher experience.

The AI Platform is core to Ai2’s mission: every improvement in performance, stability, usability, or scalability creates a multiplier effect across our research outputs. As a result, it’s a long-term strategic investment area for the institute, with no shortage of opportunities. For the right TPM, this means both a seat at the table for shaping the future of AI infrastructure and the chance to see your work ripple across groundbreaking research.

Who We Are: 

The Horizontal Technical Program Management Team is the center of excellence for cross-functional execution; reducing management overhead, breaking down silos, and accelerating technical delivery. We envision Ai2 as an organization where seamless collaboration and operational excellence are the norm, not the exception. As a Senior TPM, you’ll embody this mission while driving AI Platform excellence, one of our most strategically critical domains. At Ai2, PMs are both product-minded and program-strong. That means you will collaboratively drive how and when the complex work gets delivered across teams and influence key product decisions by defining the why – balancing business goals, user needs, and feasibility.

Your Next Challenge:

In this role, you will:

• Drive the AI Platform program – Partner with engineering and research leadership to develop and execute against the roadmap for key internal tools and services that support LLM pretraining, large-scale inference, and petabyte scale data management.
• Gather requirements and drive stakeholder alignment – Drive internal processes for collecting requirements for a diverse set of research projects and drive the process of converting them to clear product requirements. Act as the primary liaison between research teams and engineering.
• Facilitate internal change management – Research teams depend on our software for 1k+ GPU jobs; you’ll be responsible for making sure the release process is clear, well communicated, and non-disruptive. 
• Run operational reviews & reporting – Establish and maintain regular reporting mechanisms for platform and team health, including GPU budget planning, operational reviews, and team velocity tracking.
• Program leadership – Own monthly leadership reviews, ensuring leadership visibility into progress, risks, and outcomes.
• Platform evolution & researcher experience – Drive releases, optimizations, and integrations that scale adoption across researchers, engineers and external partners, while ensuring our internal tools (e.g., docs, job scheduler) are intuitive, reliable, and enhance efficiency.

What You’ll Need:

• Proven expertise: 8+ years of technical program or product management or related experience, ideally supporting platforms, infrastructure, or developer/research tools.
• Program leadership: Strong track record of leading complex, cross-functional technical initiatives from strategy to execution.
• Deep Technical Fluency: Expert level understanding of the computational requirements for AI research. The ability to engage with engineering and research teams on low-level requirements involving GPUs, storage, training performance, developer experience, and other platform topics. Confidently navigate conversations and translate technical need