Senior Technical Program Manager - AI Platform

Persons in these roles are expected to spend at least 3 days per week 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 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 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.

What You’ll Need:

• Proven expertise: Bachelor’s degree in a related field, plus 8+ years of relevant technical program or product management experience (ideally supporting platforms, infrastructure, or developer/research tools). Additional relevant work experience may substitute for a degree.
• 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 needs into actionable plans.
• Operational rigor: Skilled at building and running reporting mechanisms, roadmaps, and metrics dashboards that provide transparency and accountability.