Senior Technical Program Manager - AI Platform

The Allen Institute for Artificial Intelligence • Seattle, WA

22h • Hybrid

About The Position

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.
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.

Requirements

• 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.
• Collaboration & communication: Excellent written and verbal skills; able to influence and align diverse stakeholders, from researchers, engineers, developers, and leadership.
• Bias for action: Proactive, resourceful, and comfortable operating in a dynamic environment where priorities evolve.
• Tact: Skilled at guiding high-stakes decisions and building alignment across diverse stakeholders.

Responsibilities

• 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.

Benefits

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees