Senior Technical Program Manager, AI/ML & Data Infrastructure, Central Technology

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central Operations & Partners team provides the support needed to push this work forward. 

Central Operations & Partners consists of our Brand & Communications, Community, Facilities, Finance, Infrastructure/IT Operations/Business Systems, Initiative Operations, People, Real Estate/Workplace/Facilities/Security, Research & Learning, and Ventures teams. These teams provide the essential operations, services, and strategies needed to support CZI’s progress toward achieving its mission to build a better future for everyone.

Our Central Tech team provides technology and security support for CZI and our grantees. Engineering, IT, and Security are most effective when in sync and learning from each other daily.  Across our three pillars of Infrastructure, Security, and Grantee & Partner Support, we enable our teams to achieve their goals faster and more securely. We leverage technology to automate manual processes, constantly innovate to optimize operations, provide first-class support, and build solutions to enable the scale and execution of our business partners' strategies and initiatives.

The Opportunity

We’re seeking a Senior Technical Program Manager to lead cross-functional programs that accelerate the effectiveness of our AI/ML and Data Infrastructure teams. This TPM will drive initiatives that improve how internal teams access, use, and scale compute and platform resources—including onboarding and offboarding workflows, access management systems, and infrastructure programs that support efficient, secure, and impactful research and development across the organization.

What You'll Do

• Lead AI/ML infrastructure programs: Drive execution of technical initiatives across GPU scheduling, platform enablement, observability, or workload orchestration.
• Lead access and lifecycle workflows: Own the end-to-end experience for users accessing shared infrastructure resources—including onboarding, offboarding, documentation, and support processes. Serve as the primary point of contact for researchers and internal teams navigating compute access, and collaborate with platform teams to ensure smooth transitions, including long-term model or data migration when needed.
• Coordinate infrastructure access requests: Manage intake and operational workflows for machine learning infrastructure access, including triage, tracking, and communication. Ensure alignment across engineering, research, and platform teams, and help evolve the process as usage scales and needs become more complex.
• Drive documentation systems: Own the structure, accuracy, and governance of internal documentation, onboarding guides, runbooks, and infrastructure wikis.
• Enhance visibility: Maintain and improve AI system dashboards and reporting systems for onboarding timelines, RFA volume, and infrastructure program milestones.

What You'll Bring

• 7+ years of experience in technical program management or infrastructure-focused operations in complex engineering environments. 
• Proven ability to manage large-scale technical programs across multiple stakeholders and teams.
• High-level understanding of machine learning workflows and model training pipelines, with the ability to translate infrastructure needs between research and engineering teams.
• Strong organizational skills and experience leading cross-functional programs with tight timelines and multiple stakeholders.
• Excellent written and verbal communication skills, including the ability to align stakeholders at multiple levels.
• A passion for building efficient, secure, and inclusive systems to support cutting-edge science and research.
• Familiarity with on-prem/HPC and/or multi cloud-based GPU infrastructure, orchestration tools, and platforms like Slurm, Run:AI, MLflow, W&B or similar systems is a huge plus.

Compensation

The Redwood City, CA base pay range for a new hire in this role is $178,000.00 - $244,200.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated