Staff Technical Program Manager, Data Center Data & Tooling (AI)

Location: Sunnyvale, California, United States; onsite

Company

hirify.global builds large-scale AI computing hardware and infrastructure for high-speed model training and inference.

What you will do

• Own the data and tooling roadmap for the Data Center organization, translating stakeholder needs into requirements, milestones, and measurable outcomes.
• Define shared data models and metrics for sites, capacity, milestones, equipment readiness, costs, risks, and dependencies.
• Integrate project, procurement, inventory, financial, and deployment data through reliable interfaces and workflows.
• Build SQL analyses, lightweight automation, and dashboards showing progress, forecasts, constraints, and risks.
• Lead tool evaluation and implementation, including build-versus-buy decisions, pilots, testing, rollout, documentation, and training.
• Establish data quality, reconciliation, access, adoption, and executive reporting processes across distributed teams.

Requirements

• Experience leading complex technical programs across infrastructure, enterprise systems, data platforms, or large-scale operations from requirements through sustained adoption.
• Ability to set direction across multiple teams, resolve competing priorities, and deliver organization-wide improvements without direct authority.
• Strong SQL skills, including dataset validation, metric definition, and operational dashboard development; working knowledge of Python or comparable scripting for analysis and automation.
• Ability to discuss APIs, data models, integrations, workflow design, and data quality requirements with engineers and translate technical tradeoffs into program decisions.
• Experience connecting operational data to delivery schedules, capacity, cost, or equipment readiness, including recognizing limitations of incomplete or inconsistent data.
• Clear written and verbal communication, including executive updates, actionable requirements, and risk escalation with recommended decisions.

Nice to have

• Experience with data centers, cloud infrastructure, hardware deployment, physical infrastructure, or multi-site programs.
• Familiarity with business intelligence, project management, enterprise resource planning, inventory, or data center infrastructure management systems.
• Experience replacing spreadsheet-heavy workflows with maintainable integrations and tools, including defining ownership and post-rollout support.

Culture & Benefits

• Work on an AI platform and hardware architecture designed beyond conventional GPU constraints.
• Opportunities to publish and open-source AI research.
• Work with a fast AI supercomputer and a rapidly growing product organization.
• Startup vitality with job stability and a simple, non-corporate culture.
• Equal and diverse work environment supporting continuous learning, growth, and collaboration.