O

OpenAI

Builds AI models and the ChatGPT assistant

Technical Program Manager - Infrastructure Systems & Tooling

Program ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$226k - $285k /yrHybrid

About the Job

Requirements

  • Have 8+ years of experience in technical program management, operations program management, infrastructure delivery, operations transformation, or a comparable role in a complex technical environment.
  • Have led end-to-end software or systems implementations for an operations organization, including workflow discovery, requirements, data models, integrations, testing, rollout, adoption, and continuous improvement.
  • Be fluent with dashboards, key performance indicators, operational data, and executive reporting, and be able to turn incomplete inputs into clear definitions, trusted metrics, and decisions.
  • Have built governance mechanisms that work in practice, including goal-setting, operating reviews, intake and prioritization, risk and issue management, action tracking, decision logs, and escalation.
  • Bring experience with data centers, construction, commissioning, infrastructure operations, cloud, manufacturing, or another mission-critical physical-infrastructure environment.
  • Be able to influence senior leaders, technical directly responsible individuals, vendors, and partner organizations without relying on direct authority, and communicate clearly from working-team detail to executive summary.
  • Be comfortable navigating ambiguity, changing ownership boundaries, urgent timelines, and high operational stakes while maintaining rigor and momentum.
  • Hold a bachelor's degree in Engineering, Computer Science, Information Systems, Construction Management, Operations Management, Business, or an equivalent combination of education and practical experience.

Responsibilities

  • Establish and run Infrastructure Operations' goal-setting and operating cadence, including quarterly goals, weekly performance reviews, prioritization, action tracking, decision logs, escalation paths, and closure criteria.
  • Translate leadership priorities into clear programs with owners, milestones, dependencies, success metrics, and resourcing assumptions, and maintain source-of-truth hygiene across goals, status, dates, risks, and decisions.
  • Build and operate dashboards, scorecards, and executive-ready reporting for operational health, capacity readiness, service-level agreement and mean-time-to-recovery performance, delivery pipeline status, and material risks.
  • Define authoritative data models and reporting standards for milestones, timelines, delivery risk, capacity state, readiness, handover, exceptions, and operational performance, and drive consistent adoption across the portfolio.
  • Own the first-party and third-party delivery-tracking program across sites and partners by integrating schedule and progress inputs, maintaining quantity and timeline forecasts, surfacing risks early, and driving cross-functional follow-through.
  • Define Operations' requirements for capacity acceptance and operational handover, including readiness evidence, risk and exception workflows, approvals, sign-offs, and post-handover action tracking.
  • Own the Information Governance Process and controlled-document lifecycle across relevant Operations workflows, including standards, procedures, work instructions, templates, ownership, approvals, versioning, exceptions, and obsolescence.
  • Lead operations software and tooling implementations from discovery through rollout by mapping workflows, writing requirements, designing data and integration patterns, partnering with engineering and vendors, testing solutions, and driving adoption.
  • Improve connections among reporting, ticketing, knowledge, delivery-tracking, sourcing, and operational systems so teams can work from consistent data instead of manual, fragmented updates.
  • Program-manage cross-functional initiatives across Infrastructure Operations and its interfaces with Data Center Engineering, Compute technical program managers, first-party Delivery, construction, commissioning, sourcing, and external infrastructure partners.
  • Coordinate internal and external resources supporting systems, dashboards, process design, and document governance; make dependencies and ownership explicit while keeping functional directly responsible individuals accountable for their domains.
  • Capture lessons learned, identify recurring operational bottlenecks, and implement automation and process improvements that make the organization more predictable, scalable, and effective.

Desired Qualifications

  • Have experience with hyperscale or artificial intelligence infrastructure, including first-party, third-party, colocation, or cloud service provider delivery models.
  • Be familiar with project controls, scheduling, operational readiness, commissioning, capacity acceptance, service-level agreement and mean-time-to-recovery reporting, incident or ticketing workflows, and handover governance.
  • Have technical fluency with application programming interfaces, integration patterns, business intelligence and reporting tools, workflow platforms, data quality controls, and automation; SQL or equivalent analytical skills are a plus.
  • Have experience managing vendors, consultants, or embedded support resources and converting ad hoc support into repeatable operating capability.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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