Top Technical Program Manager Jobs in San Francisco Bay Area, CA

Own the strategy, roadmap, and delivery of capacity analytics and supply-demand planning tools for compute infrastructure. Lead data foundations, forecasting, scenario planning, resource allocation, cloud capacity analysis, metrics, and adoption. Coordinate engineering, data, infrastructure, finance, research, and leadership stakeholders while managing dependencies, risks, migrations, and technical tradeoffs across CPU, storage, networking, and GPU resources.

Own technical programs and systems that translate research workload plans into compute demand, capacity allocations, and scheduling workflows. Build tools, data models, automation, and self-service experiences alongside researchers and engineers. Coordinate Research, capacity planning, and infrastructure teams; connect allocations to Kubernetes deployments and scheduling; evaluate optimization approaches; improve fleet utilization; and lead delivery, adoption, dependencies, and technical decisions across teams.

Own global CPU capacity planning across Research, Compute, and application infrastructure. Translate workload and GPU growth into integrated CPU, storage, and network requirements; manage forecasts, supply, allocations, quotas, and constrained scenarios. Partner with engineering, Finance, Procurement, cloud providers, and deployment teams to improve utilization, reduce costs, coordinate infrastructure delivery, and resolve capacity gaps across AWS, GCP, Azure, and OCI.

The Technical Program Manager will lead the delivery of large-scale GPU clusters, coordinating with engineers and managing cross-functional teams to ensure timely, reliable production capacity.

Run delivery programs for large-scale GPU cluster builds. Own integrated plans covering site readiness, procurement, logistics, deployment, and acceptance; track vendor schedules, dependencies, risks, power and cooling readiness, and team handoffs. Provide concise status reporting to leadership and customers, develop scalable program tracking tools, and create processes, templates, checklists, and post-build reviews to improve future deployments.

Lead complex technical programs from planning through launch, adoption, and iteration. Coordinate product, design, engineering, data, and People teams; manage dependencies, risks, decisions, and launch readiness. Own user onboarding, training, support, feedback loops, adoption metrics, and change management. Translate user insights and operational data into recommendations, improve execution practices, and provide leadership with portfolio updates.

Own complex public cloud programs from planning through rollout, coordinating engineering, infrastructure, SRE, security, product, and support teams. Translate product and engineering priorities into execution plans, manage dependencies and risks, coordinate launches across cloud services, establish delivery cadences, and define launch success metrics. The role requires strong cloud infrastructure, distributed systems, GPU, machine learning platform, and Kubernetes knowledge, along with the ability to influence cross-functional teams without direct authority.

Own complex public cloud programs from planning through rollout, coordinating engineering, infrastructure, product, security, SRE, and support teams. Translate strategy into execution plans, manage dependencies and risks, establish delivery cadences, oversee launch readiness, and measure post-launch success. The role requires strong understanding of cloud services, infrastructure architecture, distributed systems, GPU platforms, and Kubernetes, plus the ability to influence multiple teams without direct authority.

Leads AI-enabled technical programs from customer and market insight through scalable implementation. Defines product and solution roadmaps, coordinates cross-functional teams, manages risks, dependencies, releases, and compliance, and uses KPIs, telemetry, experimentation, and root-cause analysis to improve adoption, quality, reliability, customer success, and commercial impact.

Lead Azure Storage DPU programs from requirements and hardware bring-up through validation, general availability, and fleet-wide deployment. Coordinate hardware, firmware, storage software, and external vendor teams; define integration requirements, validation plans, quality gates, schedules, and deployment readiness. Evaluate technical options, business cases, cost, supply risk, and dependencies while managing escalations and communicating decisions to senior leadership.

Leads multiple cloud migration workstreams, coordinating cross-functional technical teams, timelines, budgets, resources, risks, stakeholders, and deliverables. Provides technical guidance on scalable and secure cloud solutions, oversees legacy application and data migrations, supports agile practices, identifies automation opportunities, and drives process improvements. The role requires strong program management, cloud platform knowledge, communication, leadership, and experience managing complex IT migration initiatives.

Own cross-account delivery planning for Applied AI deployments, including FDE capacity, dependencies, risks, and commitments. Establish Linear as the source of truth, improve estimation and delivery metrics, track progress, triage applied-versus-platform blockers, and convert recurring field needs into platform priorities. Run lightweight operating rhythms, automate status tracking, and ensure customer commitments reflect real capacity. The role requires technical credibility, strong engineering judgment, and relentless follow-through.

Lead technical programs for Modular’s platform engineering organization, coordinating build, test, release, and continuous deployment infrastructure across compiler, runtime, kernel, cloud, and product teams. Establish planning and reporting cadences, manage dependencies and risks, define developer-experience metrics, coordinate migrations and rollouts, improve infrastructure reliability, and partner with Security on CI/CD integrity, artifact isolation, signing, provenance, and access control.

Lead complex Terminal programs spanning in-person payments, software, hardware, firmware, payment devices, and third-party partners. Define objectives, success metrics, priorities, and resource plans; manage risks and dependencies; represent merchant and consumer needs; and coordinate engineering, product, operations, logistics, finance, legal, payments, and regional teams. Partner with engineering on architecture, payment flows, identity, fraud, risk, and money movement to deliver reliable products internationally.

Leads large, strategic technical programs spanning multiple engineering teams, technologies, organizations, and geographies. Builds integrated plans and roadmaps, manages dependencies, risks, milestones, and tradeoffs, and provides executive visibility into program health. Partners with engineering, architecture, product, and senior leadership to drive decisions and outcomes without direct authority. Improves governance, operating models, planning cadences, metrics, and scalable program practices while mentoring TPMs and cross-functional partners.

Manage technical programs involving software and hardware deployments across engineering, operations, supply chain, compliance, security, and business teams. Create project plans, schedules, milestones, status reports, and risk mitigation plans. Coordinate migration and upgrade initiatives, support ISO 27001 audit actions, improve program execution processes, and identify AI opportunities to increase efficiency. Apply Agile methodologies while communicating progress and impacts to stakeholders and executives.

Leads supplier quality and Field Replaceable Unit programs across enterprise hardware products from NPI through end of life. Owns roadmaps, supplier accountability, failure analysis, corrective actions, audits, quality metrics, FRU readiness, service-parts planning, and cross-functional execution. Coordinates engineering, manufacturing, procurement, logistics, support, and suppliers while managing risks, schedules, reporting, and executive communication.

Lead safety and systems technical program execution for autonomous vehicle platforms. Coordinate safety assessments, system architectures, verification and validation, production readiness reviews, continuous software evaluation, executive reporting, issue tracking, and cross-functional engineering alignment. Consolidate plans and Jira data, use AI tools to reduce administrative overhead, ensure requirements have test coverage, and drive safety, security, and systems deliverables through deployment decisions.

Leads complex, cross-functional technical programs for strategic customers from problem definition through delivery. Owns program goals, roadmaps, schedules, dependencies, governance, quality, security, performance metrics, and customer outcomes. Partners with engineering, data science, design, support, and leadership to define solutions, manage releases, analyze telemetry, improve products, and drive measurable business impact. The role also supports customer engagements, technical advisory activities, pre-sales, and live-site improvements.

Manage an enterprise Agentic AI platform program by establishing Jira and Confluence governance, tracking milestones, risks, dependencies, and deliverables, and coordinating engineering, data science, technology, and global stakeholders. Translate epics into user stories and acceptance criteria, document business and functional requirements, map workflows and integrations across Adobe platforms, and assess emerging AI and content technology solutions. Coding and machine learning model development are not required.

Build and lead Ironsite’s technical program management function, establishing planning cadences, roadmaps, tracking, and cross-team delivery processes. Own launches spanning hardware, software, ML, and field applications; coordinate customer deployments; and manage the nightly operational cadence supporting next-day reports. The role requires driving complex programs with external deadlines, improving reliability, aligning teams, and building scalable program management playbooks and hiring processes.

Lead complex, cross-functional technical programs for Runpod’s distributed AI cloud platform. Partner with engineering, SRE, product, data, supply, and data center teams to plan delivery, manage dependencies, identify technical risks, support architecture and rollout reviews, define success metrics, and ensure launch readiness. The role requires hands-on distributed systems and cloud infrastructure knowledge, strong communication, quantitative analysis, and experience driving programs from planning through launch.

Lead Microsoft Security’s integrated portfolio and high-priority strategic initiatives across engineering, finance, capacity, data, and business operations. Establish executive governance, operating cadences, metrics, and decision mechanisms while driving commitments through closure. Set strategy for Azure compute and AI capacity planning, consumption, allocation, and cost optimization. Develop AI-native automation, trusted data foundations, scorecards, and early-warning systems to improve execution, accountability, and business outcomes.

Lead complex, cross-functional IT programs from planning through sustainment. Responsibilities include defining program scope and plans, managing dependencies, risks, stakeholders, implementation providers, and executive communications. The role requires technical understanding, experience delivering SaaS or infrastructure implementations, and at least five years of relevant experience.

Leads execution of mixed-signal R&D and IR&D programs involving RF, FPGA/firmware, software, and integration/testing. Manages schedules, dependencies, engineering cadence, architecture trade studies, risks, decisions, logistics, international deployments, inventory, financial tracking, and leadership reporting. Coordinates cross-disciplinary teams, government representatives, vendors, partners, and deployment sites while supporting technical reviews and contingency planning.