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

Lead the Primary Compute Unit program from architecture and hardware development through validation, integration, and production. Coordinate hardware, firmware, software, safety, supply chain, quality, manufacturing, and vehicle integration teams. Translate strategy into roadmaps, schedules, deliverables, budgets, and accountability systems. Manage suppliers, manufacturing readiness, issue resolution, root-cause analysis, stakeholder communications, and executive reporting while driving cross-functional alignment throughout the product lifecycle.

Owns end-to-end governance of hardware and product changes from engineering approval through cross-functional review and production-line implementation. Coordinates Engineering, Manufacturing, Quality, Purchasing, Supply Chain, Logistics, suppliers, and production teams. Manages multi-tier supply chain impacts, readiness, documentation, training, approvals, and audit-ready records. Builds change-pipeline dashboards and automates reporting using spreadsheets, scripts, and AI tools. Continuously improves governance frameworks, gate criteria, and change-management systems.

Leads Body and Closures technical programs, coordinating engineering teams, suppliers, manufacturing, quality, procurement, and service partners. Owns schedules, costs, quality, BOM integrity, technical risks, root-cause resolution, design reviews, DFMEAs, validation, and manufacturing readiness. Supports design engineering in CATIA and 3DEXPERIENCE while driving vehicle performance, manufacturability, serviceability, and end-to-end NPI delivery.

Own end-to-end customer deployment programs from contract execution through production go-live. Coordinate engineering, product, vendors, infrastructure partners, and enterprise customers while managing milestones, budgets, risks, integrations, and executive communications. Build repeatable deployment playbooks and TPM frameworks, maintain technical fluency in data center power, cooling, and compute infrastructure, and support post-deployment adoption, customer satisfaction, and product improvement.

Lead complex, end-to-end technical programs across product, engineering, data, and security teams. Translate strategic priorities into roadmaps, manage risks and dependencies, coordinate distributed teams, and align executive stakeholders. Drive AI platform, data, infrastructure, security, reliability, and enterprise adoption initiatives from inception through launch and continuous improvement while ensuring predictable execution and transparent communication.

Manage software engineering programs from requirements through production delivery. Coordinate cross-functional dependencies across engineering, data science, data engineering, DevOps, product, and external stakeholders. Track schedules, milestones, risks, critical paths, resourcing, quality, and release commitments. Improve engineering processes, identify delivery gaps, facilitate resolution, and ensure successful end-to-end product execution in a fast-paced environment.

Leads a team of Technical Program Managers and oversees complex, cross-functional technical programs across the Product organization. Responsibilities include program strategy and execution, stakeholder alignment, continuous planning, risk and dependency management, performance development, and establishing TPM frameworks and operational standards. The role partners with engineering, product, design, research, and executive leadership to improve delivery predictability, scalability, collaboration, and customer value.

Owns the strategy and execution of eDiscovery and information governance programs across business functions and enterprise platforms. Partners with engineering teams to improve EDRM capabilities, translates regulatory requirements into system controls, manages roadmaps, dependencies, risks, and audit documentation, and validates compliance tooling through comprehensive testing. The role also identifies automation opportunities, responsibly applies generative AI and workflow tools, and drives organizational adoption.

Own end-to-end delivery of enterprise technology programs, including planning, risk management, integrations, process documentation, change management, stakeholder alignment, and executive reporting. The role partners with business and technical teams, supports technology roadmaps, standardizes PMO practices, facilitates governance, and manages system implementations from requirements through hypercare in a fast-paced automotive startup environment.

Lead cross-functional technical programs from planning through launch, translating implementation needs into technical requirements and milestones. Coordinate Engineering, Product, Design, and Operations teams, manage dependencies and risks, track KPIs, and communicate program status to leadership. The role requires technical fluency with APIs, databases, and cloud infrastructure, plus strong stakeholder management and experience working in fast-paced SaaS environments.

Lead cross-functional compiler software programs from concept to delivery, coordinating global teams, tracking risks and schedules, and improving development processes. Present status to executives, drive Agile and Waterfall projects, resolve technical/resource conflicts, and implement process and tool automation to ensure timely product releases.

Owns Engineering programs that improve release execution, software quality, reliability, and delivery consistency. Responsibilities include managing monthly releases, maintaining feature flag processes, coordinating incident and bug follow-ups, tracking performance regressions, resolving cross-team engineering dependencies, and overseeing technical vendor operations. The role requires strong process orientation, systems thinking, software development lifecycle knowledge, and the ability to coordinate effectively with engineering and cross-functional teams.

Lead multiple enterprise customer implementations of BigPanda’s AI-driven IT operations solutions from kickoff through go-live. Assess IT operating models, guide cross-functional collaboration, translate customer challenges into requirements and best-practice designs, manage roadmaps, risks, timelines, budgets, and resources, and communicate outcomes to technical stakeholders and executives. Partner with Sales, Solution Architects, and Engineers to drive adoption, value realization, delivery improvements, and customer success.

Manages scheduling, capacity planning, delivery governance, portfolio risks, and go-live readiness for data migration projects. Coordinates Sales, Project Management, Resource Management, customers, and technical delivery teams to meet commitments. Maintains schedules, dashboards, metrics, and documentation; leads post-project reviews and process improvements. Supports AI-powered automation, reporting, forecasting, and responsible AI governance while ensuring security, compliance, and data privacy.

Embed with strategic customers to lead end-to-end technical programs, applying AI-assisted engineering to accelerate delivery. Coordinate cross-functional teams, make data-driven decisions, manage risks, and cultivate reusable solution patterns and playbooks to scale impact.

Lead end-to-end delivery of hyperscale data center builds and capacity expansions. Translate capacity forecasts into technical program requirements, manage cross-functional execution with Engineering, Supply Chain, and Operations, mitigate schedule and budget risks, report KPIs to leadership, and establish scalable processes and SLAs for global build teams.

Own the electrical and electrical-distribution program scope for autonomous vehicle programs involving external engineering partners. Coordinate EE work packages, manage RASIC ownership, change control, data exchange, PLM and drawing releases, supplier readiness, milestone planning, risk recovery, and executive reporting. The role requires automotive low-voltage harness and electrical architecture expertise, partner management across time zones, and proficiency with engineering change processes, risk analysis, and root-cause methodologies.

Lead cross-functional programs spanning data platforms, databases, and storage infrastructure. Translate product and model needs into scalable architecture requirements, coordinate capacity expansion, resilience, recovery, migrations, lifecycle management, privacy, and operational adoption. Drive workload validation, cost and efficiency improvements, reliability, latency, and production readiness across engineering, product, model, data, database, storage, and infrastructure teams.

Lead cross-functional technical programs from definition through launch, coordinating scope, milestones, dependencies, risks, and success criteria. Build lightweight automations, improve product and engineering planning, evaluate developer workflow tools, optimize bug triage, and maintain clear documentation and communication. The role drives adoption of tools and processes that reduce coordination effort and improve delivery reliability. It requires technical fluency, strong written communication, independent execution, and the ability to influence teams without formal authority.

Leads complex technical programs supporting government and defense missions, managing scope, schedules, budgets, risks, customer relationships, and multidisciplinary teams. Provides technical direction across software development, cloud architecture, data engineering, operations research, analytics, and decision support. Oversees modeling, optimization, machine learning, dashboards, and executive recommendations while engaging senior government stakeholders. Supports proposals, capture activities, technical reviews, and continuous improvement initiatives.

Leads cross-functional technical programs involving global server hardware stability and cloud infrastructure. Coordinates engineering and operations teams across the program lifecycle, manages risks, dependencies, documentation, and stakeholder communications, and reports on program performance. The role requires vendor interaction, understanding server hardware specifications, Agile project management, and use of Jira and Confluence to support reliable delivery of complex technology initiatives.

Own a portfolio of technical partner relationships and lead complex integrations from requirements discovery through production launch. Coordinate Product, Engineering, Commercial, and Support teams, communicate program status and risks to leadership, promote platform APIs, define partner-success metrics, and create repeatable integration playbooks. Use AI tooling to automate documentation, status synthesis, and program-management workflows.

Leads technical program management for prototype sensor and compute hardware through high-volume manufacturing. Coordinates engineering, software, vehicle, product, manufacturing, quality, supply chain, finance, and contract manufacturing teams. Oversees roadmaps, schedules, production readiness, capacity planning, ramp milestones, budgets, resources, risks, and issue resolution. Establishes program processes and decision forums, communicates status to stakeholders, and manages Technical Program Managers.

Own end-to-end delivery of GPU clusters and data center infrastructure programs, coordinating engineering, networking, construction, vendors, contractors, and operations. Manage scope, schedules, risks, critical paths, technical requirements, commissioning, reporting, and executive updates. The role requires hands-on experience delivering large-scale physical IT infrastructure and supporting hyperscale AI workloads across the United States.

Leads multiple concurrent quantum computing R&D programs, translating research roadmaps into measurable execution plans and scalable technologies. Partners across applied research, engineering, product teams, and external organizations to prioritize work, manage risks, solve technical challenges, and advance quantum technologies toward fault-tolerant computing. Requires strong technical understanding of quantum hardware and software, exceptional communication, and extensive experience managing complex cross-functional technology initiatives.