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

Lead and manage data annotation projects: design annotation tasks and ontology, create processes and documentation, coordinate with ML/engineering, annotate data when needed, and ensure high-quality labeled data delivery.

Leads strategic, cross-functional technical programs for PSA’s grading operations software. Partners with engineering, product, design, and business stakeholders to prioritize initiatives, manage dependencies, communicate milestones, improve processes, support developer operations, and deliver complex releases. The role also develops organizational training, standardizes scalable processes, advocates for customers, and uses automation and AI tools to improve execution and business outcomes.

Leads complex, cross-functional technical transformation and planning programs across engineering, product, analytics, and other teams. Establishes data-driven operational frameworks, improves software delivery processes, manages risks and dependencies, aligns stakeholders, supports change adoption, and drives continuous improvement across the organization.

Leads technical program management for Microsoft Quantum partnerships, translating engineering roadmaps, architecture, dependencies, and risks into executable plans. Owns technical requirements, partner evaluations, acceptance criteria, governance, and delivery outcomes for quantum hardware, components, systems, capacity, and services. Partners with engineering, business development, finance, legal, sourcing, compliance, and executives on procurement, contracts, negotiations, and long-term roadmap alignment. Also applies responsible AI and agentic solutions to accelerate engineering and laboratory workflows.

Lead technical program management for generative AI healthcare products: plan initiatives, translate product requirements into technical specs, manage SDLC and scrum, coordinate UAT and deployments, track schedules and risks, and drive cross-functional execution and stakeholder communication.

Lead end-to-end technical programs across multiple teams using Azure DevOps and Portfolio++. Define roadmaps, manage dependencies, run Agile ceremonies, surface and resolve risks, build PMO practices, and deliver executive-ready status and dashboards to ensure predictable, outcome-driven delivery.

Lead strategy and execution for NVIDIA Hardware EDA infrastructure programs, including cluster bring-up, decomposition, operations, modernization, and cloud migration. Coordinate engineering teams and cross-company partners, establish planning and reporting standards, manage dependencies, and use metrics, OKRs, and KPIs to measure outcomes. Drive operational excellence, automation, continuous improvement, communication, and alignment across technical and business stakeholders.

Leads strategy and execution for NVIDIA’s Hardware EDA infrastructure programs, including bringup, operations, modernization, cluster scaling, automation, and platform migration. Coordinates cross-functional engineering efforts, establishes planning and reporting processes, manages dependencies and risks, and uses metrics, OKRs, and KPIs to measure outcomes. Requires deep experience with EDA infrastructure, semiconductor design workflows, distributed computing, software development, and technical program management.

Lead complex, enterprise-scale cybersecurity programs and portfolios across Microsoft. Translate CISO strategy into roadmaps, operating models, governance, and reusable capabilities; align senior technical and business stakeholders; manage risks, dependencies, and tradeoffs; use AI, telemetry, and evidence to measure outcomes and course-correct; and advise executives on strategy, investments, and execution.

Support the CTO by managing technical operations, coordinating projects and milestones, capturing action items, organizing technical documentation, managing executive calendar and communications, and liaising across departments while working across US and Korea time zones.

Leads complex, cross-functional infrastructure programs spanning compute, networking, storage, observability, hardware, and datacenter operations. Owns program planning, milestones, dependencies, risks, and execution across multiple workstreams. Partners with engineering, operations, security, platform, and leadership teams to deliver network expansions, datacenter growth, hardware rollouts, GPU platform deployments, and infrastructure readiness. Provides leadership updates and improves execution frameworks, tooling, and program visibility.

Lead end-to-end development and deployment of sodium-ion energy storage system projects. Manage cross-functional engineering, product, supply chain, operations, customer, supplier, and partner stakeholders; define project plans, timelines, budgets, and requirements; mitigate risks; track KPIs and deliverables; communicate status; and improve execution processes while incorporating industry, technology, and regulatory developments.

Own the cross-functional program for delivering Claude models and applications into public sector environments. Coordinate research, infrastructure, security, compliance, cloud partners, and product engineering across government segments. Drive FedRAMP and related authorization programs, sequence dependencies, manage risks and escalations, represent public sector requirements in launch planning, and establish repeatable processes for compliant deployments.

Owns end-to-end delivery of data center network infrastructure, including fabric turn-ups, backbone deployments, and peering expansions. Translates capacity forecasts and architecture into technical program requirements, plans, schedules, and dependencies. Leads cross-functional execution across networking, architecture, supply chain, and data center operations; resolves hardware, optics, cabling, and automation issues; reports risks and KPIs to leadership; and establishes scalable deployment processes.

Drive cross-functional execution of onboard autonomous driving and machine learning programs. Manage schedules, risks, dependencies, milestones, and stakeholder communications across engineering, research, product, and release management. Contribute to strategic planning and technical roadmaps for foundation models, resolve roadblocks, and report program progress and KPIs to leadership. The role requires technical program management experience in software environments and familiarity with machine learning models, training pipelines, and evaluation frameworks.

Lead cross-functional technical programs for ChatGPT multimodal products, spanning production-signal mining, model evaluations, data pipelines, research-to-production parity, inference, GPU capacity planning, multilingual data collection, and voice and image-generation launches. Establish operating mechanisms, metrics, ownership, and decision processes while coordinating research, engineering, product, Human Data, safety, vendors, and external partners.

Own software program execution across navigation services, mission operations, and flight software. Manage schedules, releases, dependencies, risks, cross-functional coordination, reporting, and software-hardware interfaces. Build lightweight automation, tooling, integrations, and reporting systems while supporting development through live and on-orbit operations. The role requires software fluency, hardware-adjacent experience, strong systems thinking, and the ability to coordinate complex aerospace programs.

Lead complex technical programs involving software, infrastructure, data center deployments, utility integrations, and strategic partners. Align roadmaps, milestones, dependencies, and deliverables across engineering, product, operations, and external stakeholders. Translate technical requirements and system designs, establish program processes, manage cross-company risks, and support partner integrations. The role requires strong technical fluency, cross-functional leadership, communication, problem-solving, and execution in an ambiguous startup environment.

Own end-to-end technical data and evaluation programs for frontier AI labs, coordinating requirements, milestones, vendors, quality assurance, delivery, and retrospectives. Translate ambiguous technical needs into executable plans, improve data quality and production workflows, manage cross-functional dependencies, and partner with research, platform, and marketplace teams to inform product improvements.

Own end-to-end delivery of large-scale bare metal GPU and AI Cloud infrastructure programs. Lead planning, procurement readiness, data center deployment, cluster commissioning, software enablement, production readiness, customer onboarding, and operational handoff across multiple sites. Coordinate engineering, data center operations, supply chain, vendors, security, networking, and customer teams while managing risks, dependencies, schedules, governance, executive communications, and continuous process improvements.

Lead large-scale technical programs across Netflix’s infrastructure, AI, developer, or data platforms. The role partners with engineering, product, and executive stakeholders to define ambiguous problem spaces, create execution plans, manage dependencies and risks, influence technical roadmaps, and deliver scalable, secure, reliable GenAI and distributed-systems capabilities.

Lead internationalization and localization technical programs from product discovery through release. Own Phrase or comparable TMS configuration, APIs, integrations, AI-enabled translation workflows, and localization platform strategy. Define i18n standards, support RTL and locale-aware behavior, coordinate testing and defect triage, automate workflows, manage dependencies and risks, and partner with Product, Engineering, UX/UI, Localization, and testing teams.

Leads federal IT program execution across multiple task areas, coordinating contractor and subcontractor teams, Agile delivery, transitions, governance, reporting, staffing, costs, schedules, risks, and customer engagement. Serves as the primary government-facing accountability point, manages program artifacts and dashboards, chairs technical meetings, oversees contractual performance, and drives corrective actions and continuous improvement.

Leads cross-functional manufacturing programs to scale vehicle production. Responsibilities include developing roadmaps, schedules, validation plans, launch readiness activities, resource plans, and manufacturing strategies; coordinating suppliers and engineering teams; supporting assembly and testing; mitigating risks; tracking costs; resolving roadblocks; and communicating progress to leadership.

Owns end-to-end software and vehicle release operations, including release trains, branching, build triage, hotfixes, release communications, and compliance gating. The role drives automation, predictive prevention, AI/ML-enabled triage, auditable safety practices, and scalable change control across engineering, safety, hardware, and test teams in a safety-critical autonomous vehicle environment.