Lead and grow a team of autonomy perception TPMs, set program direction, translate strategy into roadmaps, manage schedules, risks, budgets, and stakeholder communications across autonomy software teams.
Zoox’s Autonomy Technical Program Management (TPM) team is seeking a leader to manage our autonomy perception TPM team. As the manager of our autonomy perception TPM team, you will partner with management on strategy, roadmapping, improvement of our development & release processes, and guidance of the perception team towards delivering Zoox’s needs. You will be responsible for a team of TPMs and handle performance, mentoring, career growth, retention, and hiring. You and your team will work with the various sub-teams and initiatives within the autonomy software organization and stakeholders across Zoox to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.
In this role, you will:
- Lead an experienced team of TPMs and leverage your technical & managerial skills to deliver high-impact results, while growing the TPM team through hiring & guiding the professional development of team members
- Set the program management direction for the autonomy perception TPM team, and iterate on our development processes
- Work with autonomy and perception software department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables.
- Create and deliver technical presentations that explain program initiatives to downstream consumer teams
- Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings
- Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments
Qualifications
- BS or MS degree in computer science, engineering or equivalent job experience
- At least 10 years of experience in engineering, program management, or management consulting
- At least 5 years of experience managing a team of technical program managers
- Deep familiarity with autonomy software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrixes, Smartsheet, JIRA, etc.)
- An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience
Bonus Qualifications
- Experience with Perception, AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes
- Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations
- Experience managing through other managers.
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads ServiceNow’s AI for Operations portfolio and manages AI Engineers delivering agentic AI, copilots, workflow automation, predictive analytics, and operational intelligence solutions. Defines strategy, roadmaps, governance, technical standards, resource allocation, and success metrics while partnering with global operations and executive stakeholders. Drives enterprise adoption, responsible AI practices, vendor evaluation, and measurable improvements in productivity, forecasting, automation, and employee experience.
Top Skills:
Agentic AiAPIsClaudeCloud ArchitecturesCopilotCopilot StudioDatabricksEnterprise Ai PlatformsLlmsServicenowSnowflake AiWorkflow Automation
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own strategy and execution for Workforce Engagement Management capabilities in CRM omnichannel contact centers. Lead AI-driven forecasting, scheduling, real-time channel monitoring, intraday optimization, coaching, skills management, and team performance experiences. Partner with UX, engineering, and data/AI teams to deliver scalable enterprise products, while applying explainable and human-controlled AI. Engage enterprise customers to validate requirements, drive adoption, and achieve measurable operational outcomes.
Top Skills:
AIChatCRMData AnalyticsOmnichannel Contact CentersSaaSVoiceWorkforce Engagement Management
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own the technical foundation for Moveworks’ Developer Experience platform. Design and build SDKs, APIs, runtime abstractions, tooling, and developer-facing services that improve productivity and integration velocity. Lead platform strategy, architecture, reliability, observability, and cross-team alignment while mentoring senior engineers. The role requires deep distributed-systems expertise, production microservices experience, and end-to-end ownership of scalable developer platforms used by numerous external teams.
Top Skills:
Agent OrchestrationAPIsDistributed SystemsLlm-Based ArchitecturesMicroservicesMulti-TenancyObservabilitySdks
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

