Note: The job is a remote job and is open to candidates in USA. Waabi is a technology startup building Physical AI technologies for autonomous transportation, including commercial autonomous trucks and robotaxis. The Lead Technical Program Manager will own program-level execution across platform programs, coordinating hardware, software, autonomy, safety, and operations integration while managing dependencies, risks, testing, roadmaps, and executive reporting.
Responsibilities
- Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery
- Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in
- Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA
- Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates
- Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams
- Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing
- Champion tools to capture the single source of truth for program work, ensuring consistency across programs
- Build scalable tracking mechanisms and systematic processes that work at fleet scale
Skills
- 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs
- Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems)
- Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking
- Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week
- Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS)
- Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project
- Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making
- Familiarity with embedded systems and software development and the constraints that come with it
- Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus
- Experience establishing or scaling a triage process for field issues across engineering teams
- Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline
Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
Company Overview
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