Lead Technical Program Manager, Platform Integration

Job Description

Job Description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit:

The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time.

You Will..

• 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.

Technical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area.

Self-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead.

Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations.

Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green.

Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.

The US yearly salary range for this role is: $171,000 - $243,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/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.
• As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.