Lead Technical Program Manager, Platform Integration

Team: Product & Technical Program Mgmt

Location: Toronto, ON, San Francisco, CA, Pittsburgh, PA, Remote US & Canada

Commitment: Full-time

Workplace Type: hybrid

• 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.

• 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.

• 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!