Product Manager - Assisted Autonomy Software

Product Manager - Assisted Autonomy Software

Mountain View, CA

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology.

In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

Kodiak is seeking a highly skilled Product Manager to drive the development of our Assisted Autonomy solution that complements our Level 4 autonomous trucking solutions across different customer applications. This is an individual contributor PM role. In this role you will be the directly responsible individual for the full product lifecycle for your area of responsibility, which requires a unique blend of technical depth in operational systems, product sensibility, business acumen, and program execution rigor with a strong understanding of customer‑centric product deployment.

• Assisted Autonomy
  
  Roadmap:
  
  Build workflows for human‑in‑the‑loop support of our commercially deployed self‑driving trucks. Define and evolve the roadmap for the Assisted Autonomy software in our Industrial vertical, balancing near‑term milestones with long‑term scalability.
• Data‑Driven Prioritization: Deliver against tracked KPIs to increase speed to assist Kodiak Driver equipped trucks, and increase internal driver utilization while considering near‑term customer needs and long‑term Kodiak strategy—around driving performance and safety. Use data to identify failure modes, measure improvements, and prioritize engineering focus.
• Execution: Design and prioritize improvements in job dispatch, tele‑station capabilities, and functional safety. Partner with internal and external vendor teams to align development efforts with product requirements, drive process optimization and successfully deploy new features.
• Stakeholder Communication: Provide clear updates to leadership, internal teams, and customers on Assisted Autonomy feature development, and release management.

• 2+ years experience working in product management, ideally in marketplaces, logistics, robotics or autonomous vehicles
• A technical degree or equivalent work experience is required. A masters degree or above in engineering, computer science or a related technical field is preferred.
• Demonstrated experience in an end user‑facing high‑tech product through the full product lifecycle, from inception to commercial deployment and scaling.
• Comfortable leading strategy & execution in the midst of ambiguity and a dynamic market
• Experience building credibility and strong relationships within engineering and operations teams, and with external stakeholders and customers

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and Met Life (including a medical plan with infertility benefits)
• Met Life Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog‑friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA

The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job‑related factors including: work location, experience, relevant training, education, skill level and performance during…