Product Manager, Kodiak Robotics

Assisted Autonomy Software

$150-190k

+ Equity and annual bonuses

Junior and Mid level

San Francisco Bay Area

More information about location

Office located in Mountain View, CA

Self-driving technology for long-haul trucks

Be an early applicant

Self-driving technology for long-haul trucks

201-500 employees

B2BArtificial IntelligenceLogisticsFreightSupply ChainAutomation

Be an early applicant

$150-190k

+ Equity and annual bonuses

Junior and Mid level

San Francisco Bay Area

More information about location

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceLogisticsFreightSupply ChainAutomation

Company mission

To carry freight forward - so people, partners, and the planet thrive.

Job

Company

Role

Who you are

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
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 the job involves

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
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 KodiakDriver 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, telestation 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

Our take

Global supply chains rely on frictionless long-haul trucking freight networks, but the repetitive and stationary nature of the job has resulted in a lack of willing drivers. Whilst this has been partially resolved through the introduction of self-driving trucks, such systems are notoriously difficult to maintain which ultimately leads to significant downtime.

Kodiak Robotics develops self-driving technology for long-haul trucks, providing wing mirrors built with sensors called Kodiak SensorPods. These sensors provide the technology necessary for the trucks to be driven safely and autonomously and have been designed to be replaced or serviced rapidly to minimize downtime.

odiak Robotics has taken a unique approach by recognizing the high-maintenance nature of existing self-driving systems, innovating upon this through its easily replaceable SensorPods. Through this approach and several successful rounds of funding, the company aims to fill empty truck driving positions with safer AI drivers.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

21% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 3 rounds)

Sep 2023

$75m

CONVERTIBLE

Nov 2021

$125m

SERIES B

Total funding: $240m

Company benefits

Remote-friendly work environment
401k
Generous PTO policy
Life insurance
Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
Family-friendly company events
Dog-friendly office
Employee-driven fitness classes
Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
Free EV charging
Trivia and board game nights

Company HQ

Mountain View, CA

Leadership

Don Burnette

(CEO & Founder)

Experience as Co-founder of Otto. Software Technical Lead at Uber from 2016 to 2018.

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