Product Strategy & Operations Associate, Kodiak Robotics
$125-150k
+ Equity + Annual Bonus + Various incentive programs (referral bonuses, patent bonuses, etc.)
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
Be an early applicant
$125-150k
+ Equity + Annual Bonus + Various incentive programs (referral bonuses, patent bonuses, etc.)
More information about location
Office located in Mountain View, CA
201-500 employees
Company mission
To carry freight forward - so people, partners, and the planet thrive.
Role
Who you are
- At least 2 year of post-undergraduate experience in strategy consulting, business operations, or a similar analytical role, e.g., Business Analyst (McKinsey), Associate (BCG), or Associate Consultant (Bain), or an equivalent Strategy & Operations / BizOps role at a technology company
- A degree in Industrial Engineering, Operations Research, or a related quantitative field, or equivalent demonstrated rigor in systems thinking and process optimization
- Strong structured problem-solving skills: you can break down an ambiguous question, build the analysis, and land a recommendation
- Highly analytical with a proven ability to use data to drive process improvements and product decisions; comfort working in tools like SQL, Excel/Sheets, or Kibana/Elastic is a plus
- Exceptional attention to detail and a track record of driving timely execution in complex environments
- Outstanding people and communication skills, with demonstrated experience working across diverse teams (e.g., Engineering, Field Operations, Product) and presenting to senior stakeholders
- A genuine interest in product development and a desire to work alongside Product and Engineering rather than advise from the outside
- Adeptness in leveraging generative AI tools to streamline workflows and enhance clarity and quality in stakeholder communication
- Must be willing to work full-time in the Mountain View, CA office, and travel up to 25% of the time to customer and deployment locations
- Additional experience in the following areas is also a plus:
- Autonomy, mobility, supply chain, logistics, or hardware/manufacturing operations
- Consulting or internship work on product, technology, or operations engagements
- Working in both a startup and a larger company environment
What the job involves
- We are seeking a sharp, analytical, and hands-on Product Strategy & Operations Associate to join our team in Mountain View, CA
- This role sits at the intersection of our Product, Engineering, and Operations teams
- You'll bring structured problem-solving and an operations mindset to the questions that shape how autonomous trucks get built, deployed, and scaled, and you'll do it embedded with the people building the product
- If you've been working in strategy or operations and want to get closer to product development and a Product & Eng-led organization, this is that move
- This role is based full-time in our Mountain View office
- Strategic Problem Solving: Scope ambiguous, cross-functional problems into clear analyses and recommendations, then drive them through to decisions with Product, Engineering, and Operations leadership
- Process Design and Scalability: Partner closely with Program, Engineering, and Ops to design, document, and stand up processes that support operational scalability for our autonomous vehicle technology
- Feedback Loop Management: Own the feedback loop between Field Ops and Product & Engineering, translating operational needs into prioritized, actionable product and engineering requirements
- Feature Deployment & Validation: Work with cross-functional teams to rapidly test, validate, and deploy new product features in an operationally-intensive environment
- Performance Monitoring: Define operational KPIs, build the analyses that track product performance in the field, and communicate insights and risks to stakeholders
- Stakeholder Communication: Provide clear, data-driven updates on product-related operational progress, risks, and mitigation plans to leadership and cross-functional teams
- Operational Excellence: Drive attention to detail and timeliness in product deployment and operational workflows
- Adaptability: Get gritty and operate in spaces that are not yet well defined and are subject to rapid and unexpected changes
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
21% employee growth in 12 months
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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