Product Analyst

Kodiak•San Francisco, CA

About The Position

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 Product Analyst to provide actionable insights that directly shape product development and customer-facing outcomes for commercially deployed driverless trucks. You’ll partner with Product, Engineering, Data and Operations teams to define success metrics, analyze system and product performance, interpret the underlying drivers and root causes and work across teams to translate findings into actions that accelerate product improvement and reliability.

Requirements

Analytical Rigor: 3+ years of experience in product analytics, data analysis, or related roles in high-growth tech environments; comfort structuring ambiguous problems into clear, data-driven insights.
Coding Proficiency: Python
Technical Fluency: Proficiency with BI tools (Looker, Tableau, etc), and the ability to query large datasets efficiently.
Comfort with Zapier, Replit, GPT-based tools, or similar platforms to prototype dashboards, automate reporting, and accelerate delivery of insights.
Business Acumen: Ability to connect the dots between technical metrics and real-world business outcomes (e.g., fleet utilization, cost per mile, customer adoption).
Storytelling Skills: Ability to translate complex data into narratives that influence product direction and decision-making.
Cross-Functional Collaboration: Track record of partnering closely with Product Managers, Engineers, Data and Ops teams to align data insights with customer and product priorities.
Domain Curiosity: Interest in autonomous systems, logistics, or mobility technology — eager to learn the nuances of safety, reliability, and scaling operations in autonomy.
Technical background with Masters degree or above in engineering, computer science or related field

Responsibilities

Define, track, and analyze product KPIs related to autonomy and operational performance, safety, customer experience and impact, productivity and reliability.
Partner across teams to understand root causes, derive insights and actionable recommendations, and define next steps
Partner across teams to design and evaluate experiments (e.g., feature rollouts, A/B tests).
Conduct deep-dive analyses on commercial deployments and customer usage to identify feature gaps and prioritize improvements.
Collaborate with the data team to improve tracking and instrumentation pipelines.
Build dashboards, reports, and lightweight GenAI automations (e.g., Zapier workflows, Replit-based prototypes) to give product and engineering teams visibility into performance trends.
Support executive and board-level discussions with product insights and customer impact metrics.
Occasional travel might be required to visit Kodiak’s commercial deployment and operations locations.

Benefits

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO 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
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)