Product Operations Lead — Autonomy & Field Impact

Kodiak; Mountain View (CA); On-site; USD 115,000 - 130,000; Full time

Benefits offered by this job

Equity and annual bonuses

Medical, Dental, Vision insurance

Fidelity 401(k)

Flexible PTO + holidays

Catered lunch in-office

Job summary

Kodiak Robotics, Inc. in Mountain View, CA is seeking a Product Operations Specialist to bridge Product/Engineering with Operations. The role focuses on scalability, processes, and operational excellence for deploying autonomous vehicle technology.

You will design scalable processes, manage the feedback loop, test and deploy features, monitor KPIs, and communicate risks to leadership. This position requires 3+ years in related roles and a passion for AI-enabled workflows.

Qualifications

• 3+ years in Product Operations or similar in an operational-intensive tech company.
• Strong data-driven approach to process improvement and product decisions.
• Excellent communication and cross-functional collaboration skills.
• Willingness to work full-time in Mountain View, CA.
• Technical curiosity or nerdy inclination is a plus.
• Experience leveraging AI tools to streamline workflows is a plus.

Responsibilities

• Design, document, and stand up scalable operational processes.
• Own the feedback loop between Field Ops and Product/Engineering.
• Test, validate, and deploy new product features in field settings.
• Collaborate across Product, Engineering, and Field Operations.
• Drive timely execution in deployment and workflows.
• Define and monitor operational KPIs and report risks to leadership.
• Communicate progress, risks, and mitigation plans to stakeholders.
• Adapt to rapid, undefined spaces and changes.

Skills

Data-driven decision making

Analytical thinking

Communication skills

Kibana/Elastic

Education

Non-technical degree acceptable

Tools

Kibana/Elastic

Job description

Kodiak Robotics, Inc. in Mountain View, CA is seeking a Product Operations Specialist to bridge Product/Engineering with Operations. The role focuses on scalability, processes, and operational excellence for deploying autonomous vehicle technology.

You will design scalable processes, manage the feedback loop, test and deploy features, monitor KPIs, and communicate risks to leadership. This position requires 3+ years in related roles and a passion for AI-enabled workflows.