Kodiak Robotics

Product Operations Manager

Kodiak Robotics$90K — $130K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in Product Operations, Technical Program Management, or a related field
  • Strong analytical skills with expertise in using data, such as Kibana/Elastic
  • Exceptional attention to detail and timely execution in complex environments
  • Excellent communication skills with experience in cross-functional teamwork
  • Comfortable working in a full-time, on-site position in Lancaster, TX
  • Demonstrated technical aptitude or interest is preferred
  • Familiarity with generative AI tools for process improvement and communication

Responsibilities

  • Design and document processes for operational scalability of autonomous vehicle technology
  • Manage feedback loops between field operations and product engineering teams
  • Test and deploy new product features in a fast-paced environment
  • Facilitate collaboration between product, engineering, and operations teams
  • Drive operational excellence in product deployment and workflows
  • Define and monitor key operational performance indicators
  • Communicate product-related updates and risks to stakeholders

Benefits

  • Competitive compensation package including equity and annual bonuses
  • Comprehensive medical, dental, and vision plans with unique benefits
  • Flexible paid time off and generous parental leave policies
  • Office perks such as catered lunches and a stocked kitchen
  • Robust wellbeing benefits including mental health resources and gym memberships
  • 401(k) with Fidelity and various flexible spending account options
  • Incentive programs including referral and patent bonuses
Full Job Description
We are seeking a highly motivated and detail-oriented Product Operations Specialist to join our team in Lancaster, TX. This role bridges the gap between our Product/Engineering teams and our Operations/Field teams. You will own optimizing, and developing mechanisms that enable product operations to scale our operational footprint. This role is based full-time in our Lancaster office. In this role, you will: • 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 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. • Cross-Functional Collaboration: Act as a liaison between Product, Engineering, Field Operations, and other teams to ensure alignment and smooth feature adoption. • Operational Excellence: Focus on driving attention to detail and timeliness in product deployment and operational workflows. • Performance Monitoring: Define operational KPIs and monitor product performance in the field, communicating 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. • Adaptability: Ability to get gritty and operate in spaces that are not yet well defined and are subject to rapid and unexpected changes What you'll bring: • 3+ years of experience in Product Operations, Technical Program Management, or a similar role at an operational-intensive technology company. • Highly analytical with a proven ability to use data to drive process improvements and product decisions, e.g., Kibana/Elastic. • 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). • Must be willing to work full-time in the Lancaster, TX office. • A non-technical degree is acceptable, but evidence of some technical aptitude or "nerdiness" is a plus. • Adeptness in leveraging generative AI tools to streamline workflows and enhance clarity and quality in stakeholder communication. • Additional experience in the following areas is also a plus • Operations research, industrial engineering, and/or process optimization • Autonomy, mobility, supply chain, or logistics • Working in both a startup and a larger company environment What we offer: • Competitive compensation package including equity and annual bonuses • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance • Flexible PTO, 10 paid holidays, and generous parental leave policies • Office perks: free catered lunch, a fully stocked kitchen • Long Term Disability, Short Term Disability, Life Insurance • 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 • Various incentive programs (referral bonuses, patent bonuses, etc.)

About Kodiak Robotics

Kodiak Robotics is a startup that is developing autonomous trucks for long-haul freight transportation. The company was founded in 2018 by Don Burnette and Paz Eshel, both former employees of the self-driving truck company Otto. Kodiak's trucks use a combination of sensors, cameras, and software to navigate highways and other roads without a human driver. The company has raised $40 million in funding from investors including Battery Ventures and CRV. Kodiak is headquartered in Mountain View, California, and has a testing facility in North Texas.
Learn more about Kodiak Robotics
Size
101 employees
Market Cap
$347.1 million
Industry
Net Income
-$133.1 million
Founded
2016
NASDAQ

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