Staff Technical Recruiter, Kodiak Robotics
AI/ML
$150-175k
+ Equity and annual bonuses
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
$150-175k
+ Equity and annual bonuses
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
- This role is ideal for a recruiter who combines strong technical credibility, ownership mindset, and operational rigor — someone who can influence hiring decisions while also executing at a high level
- 10+ years of full-cycle technical recruiting experience with at least 5 years in AI, robotics, autonomy, or related advanced engineering environments
- Strong network and demonstrated understanding of the robotics, AI/ML, and autonomy talent market, particularly in highly competitive hubs such as the San Francisco Bay Area
- Track record of hiring senior, staff, principal, and engineering management talent within AI/ML, perception, or distributed systems teams
- Strong ability to source, engage, and close passive candidates using diverse recruiting channels and targeted outreach strategies
- Comfort operating in startup to mid-size company environments with shifting priorities and evolving hiring plans
- Demonstrated ability to build technical credibility with engineering stakeholders and influence hiring decisions
- Experience using Greenhouse or similar ATS platforms to manage pipelines and reporting
- Excellent communication skills, strong ownership mindset, and a high sense of urgency in competitive talent markets
What the job involves
- We’re looking for a Staff Technical Recruiter to lead hiring for our AI/ML and Perception software teams
- This is a high-impact role focused on attracting and closing senior to leadership-level engineering talent in a competitive market
- You’ll partner deeply with technical leaders, shape hiring strategy, and build the pipelines that power our next phase of
- Own full-cycle recruiting for AI/ML and Perception software roles, from intake through close
- Build and engage senior and leadership-level candidate pipelines, with a strong focus on passive talent
- Partner closely with hiring managers and engineering leaders to define hiring strategy, role calibration, and talent profiles
- Deliver a high-quality, responsive candidate experience that reflects Kodiak’s values and technical bar
- Develop a strong understanding of Kodiak’s autonomy technology and articulate our mission, roadmap, and technical challenges to candidates
- Maintain accurate recruiting data and pipeline hygiene in Lever to support hiring visibility and decision-making
- Identify and drive process improvements that increase hiring efficiency, quality of signal, and close rates
- Contribute to broader recruiting initiatives including market mapping, employer branding, and interview process design
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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