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About the Role

We are seeking a Data Operations Lead to own ongoing data collection support for the fleet, ensuring machines reliably produce, retain, and deliver terabyte-scale daily data volumes. You will define data collection strategies, oversee execution, and ensure the critical data our Engineering teams rely on is available.

Responsibilities

Own ongoing data collection support for the fleet ensuring machines in the field reliably produce, retain, and deliver the terabyte-scale daily data volumes Engineering depends on.
Own field operations across Autonomous and Bedrock Intelligence machines at customer and engineering product standards.
Own field operations across Data Collection machines at engineering product standards.
Own data yield as a first-class operational metric alongside machine uptime.
Build an overall economic service by ensuring SLAs are clear and costs understood.
Own the field-side reliability of the data pipeline offload, connectivity, storage, and handoff.
Translate Engineering, ML, and Bedrock Intelligence product requirements into field-executable standards, and translate field constraints back into realistic commitments.
Partner with Infrastructure, Product, Engineering and Data teams on tooling, instrumentation, and the roadmap for reducing manual effort in data operations as fleet size grows.
Work with IT to define the data center needs for efficient data upload and the playbook to bring a new data center online for data offload purposes.
Define labor and 3rd party strategies to execute data collection. Monitor and continuously improve performance.
Own data operations org design, labor strategies, and hiring and development for data technicians and couriers.
Build strong relationships with 3rd party service partners and oversee performance to specifications.
Be the bridge between active operations in the field and internal engineering teams that are customers of the data.
Build strong relationships with Customers as needed and ensure Bedrock employees and representatives comply with all active site rules and requirements.

Requirements

8-10 years in operations, field deployment, or program leadership, including 3+ years working with distributed teams across multiple sites or regions.
Experience working with non-exempt employees and experience either directly managing non-exempt employees or overseeing contingent staff.
Track record owning operational metrics for a physical fleet at scale, including SLA design and vendor performance management.
Experience running operations for a customer-facing product against committed SLAs, or an equivalent paid-service operation.
Experience partnering with Engineering or Product as the operational voice in platform and roadmap decisions.
Comfort in an early-stage environment where the playbook is written in real time, paired with the discipline to write it down.
Strong written and verbal communication with customer executives, dealer partners, and internal leadership.
Willingness to travel approximately 30% to job sites, dealer facilities, and partner locations.
Background in autonomy, machine control, telematics, or connected fleet solutions.
Experience operating working with a data collection fleet or equivalent field data infrastructure.
Experience structuring in-house versus third-party service decisions and the contractual and performance frameworks behind them.
Established relationships with large general contractors, hyperscaler builders, or heavy civil customers.
Understanding of data center requirements for data offload.
Experience working through a platform generation transition and/or the introduction of new machine/equipment types.

Skills

Data collection strategies
Data yield management
SLA design
Vendor performance management
Platform and roadmap decision making
Written and verbal communication
Autonomy
Machine control
Telematics
Connected fleet solutions
Data center requirements

Location

Field-forward role
Active job sites
Dealer facilities
Bedrock offices

Work Type

Field-forward
Travel approximately 30%

Experience Level

8-10 years in operations, field deployment, or program leadership
3+ years working with distributed teams

About the Company

At Bedrock, we're moving AI out of the lab and into the real world.
Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue.
Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world.
In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots.
You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch.
If you're ready to do meaningful work on hard problems, we'd love to have you join us.

Equal Opportunity

Bedrock Robotics is an Equal Opportunity Employer.
We're committed to building a diverse and inclusive workplace.
We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations.
We want our hiring process to be accessible to everyone.
If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.