Data Operations Lead

The role

You will own ongoing data collection support for the fleet to ensure machines produce and deliver terabyte-scale daily data volumes. You will define data collection strategies, oversee field operations, and build the organization and systems to keep data flowing.

What you will do

• Own ongoing data collection support for the fleet
• Own field operations across Autonomous and Bedrock Intelligence machines
• Own field operations across Data Collection machines
• Own data yield as an operational metric
• Build an economic service by ensuring SLAs are clear and costs understood
• Own field-side reliability of the data pipeline offload, connectivity, storage, and handoff
• Translate Engineering, ML, and Bedrock Intelligence product requirements into field-executable standards
• Partner with Infrastructure, Product, Engineering and Data teams on tooling and roadmap
• Work with IT to define data center needs and the playbook for bringing new data centers online
• Define labor and 3rd party strategies to execute data collection

Required qualifications

• 8-10 years in operations, field deployment, or program leadership
• 3+ years working with distributed teams across multiple sites or regions
• Experience working with 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
• 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

Nice to have

• 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

About the company

Bedrock retrofits heavy equipment contractors already own, starting with excavators, to bring autonomy to the built world. The team includes veterans who helped launch Waymo, scaled Segment, and grew Uber Freight.