Data Operations Lead
Hybrid (San Francisco, CA), Hybrid (New York, NY), Hybrid (Remote), Hybrid (Lockhart, TX)Full-timePosted 1w ago
About the role
Data Operations Lead to own ongoing data collection support for the fleet, ensuring terabyte-scale daily data volumes are produced, retained, and delivered. Field-forward leadership to build the data operations organization and systems, scale with fleet growth, and align data collection with Engineering and product needs.
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: higher monitoring frequency, faster response, and stricter data completeness than the data collection fleet, because customers are paying for and acting on what these machines produce.
- Own field operations across Data Collection machines at engineering product standards: define efficient means of data collection that still enable engineers with the critical data they need to mature our models.
- Own data yield as a first-class operational metric alongside machine uptime: what percentage of operating hours produce usable, complete, correctly-labeled data, and what is driving the gap. Work with engineering and product to prioritize and close places where data loss happens in the pipeline.
- Build an overall economic service by ensuring SLAs are clear and costs understood, run simulations to better understand network strategy and SLA trade-offs and to optimize operations.
- Own the field-side reliability of the data pipeline offload, connectivity, storage, and handoff and the operating cadence that catches degradation before Engineering or a paying customer discovers it downstream.
- 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.
- Team Leadership: 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.
Qualifications
- 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.
Skills
Required:Data operations leadershipOperational metrics designField operations managementStakeholder collaboration
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Bedrock Robotics
Advanced Autonomy for the Built World
Advanced Autonomy for the Built World
AutonomyBedrock Operatorautonomyheavy machineryindustrial automationindustrial roboticsmachine intelligenceon-site autonomy
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