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Bedrock Robotics

Data Operations Lead

Bedrock Robotics

. Own ongoing data collection support for the fleet, ensuring machines reliably produce, retain, and deliver terabyte-scale daily data volumes .

Posted 10/14/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing data operations, optimizing field deployment, and ensuring compliance with service level agreements. Proven ability to collaborate with engineering and product teams to enhance operational efficiency and data reliability.

Highest-signal resume keywords
Data Operations ManagementSLA DesignField Deployment LeadershipVendor Performance ManagementCustomer Relationship Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data CollectionOperational MetricsData Pipeline ManagementField OperationsMachine Uptime OptimizationCost AnalysisSimulation RunningData Center RequirementsTelematicsAutonomy
Soft Skills
Strong CommunicationRelationship BuildingTeam CollaborationLeadershipProblem Solving
Industry Keywords
Fleet ManagementDistributed TeamsNon-Exempt Employee ManagementContractual FrameworksHeavy Civil Customers

About the role

Key responsibilities & impact
  • Own ongoing data collection support for the fleet, ensuring machines reliably produce, retain, and deliver terabyte-scale daily data volumes
  • Own field operations across Autonomous, Bedrock Intelligence, and Data Collection machines
  • Own data yield as an operational metric alongside machine uptime
  • Partner with Engineering and Product to identify and reduce data loss in the pipeline
  • Build an economic service by defining SLAs, understanding costs, running simulations, and optimizing operations
  • Own field-side reliability of data pipeline offload, connectivity, storage, and handoff
  • Translate Engineering, ML, and product requirements into field-executable standards
  • Partner with Infrastructure, Product, Engineering, and Data teams on tooling, instrumentation, and roadmap development
  • Define data center needs and the playbook for bringing new data centers online
  • Define labor and third-party strategies for data collection and continuously improve performance
  • Own data operations organizational design, labor strategies, hiring, and development for data technicians and couriers
  • Build relationships with third-party service partners and oversee performance
  • Bridge field operations and internal engineering teams
  • Build customer relationships as needed and ensure compliance with active site rules and requirements

Requirements

What you’ll need
  • 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
  • Experience directly managing non-exempt employees or overseeing contingent staff
  • Track record owning operational metrics for a physical fleet at scale
  • Experience with SLA design and vendor performance management
  • Experience running operations for a customer-facing product against committed SLAs, or 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
  • 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
  • Preferred: background in autonomy, machine control, telematics, or connected fleet solutions
  • Preferred: experience operating a data collection fleet or equivalent field data infrastructure
  • Preferred: experience structuring in-house versus third-party service decisions and related contractual and performance frameworks
  • Preferred: established relationships with large general contractors, hyperscaler builders, or heavy civil customers
  • Preferred: understanding of data center requirements for data offload
  • Preferred: experience through a platform generation transition and/or introduction of new machine/equipment types
  • Legally authorized to work in the United States

Benefits

Comp & perks
  • Equal Opportunity Employer commitment
  • Reasonable accommodations for the hiring process
  • Hybrid work arrangement
  • Opportunity to work on advanced autonomous systems in construction
  • Work alongside construction veterans and world-class engineers