Bedrock Robotics

Analytics Engineer

• Develop perception algorithms for re-id of vehicles on massive construction sites
• Extend, modify and adapt existing perception signals for analytics needs
• Work with customers to define and scope what is possible with advanced perception systems on-site
• Deploy models and analytics directly to fleets of machines

Machine Learning Engineer – Perception Analytics

Systems Engineer

• Partner with teams like Finance, Marketing, Field Operations, and PeopleOps as their technology consultant, turning business needs into concrete, well-documented plans the broader infrastructure team can execute against
• Own the layer of shared services that business systems are built on top of. New tools come in and you make them fit the environment cleanly rather than bolt on beside it. You see each rollout through to go-live.
• Build with the tools already in place: modify HCL to deploy a new service, wire up integrations in platforms like Zapier or Rippling's workflow engine, or write a small Python Lambda when the job calls for it
• Own the workplace technology standards for new sites, from internet connectivity to video conferencing, and deploy them across office expansions in San Francisco, New York, Austin, and Phoenix
• Coordinate the vendors and services behind each site buildout, staying accountable from first conversation to final handoff
• Co-author the Requests For Discussion (RFDs) behind major system rollouts, often guiding a business partner through their first, so Bedrock ends up with systems that fit the company rather than a stack that fragments with every new tool
• Pull in the right specialists, from the Identity lead for SSO to the wider infrastructure team for everything downstream, while remaining the accountable owner end to end
• Drive the evolution of the standards you own so every deployment lands better than the last

IT Systems Engineer

Operations

• Manage a distributed team of Fleet Technicians across multiple states
• Build technician schedules and ensure regional fleet commitments are met
• Handle regional fleet performance metrics and report regularly
• Conduct root cause analysis on field issues and manage parts inventory
• Ensure compliance with regulations governing field service operations
• Serve as the primary contact for customer relationships in the Central Region

Fleet Operations Regional Manager – Central Region

Full-stack Engineer

• Build and scale high-fidelity simulation environments for autonomous construction machines
• Develop simulation systems that support ML-based autonomy, evaluation, and safety validation
• Improve realism and performance to better reflect real-world behavior
• Help guide our strategy in scene generation and neural rendering techniques
• Write production-quality, hands-on code and build real simulation content—not just prototypes

Software Engineer, Simulation

Product Manager

• Spend significant time on active job sites, riding with operators, observing crews, and understanding how autonomous excavation fits into the broader earthmoving operation.
• Own Voice-of-Customer for supervisors, operators, and field teams. Develop a clear understanding of how work actually gets done, and use those insights to influence the product roadmap grounded in field reality.
• Design the workflows and interfaces that allow people to supervise, understand, and manage autonomous excavators safely and productively.
• Drive rapid cycles of observation, prototyping, and validation using modern AI-assisted development tools.
• Ensure every product works under real construction-site conditions, including dust, vibration, intermittent connectivity, and harsh lighting.
• Help define the next generation of human-machine interaction for autonomous equipment.

Product Manager, Field Experience

Technical Program Manager

• Build and own cross-functional deployment timelines and program rollup
• Serve as program owner for deployment launches
• Ensure launch readiness across engineering validation, operational readiness, and safety protocols
• Identify risks, dependencies, and critical path items; drive resolution
• Lead deployment reporting in program reviews, ensuring clear visibility into progress, blockers, and outcomes
• Build and evolve a repeatable deployment playbook
• Standardize processes and improve deployment framework using AI-driven workflows and tools
• Manage complex and first-of-kind deployments
• Provide additional coordination for high-complexity or early-stage programs
• Ensure alignment between internal plans and field execution
• Support onsite teams during critical launch phases as needed
• Define how partners interact with and operate autonomous systems in real-world environments
• Translate complex robotic systems into clear, practical, and scalable operating instructions
• Continuously evolve operating manual based on field learnings, edge cases, and customer feedback
• Enable consistent onboarding, training, and independent operation across partner sites

Technical Program Manager – Deployments

Controller

• Own and Scale Core Accounting
• Lead all accounting operations: GL, revenue recognition, AP/AR, payroll, consolidations, and equity accounting.
• Drive timely and accurate monthly closes and prepare internal and external financial statements under US GAAP.
• Oversee complex fintech accounting streams, including interchange, deposit interest, SaaS fees, and lending.
• Design and maintain internal controls for external audits and eventual SOX compliance.
• Build Scalable Infrastructure
• Own and improve our accounting systems; manage third-party integrations
• Partner with Product and Engineering to automate financial workflows — including revenue data pipelines, ledger mapping, and reconciliations.
• Ensure audit-traceable processes for high-volume, tech-driven financial data.
• Optimize Bedrock’s procure to pay systems; including the implementation of new purchasing software
• Finance Business Partnering
• Work closely with FP&A to align financial reporting with operating metrics and forecasts.
• Support board and investor reporting — including gross margin tracking, cost structure analysis, and scenario planning.
• Lead technical accounting memos for complex arrangements, such as embedded finance, multi-entity structures, or vendor contracts.
• Compliance and Audit
• Lead external audits and coordinate with tax, legal, and compliance teams on filings and regulatory requirements.
• Prepare for future SOX and public company standards (as applicable).
• Stay current on evolving fintech regulation and accounting treatments (e.g., ASC 606, Fair value etc.).

Global Controller

Data Scientist

• Own the scaling playbook for Bedrock’s Fleet & Data Operations from 6 active states to 15+ — including org structure, SLA design, and in-house vs. dealer/3P decisions.
• Develop and manage structured programs with CAT dealers, independent service providers, and technology partners across the East Coast and beyond, defining scope, performance standards, and accountability frameworks.
• Evaluate and onboard new vendors and distributor service arms; build the contractual and operational scaffolding (SLAs, rev-share structures, escalation paths) for sustained performance at scale.
• Serve as Bedrock’s primary operational point of contact for fleet partner relationships — including advanced technology groups at major CAT and OEM dealer networks.
• Translate lessons from dealer-ecosystem SLA and subscription service models into Bedrock’s upfit and maintenance operations.
• Provide field supervision for autonomy kit installations (upfit and de-kit) on customer CAT iron, ensuring every install is safe, repeatable, and fully reversible per Bedrock specification.
• Lead commissioning and acceptance processes at customer job sites coordinating Bedrock technicians, dealer service teams, and GC site personnel.
• Supervise and coordinate the rollout of new technology, tools, and process changes in the field; serve as the operational agent ensuring change lands correctly before scale-out.
• Drive new systems and software implementations into the field workflow including fleet management platforms, data collection tooling, and service management systems from pilot through full deployment.
• Troubleshoot and resolve escalations on machine uptime, data pipeline integrity, and install quality; own the loop back to engineering with structured field observations.
• Own and drive safety initiatives for the department to ensure technicians are safe and in alignment with Partner expectations and construction industry standards.
• Guarantee terabyte-scale data collection per machine per day defining processes and partner accountabilities to ensure engineering’s evaluation engine never goes dark.
• Set and manage machine uptime and turnaround SLAs across a distributed fleet; design the operational model (staffing, parts logistics, escalation) to meet them as headcount and geography expand.
• Build and run the operating cadence (WBR/MBR/QBR) for fleet performance: define KPIs, own the dashboards, drive the corrective actions.
• Partner with Engineering and Product to translate uptime and data quality requirements into field-executable standards and partner contracts.
• Manage a distributed team of mobile fleet technicians across the East Coast deployment footprint, with accountability for hiring bar, onboarding rigor, and field performance standards.
• Design the team structure, routing, and dispatch model to balance machine uptime response against the economics of a field workforce spread across multiple states and job sites.
• Partner with Commercial on customer-facing commitments; translate GC and hyperscaler expectations into operational requirements the fleet team can execute reliably with Partners.
• Mentor and develop field team leads & supervisors; build the management layer that keeps performance consistent as the team grows.
• Experience in an Advanced Technology Group (ATG) or construction technology P&L within a major CAT dealer, OEM, or heavy equipment distributor.
• Background in autonomy, machine control, or connected fleet solutions
• Familiarity with fleet data systems telematics platforms, data pipeline tooling, or IoT-adjacent infrastructure for heavy assets.
• Experience structuring and executing in-house vs. 3P build decisions for field service operations at scale.
• Prior experience with hyperscaler or large GC customer relationships in a technical operations or account role.
• Understanding of machine lifecycle economics: upfit → operate → de-kit → redeploy, including reversibility requirements and customer asset protection.

Program Manager, Fleet and Data Operations

DevOps Engineer

• Define and own the hardware reliability strategy, requirements, and budgets for autonomy upfit hardware across the vehicle platform.
• Plan and facilitate Design FMEAs across mechanical, electrical, and electromechanical subsystems.
• Build and maintain fault trees for safety-critical and availability-critical functions.
• Develop reliability block diagrams, reliability allocations, and predictions.
• Define and execute HALT/HASS, accelerated life testing (ALT), and environmental/durability test programs.
• Stand up and run a Failure Reporting, Analysis, and Corrective Action System.
• Embed reliability into design and milestone reviews.
• Partner with supply chain and vendors to qualify components and suppliers.
• Build reliability data pipelines and dashboards from warranty/field returns, machine telemetry, and test data.
• Maintain reliability deliverables and develop best-practice reliability processes.

Staff Reliability Engineer, Hardware

• Define end-to-end manufacturing test strategy across EVT, DVT, PVT, and production
• Develop scalable hardware test frameworks covering functional, system-level, and end-of-line testing
• Architect modular test systems that can evolve from prototype builds to high-volume manufacturing
• Establish test coverage goals to ensure detection of design defects, component quality issues, manufacturing process variation, and workmanship defects
• Design and implement functional test systems (electrical, mechanical, system-level validation)
• Develop automated test scripts and sequences using Python or similar languages
• Integrate test equipment (DAQs, sensors, vision systems, robotics interfaces, etc.)
• Build diagnostic tools to quickly isolate failures and reduce debug time
• Lead test bring-up for new products during EVT/DVT/PVT builds

Operations Manufacturing Test Lead

QA Engineer

• Establish and drive end-to-end quality strategy across hardware development and operations
• Lead Design for Quality initiatives, including DFM and DFA
• Partner with engineering teams during EVT/DVT/PVT phases for robust design validation
• Define and enforce quality gates, risk assessments, and validation plans
• Develop supplier quality strategy, including qualification and audits
• Own validation metrics and ensure performance and durability targets
• Analyze field performance data to identify issues and prioritize fixes
• Develop feedback loops from field to engineering to manufacturing

Quality Engineering Lead

Application Engineer

• Run evaluations on site data to predict autonomous performance and validate release readiness before the buckets start digging.
• Debug complex issues across the entire stack—from hydraulic sensors and compute hardware to high-level behavior. Employ a breadth of technical knowledge to dig into both onboard and offboard code to keep the mission moving.
• Collaborate closely with Partnerships to identify new customer sites that align with our product roadmap and provide technical feedback to our engineering team to influence the next generation of Bedrock systems.
• Translate "robot-speak" into value. You will lead discussions on site progression, explain how the system integrates into our customers’ work, and how to maximize its performance on a job site.

Robotics Application Engineer

Software Engineer

• Own the Fleet Engineering roadmap; enabling the scaling of autonomous operations across Operations, Deployments, Commercial, Supply Chain, and Platform/Infra through one coherent, defensible plan.
• Enable Bedrock’s autonomous scope expansion through fleet generalization: streamline the end to end bring up of new autonomous machine models and excavator tools.
• Deliver the fleet tools & agents that move the needle: a real-time fleet readiness platform, a field app for provisioning, calibration, and acceptance testing, and the issue-routing agents that connect field operators to engineering and back.
• Drive the shift from manual, tribal-knowledge processes to authoritative data stores and event-driven automation—establishing one record per machine as the source of truth and automating the happy path so engineering is pulled in only for genuine exceptions.
• Define and instrument the metrics that matter—fleet readiness, time-in-state, MTTR, provisioning effort, parts-shortage lead time—and run the function off the data.
• Hold deployment reliability and partner SLAs as a first-class constraint while the fleet grows, partnering closely with Fleet Ops on staffing and reliability models.
• Own Voice-of-Customer for field technicians and operators—get on real job sites, understand the work before you spec tools for it, and turn what you learn into a roadmap.
• Operate with a relentless sense of ownership for the reliability and growth of the fleet you support.

Product Manager, Fleet Engineering

Platform Engineer

• Build and operate the engineering platform that enables developers to build, test, and ship software efficiently and safely.
• Design and maintain scalable CI/CD systems, source control workflows, and developer productivity tooling.
• Create self-service platform capabilities that reduce operational burden on engineering teams and standardize common workflows.
• Improve software delivery performance by increasing build reliability, reducing feedback cycles, and eliminating sources of engineering friction.
• Develop automation, policy enforcement, and governance mechanisms that scale with organizational growth.
• Partner with engineering teams to identify bottlenecks and deliver platform solutions that improve productivity across the company.
• Drive initiatives that improve developer experience, engineering velocity, and software quality.

Developer Platform Engineer

Data Engineer

• You will design, build, and maintain robust, scalable data pipelines and ingestion workflows across a growing Data Lake;
• Define and enforce data quality standards, SLOs, and validation frameworks to ensure accuracy and reliability of critical data assets;
• Continuously optimize existing pipelines for performance and cost efficiency as data volumes scale;
• Expand and own our monitoring and alerting coverage — surfacing data issues before they become customer-facing problems;
• Drive best practices around data modeling, partitioning, and compute resource utilization;
• Also, you get to drive 100,000 lb excavators.