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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Operations Manager, Robotics Data - **Company:** The Robotics Foundry and Digital Greenhouse, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Customer Data Management, Data Governance, Operational Databases, Data Pipelines - **Published:** May 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1361c1962e0e48b4 ## About the Role Do you have experience in Workforce management?, * 3-5 years managing a contractor or hourly workforce of 30+ in a high-throughput operations environment (data collection, AV ops, manufacturing, fulfillment, clinical trials, field ops) * Proven ability to build workforce operations from the ground up and improve on existing programs * Comfortable owning operator scorecards, SOP execution, and standardization * Equally effective at a desk and on the floor, with deep hands-on experience running a shift and solving problems in real time * Track record tracking and improving operational metrics (throughput, quality, retention, certification rates) * Experience designing onboarding, certification, and performance management programs in a cross-functional environment * Collaborative by nature, you consider downstream impacts on data quality, engineering, and operators when making operational decisions * Bias toward action, scrappy problem solving, and moving fast without sacrificing rigor ## Description This role is for an Operations Manager who thrives on building and running a high-performance contractor workforce, equally comfortable designing onboarding programs from first principles and walking the floor to fix what's broken in real time. You will own the people-and-process layer that turns billable contractor hours into delivered, usable data, managing 50+ operators executing UMI gripper, egocentric, and VR teleop data collection against real customer contracts. You will stand up workforce operations from scratch and drive rapid build-test-learn cycles to deliver an operation that is both rigorous and scalable. You will partner closely with the Technical Program Manager, Robotics Data, to own rig calibration, QA spec, and the data pipeline handoff. Together you are accountable for whether the floor ships what the model teams need., * Own the end-to-end workforce lifecycle for 50+ operators, including sourcing, screening, hiring, onboarding, certification, performance management, and offboarding * Run the daily operations cadence, including shift planning, station assignments, breaks, and coverage * Manage shift leads (3-5 direct reports) and operate escalation paths into engineering * Build and review operator scorecards weekly, tracking success rate, rejection rate, and throughput, surfacing and managing the 60-95% quality variance common across operators * Design and execute a quality-first incentive structure * Build the onboarding curriculum and certification gating, ensuring no operator captures production data until certified on the rig and task * Run live floor QA, catching issues in real time against SOPs co-authored with the TPM * Execute operator training, certification, and pilot batch readiness when new tasks ramp up * Own fleet readiness on the floor, including daily rig health checks, in-shift swaps, spares staging, and ensuring every station is production-ready at shift start * Own contractor timekeeping, the payroll vendor relationship, and floor logistics including layout, station configuration, supplies, badging, safety, EHS, and facilities * Manage VR teleop floor logistics, including headset hygiene, motion sickness rotation policies, and controller battery and charging logistics * Run a continuous improvement program (Kaizen / 6S) focused on throughput, ergonomics, and station efficiency * Build the career ladder for top operators (operator senior trainer shift lead) * Define and report against operations-level OKRs for throughput, quality, and operator performance * Enforce data governance on the floor, ensuring operators handle customer data per contractual and regulatory requirements ## Related Videos - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Databases on Kubernetes: Why you should care](https://www.wearedevelopers.com/videos/74-databases-on-kubernetes-why-you-should-care) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Maximising Cassandra's Potential: Tips on Schema, Queries, Parallel Access, and Reactive Programming](https://www.wearedevelopers.com/videos/1167-maximising-cassandra-s-potential-tips-on-schema-queries-parallel-access-and-reactive-programming) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)