Technical Program Manager, Robotics Data

Scale
San Francisco, CAPosted 20 February 2026

Job Description

<p>Scale’s Robotics business unit is currently seeing historic levels of growth. As a <strong>Technical Program Manager (TPM) for Robotics Data</strong>, you will be the connective tissue across our most complex technical operations, driving initiatives that secure $XXM+ in new revenue.</p> <p>This isn't a "sit back and watch" project management role. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats - from debugging hardware rigs to architecting data pipelines - and be excited about intense, impactful work that leads to accelerated career progression.</p> <h3><strong>You will:</strong></h3> <ul> <li><strong>Drive Multi-Project Outcomes:</strong> Serve as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world’s leading AI researchers.</li> <li><strong>Bridge the Technical-Operational Gap:</strong> Act as the central liaison between AI researchers, hardware engineers, and global operational teams to translate high-level research goals into executable data collection and annotation workflows.</li> <li><strong>Architect Scalable Pipelines:</strong> Partner with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models.</li> <li><strong>Manage Hardware Logistics:</strong> Coordinate the setup, maintenance, and scaling of physical robotic platforms and data collection rigs across multiple sites.</li> <li><strong>Enforce Data Quality Governance:</strong> Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.</li> <li><strong>Standardize for Scale:</strong> Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection and annotation efforts across global, distributed teams.</li> <li><strong>Communicate with Precision:</strong> Provide regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.</li> </ul> <h3><strong>Ideally, you’d have:</strong></h3> <ul> <li><strong>Strong Technical Foundation:</strong> A degree in Engineering, Computer Science, or a related field, combined with a deep understanding of the AI/ML data lifecycle.</li> <li><strong>2-3+ Years of TPM Experience:</strong> Proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.</li> <li><strong>Hands-on Problem Solving Skills: </strong>A proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.</li> <li><strong>Operational Grit:</strong> Experience "in the weeds" of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them.</li> <li><strong>Entrepreneurial Mindset:</strong> You are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.</li> </ul> <h3><strong>Nice to haves:</strong></h3> <ul> <li><strong>SQL Proficiency:</strong> Ability to pull your own data and build your own tracking dashboards.</li> <li><strong>Global Experience:</strong> Experience interacting with distributed teams or collection sites across different time zones.</li> <li><strong>Robotics Domain Expertise:</strong> Familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.</li> <li><strong>AI/CV Knowledge:</strong> Familiarity with Computer Vision or Large Language Model (LLM) training requirements.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>Compensation ... (truncated, view full listing at source)
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