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You should be prepared to wear many hats and be excited about intense, impactful work that leads to accelerated career progression.\\n\\nYour key responsibilities will include:\\n\\n<em> Driving multi-project outcomes: serving 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.\\n</em> Bridging the technical-operational gap: acting as the central liaison between AI clients, hardware engineers, and global operational teams to translate high-level goals into executable data collection workflows.\\n<em> Architecting scalable pipelines: partnering 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.\\n</em> Enforcing data quality &amp; governance: defining KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.\\n<em> Standardizing for scale: developing and refining Standard Operating Procedures (SOPs) that allow us to scale collection efforts across global, distributed teams.\\n</em> Communicating with precision: providing regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.\\n\\nTo succeed in this role, you will need:\\n\\n<em> A strong technical foundation: a degree in Engineering, Computer Science, or a related field, combined with a deep understanding of AI/ML.\\n</em> 2-3+ years of TPM experience: proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.\\n<em> Hands-on problem-solving skills: a proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.\\n</em> Operational grit: experience &quot;in the weeds&quot; of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them.\\n<em> Entrepreneurial mindset: you are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.\\n\\nNice to have:\\n\\n</em> SQL proficiency: ability to pull your own data and build your own tracking dashboards.\\n<em> Global experience: experience interacting with distributed teams or collection sites across different time zones.\\n</em> Robotics domain expertise: familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.\\n* AI/CV knowledge: familiarity with Computer Vision or Large Language Model (LLM) training requirements.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2f00084c-002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4663997005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$151,200-$189,000 USD","x-skills-required":["Technical Program Management","Robotics Data","AI/ML","Data Ingestion Pipelines","SQL","Dashboards"],"x-skills-preferred":["SQL Proficiency","Global Experience","Robotics Domain Expertise","AI/CV Knowledge"],"datePosted":"2026-04-18T15:36:47.197Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Robotics Data, AI/ML, Data Ingestion Pipelines, SQL, Dashboards, SQL Proficiency, Global Experience, Robotics Domain Expertise, AI/CV Knowledge","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":151200,"maxValue":189000,"unitText":"YEAR"}}}]}