We're seeking a Technical Program Manager to drive multi-project outcomes and bridge the technical-operational gap across our robotics business unit.
As a key member of our team, you will 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.
You will 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.
Partner with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data required for Vision-Language-Action (VLA) models.
Coordinate the setup, maintenance, and scaling of physical robotic platforms and data collection rigs across multiple sites.
Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.
Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection and annotation efforts across global, distributed teams.
Provide regular, data-driven progress updates to Scale's executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.
Ideally, you'd have a strong technical foundation, a degree in Engineering, Computer Science, or a related field, combined with a deep understanding of the AI/ML data lifecycle.
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.
Hands-on problem-solving skills, a proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.
Operational grit, experience 'in the weeds' of operational challenges – you don't just identify bottlenecks; you build the solution to clear them.
Entrepreneurial mindset, comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.
Nice to haves: SQL proficiency, global experience, robotics domain expertise, AI/CV knowledge.
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