This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Scale’s Robotics business unit is currently seeing historic levels of growth. As a Technical Program Manager (TPM) for Robotics Data, you will be the connective tissue across our most complex technical operations, driving initiatives that secure $XXM+ in new revenue. 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.
Job Responsibility:
Drive Multi-Project Outcomes: 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
Bridge the Technical-Operational Gap: 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
Architect Scalable Pipelines: 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
Manage Hardware & Logistics: Coordinate the setup, maintenance, and scaling of physical robotic platforms and data collection rigs across multiple sites
Enforce Data Quality & Governance: Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards
Standardize for Scale: Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection and annotation efforts across global, distributed teams
Communicate with Precision: Provide regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots
Requirements:
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: You are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment
Nice to have:
SQL Proficiency: Ability to pull your own data and build your own tracking dashboards
Global Experience: Experience interacting with distributed teams or collection sites across different time zones
Robotics Domain Expertise: Familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI
AI/CV Knowledge: Familiarity with Computer Vision or Large Language Model (LLM) training requirements