Data Partnerships (Robotics)

Location: Boston (Somerville), United States; onsite

Company

hirify.global builds embodied foundation models, combining AI, robotics, data, and hardware to help robots intelligently interact with the physical world.

What you will do

• Own the data engine that supplies embodied foundation models with robotics data collected in real-world environments.
• Define data supply strategy, including buy-versus-build decisions and vendor mapping across data types and quality levels.
• Source, evaluate, pilot, contract, and scale data partners while maintaining quality, capacity, and cost control.
• Translate requirements from ML and engineering leads into partner-facing specifications covering volumes, environments, embodiments, task diversity, annotation schemas, and acceptance criteria.
• Structure pricing, rate cards, minimums, milestones, acceptance terms, MSAs, and SOWs while owning unit economics.
• Track partner performance, forecasts, cost, volume, and quality; report outcomes to research and improve subsequent data-collection cycles.

Requirements

• 6+ years owning external partners or vendors responsible for delivering a product or service, including supply chain, vendor management, outsourcing/BPO management, data operations, or partnerships with delivery obligations.
• Experience standing up a new vendor from selection and diligence through contracting, ramp, and ongoing management.
• Demonstrated ability to translate technical or specialist requirements into unambiguous instructions that non-technical execution partners can successfully follow.
• Fluency with pricing structures, SOWs, acceptance criteria, and unit economics, with judgment about terms that protect quality.
• Exceptional written communication for creating documents that unfamiliar operators can execute without direct support.
• Ability to operate with incomplete requirements, re-scope during execution, maintain partner relationships, and follow through consistently under pressure.
• Willingness to travel periodically to domestic and international partner sites and collection operations.

Nice to have

• Experience buying or managing data collection, annotation, or labeling at scale through managed workforces, crowds, or BPOs.
• Experience working close to an ML or research organization, with enough understanding of training data to challenge requests rather than merely relay them.
• Background in autonomous vehicles, robotics, hardware, or another domain where physical-world data acquisition is central.
• Experience rebuilding processes at a rapidly growing company after inherited processes stopped working.

Culture & Benefits

• Work directly across research, ML, engineering, legal, and external data partners.
• Operate on tight timelines while expanding data partnerships and operations into new geographies and modalities.
• Periodic domestic and international travel to partner sites and collection operations is part of the role.
• hirify.global is an equal opportunity employer and does not discriminate on legally protected characteristics.