Business Development, Physical AI Data

About the Role

The Data Partnerships Manager is responsible for building and managing a scalable network of data partners and environments for Physical AI data collection.

Responsibilities

• Partnership Strategy and Development
• Develop regional partnership strategies based on current and future data-collection needs.
• Identify and engage AI data providers, site owners, industrial parks, commercial groups and universities.
• Monitor market trends, competitors and industry events to expand the partner pipeline.

• Commercial Negotiation and Contracting
• Lead partnership discussions from qualification through contract execution.
• Negotiate pricing, capacity, deliverables, confidentiality, data rights and operational requirements.
• Develop scalable commercial models that support long-term data capacity.

• Site Launch and Execution
• Evaluate sites based on task diversity, accessibility, safety, privacy, cost and scalability.
• Coordinate site surveys, pilot collections, equipment setup, partner onboarding and launch readiness.

• Partner Management and Scaling
• Manage partner relationships and track performance across capacity, quality, cost and utilisation.
• Maintain an inventory of available environments, tasks and regional capacity.
• Expand successful partnerships across additional sites, scenarios and countries.

Qualifications

• 3+ years of experience in partnerships, business development, site expansion, vendor development, commercial operations or field operations.
• Direct experience in the AI data, data services or data infrastructure industry.
• Demonstrated ability to originate, negotiate and launch partnerships that move from initial contact to operational execution.
• Strong negotiation and stakeholder management skills.
• Ability to work independently in a fast-moving environment.

Required Skills

• Experience working with data-driven products, LLM training data, autonomous driving data, robotics data, or multimodal data.
• Existing relationships with factories, industrial parks, retail chains, logistics companies, hospitality groups, commercial property operators or universities.
• Familiarity with robotics, teleoperation, motion capture, multimodal data collection or autonomous systems.
• Background working cross-functionally and cross-culture teams.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.