Partnerships Manager, Data Sourcing (RCM)

Location: Remote

Company

hirify.global provides a secure, efficient, and privacy-centric platform for exchanging rights-protected AI training data.

What you will do

• Translate customer and prospect data needs into sourcing briefs covering modality, use case, volume, format, geography, timeline, rights requirements, and success criteria.
• Source and build relationships with data holders, aggregators, brokers, channel partners, healthcare organizations, and other supply partners across hirify.global’s verticals and modalities.
• Lead partner discovery and qualification, assessing capabilities, provenance, rights, licensing, exclusivity, privacy, de-identification, scale, technical maturity, and commercial potential.
• Progress partners through NDA, sample intake, Data Lab evaluation, feedback, diligence, deal structuring, contracting, activation, and handoff.
• Coordinate with Commercial, Data Lab, Solutions, Product, Legal, and Operations to support active deals, manage risks, and maintain stakeholder alignment.
• Build repeatable sourcing, qualification, partner-intake, pipeline-management, and handoff workflows while bringing market intelligence to leadership and functional teams.

Requirements

• Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, or a similar commercial and relationship-oriented function.
• Experience working in the revenue cycle market, either directly or as part of broader healthcare operations.
• Track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.
• Strong commercial judgment and the ability to prioritize partners based on customer value, quality, rights, feasibility, and sustainable commercial potential.
• Experience navigating multi-stakeholder work across external partners and technical, commercial, legal, and operational internal teams.
• Ability to quickly qualify data or technology opportunities by assessing use case, quality, provenance, rights, scale, timeline, economics, and decision-makers.
• Strong written and verbal communication, including the ability to explain nuanced data or AI training topics to customers, partners, researchers, operators, and executives.
• Operational rigor in pipeline and relationship management, including accurate records, clear ownership, defined next steps, and consistent follow-through.
• Comfort working with an incomplete playbook, changing priorities, complex work, and the need to protect rights, privacy, quality, delivery, and commercial sustainability.

Nice to have

• Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or two-sided marketplaces.
• Existing relationships with data aggregators, brokers, expert networks, content owners, healthcare organizations, media companies, or other real-world data holders.
• Experience evaluating samples or data products with technical teams.
• Familiarity with data provenance, privacy, de-identification, intellectual property, licensing restrictions, or exclusivity structures.
• Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, or operating infrastructure from scratch.
• Experience working across multiple verticals or modalities rather than owning one narrowly defined category.

Culture & Benefits

• Remote work in a lean, fast-moving, high-trust environment.
• Culture focused on integrity, resourcefulness, resilience, urgency, continuous improvement, kindness, candor, collaboration, and shared ownership.
• Opportunity to work on secure and privacy-centric AI training data infrastructure with customers, partners, and cross-functional teams.