5+ years of experience in healthcare partnerships, business development, or health tech
Proven track record in sourcing and negotiating complex partnerships
In-depth knowledge of healthcare data types and data management processes
Strong understanding of regulatory frameworks like HIPAA and data governance
Excellent relationship-building skills with C-suite leaders and data committees
Ability to handle operational details and execute foundational tasks
Willingness to work in a dynamic, fast-paced startup environment
Responsibilities
Develop and implement Kinetic's data partnership strategy
Identify and prioritize potential data partners based on strategic criteria
Create and manage the partner pipeline and outreach processes
Collaborate with cross-functional teams to ensure alignment on research goals
Establish success metrics for partnership effectiveness
Benefits
Founding-level impact and ownership
Opportunity to contribute to leading AI research in healthcare
Unlimited PTO to promote work-life balance
Comprehensive health, dental, and vision insurance
401(k) plan for retirement savings
Complimentary meals to support wellness
Full Job Description
The Role
As a Healthcare GTM Lead, you will help scale Kinetic's healthcare partnerships and GTM function. You will identify, negotiate, close, and manage partnerships with health systems, medical groups, specialty practices, data networks, and other organizations.
What You'll Do
Handle the end-to-end sales cycle with healthcare organizations and own a large chunk of the partner pipeline, including: outbound motion, pitch materials, CRM process, diligence checklist, and success metrics.
Work closely with researchers and engineers to align with overall engineering and research agendas
Who You Are
You have 5+ years of experience in healthcare partnerships, business development, data licensing, RWD, health tech, life sciences data, provider strategy, or enterprise healthcare sales.
You understand healthcare data: EHR data, claims, notes, imaging, labs, registries, FHIR/HL7, de-identification, tokenization, data quality, governance, and the practical messiness of getting data out of clinical systems.
You can credibly discuss HIPAA, de-identification, DUAs, BAAs, IRB/research review, data governance, information security review, and commercial data licensing structures.
You have strong executive presence and can build trust with health system C-suites, general counsel, privacy officers, clinical informatics leaders, research leaders, and data governance committees.
You are scrappy, high-agency, and willing to do unglamorous work: cold outbound, conference follow-up, contract redlines, data dictionaries, partner Q&A, procurement portals, and last-mile operational details.
Are comfortable working long hours in a high-intensity, early-stage environment
On-site or remote is equally acceptable
Founding-level impact and ownership
Leading AI research + healthcare expertise
Competitive compensation and meaningful equity
An opportunity to advance AI research in one of its most meaningful application areas
