Healthcare GTM Associate
Mercor · On site, San Francisco, US
120 000 - 130 000 USD / Год · Опубликовано 15 июл. 2026 г.
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О вакансии
ABOUT MERCOR
Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.
We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.
Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.
Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.
ABOUT THE ROLE
As a Healthcare Data Partnerships Associate, you'll help build out Mercor's data partnerships engine in healthcare. An integral part of our strategy is partnering with health systems, payers, EHR vendors, and other organizations that hold large, high-quality healthcare datasets to access new kinds of data at scale.
You'll be on the front lines of outbound — calling, emailing, and prospecting to build pipeline — while supporting deal-building and relationship management with a wide range of organizations. This is a great fit for someone early in their career who wants to learn hardcore sales and deal-making in a fast-moving, high-ownership environment.
WHAT YOU'LL DO
- Run high-volume outbound: calling, emailing, and prospecting to build and fill the partnership pipeline from scratch
- Help identify and prioritize potential data partners: health systems, payers, EHR vendors, life sciences companies, and other organizations with large, structured healthcare datasets
- Support the partnership cycle — outbound prospecting, pitch development, and deal coordination — alongside senior team members
- Book meetings and manage an active outreach cadence across calls, email, and LinkedIn to keep pipeline moving
- Help draft and organize materials for data licensing and data sharing agreements, including pricing, access terms, compliance requirements, and usage rights
- Contribute to building repeatable outbound processes, playbooks, and tracking metrics for the partnerships function
- Support ongoing partner relationships, helping with renewals, check-ins, and maintaining trust over time
- Work cross-functionally with product, engineering, and legal to support smooth data integration and regulatory compliance (HIPAA, de-identification, FHIR/HL7)
- Help represent Mercor at digital health conferences and industry forums to build brand and relationships in the HLS ecosystem
- Support market research and segmentation across provider, payer, BioPharma, and medical devices
WHAT WE'RE LOOKING FOR
- 2-4 years of experience in partnerships, BD, or sales, with real outbound / hardcore sales experience — you're not afraid of the phone
- Track record of hitting outbound activity targets (calls, emails, meetings booked) in a fast-paced sales environment
- Strong interest in healthcare data partnerships and eagerness to learn deal sourcing and negotiation
- Excellent written and verbal communication skills, comfortable interfacing with external stakeholders
- Familiarity with or strong interest in data licensing, IP deal structures, or de-identification frameworks
- Willingness to build knowledge of the healthcare data landscape: EHR vendors, data standards (FHIR, HL7), HIPAA compliance, and data governance
- Highly organized, detail-oriented, and comfortable managing multiple workstreams
- Resilient and persistent — comfortable with rejection and high call/email volume
- Self-motivated and comfortable with ambiguity in a startup environment
- A team player who's excited to grow into a more client-facing, ownership-heavy role over time
- Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.