Level

OpenEvidence

Health System Partnerships

OpenEvidence is hiring a Health System Partnerships for a remote role open to applicants in United States. Level rates it ; you can apply on OpenEvidence.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions enterprise sales, healthcare partnerships and contracting among its tools and skills.
  • Level classes it as a senior role.
  • OpenEvidence has 7 other open roles on Level.

AI in this role

Drive enterprise partnerships and adoption of a leading clinical AI decision support platform across health systems.

enterprise-saleshealthcare-partnershipscontractingb2b-sales

About OpenEvidence

OpenEvidence is the most widely used clinical decision support platform among U.S. clinicians. According to independent studies, more American physicians use OpenEvidence than all other AI platforms combined, and it is used daily, on average, by 70% of U.S. clinicians to make high-stakes decisions at the point of care, grounded in and cited to peer-reviewed medical literature. We've built that reach with a team of fewer than 90 people, and the company is now valued at $15B, backed by Sequoia, GV, Kleiner Perkins, and Thrive Capital. Our enterprise partnerships with over 500 health systems and provider groups — including Cedars-Sinai, Mount Sinai, NewYork-Presbyterian, and Memorial Sloan Kettering — are how we bring that platform into the institution: secured, integrated, and connected to the system's own clinical priorities.

The role

Most enterprise sellers in healthcare spend years creating demand for products clinicians have never heard of. Here, the clinicians at the health system already use OpenEvidence. Your job is to turn that bottoms-up adoption into enterprise partnerships, then make those partnerships succeed.

You will own a portfolio of health systems end to end: executive engagement, deal structure, contracting (BAA/MSA/PAA), security and compliance review, deployment and integration scoping, launch, and ongoing growth. You'll work directly with CMOs, CMIOs, CIOs, and CEOs, and directly with our founding team.

What you'll do

  • Build and run a pipeline of health system partnerships, from first executive conversation through signed agreement, with clear ownership of outcomes for your portfolio.

  • Navigate enterprise procurement at health systems, including driving legal and privacy review, security assessments, AI governance committees, and clinical informatics stakeholders, in partnership with our Legal and Compliance team.

  • Scope and lead deployments with Engineering, including SSO, EHR integration, and rollout planning; then drive adoption, measure impact, and run executive business reviews that lead to expansion.

  • Act as a strategic advisor to health system leadership on how OpenEvidence maps to their clinical, quality, and operational priorities, while staying close to frontline clinicians.

  • Carry what you learn back to the team: you are the primary channel from health system partners to the engineers building OpenEvidence Enterprise.

You may be a good fit if you

  • Have 5+ years of enterprise sales or or revenue generating partnerships experience for software or AI products into health systems, including closing enterprise agreements with executive buyers.

  • Have run multi-stakeholder sales cycles through CMIO, CIO, CMO, legal contracting, security reviews, and an AI governance review actually involve.

  • Can work cross functionally with technical and clinical stakeholders, from security and integration teams to CMIOs and department leaders.

  • Have a track record of building net-new pipelines rather than inheriting accounts.

  • Think from first principles, are low-ego and rigorous, and are comfortable owning ambiguous problems in a fast-moving environment.

Strong candidates may also have

  • Experience at a healthcare AI company during its health system expansion.

  • Experience at a high-growth startup, including scaling a sales or partnerships organization through rapid growth.

  • Deep clinical informatics fluency; understanding OpenEvidence's product capabilities deeply.

This role is remote (US) with travel to partner sites as needed. This is a quota-carrying role; compensation includes base, variable, and equity.

How we rate this

Health System Partnerships at OpenEvidence rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Enterprise SalesHealthcare PartnershipsContractingB2b Sales

Questions you could be asked

  1. Tell me about a project where enterprise sales was part of your work. What did you do?
  2. Tell me about a project where healthcare partnerships was part of your work. What did you do?
  3. Tell me about a project where contracting was part of your work. What did you do?
  4. Tell me about a project where b2b sales was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Enterprise Sales, Healthcare Partnerships, Contracting, and B2b Sales. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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