# Enterprise Account Executive (Healthcare & Life Sciences) at Scale AI > United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Ascaleai%3A4689919005 (read 2026-11-06). ## Facts (observed) - Company: [Scale AI](https://alderhq.app/companies/scale-ai) - Location text: New York, NY; San Francisco, CA; San Francisco, CA - Where it can be done from (inferred): United States (evidence: "Location: New York, NY; San Francisco, CA; San Francisco, CA") - Posted: 2026-04-28 (191 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/scaleai/jobs/4689919005 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: $207k–$259k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 2186): p25 $75k, median $120k, p75 $175k - H-1B filings at this company for similar roles, FY26: 10, median offered wage $190k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Licensed UK sponsor: registered as "Scale AI Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. ### You Will - Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives - Sell agentic AI solutions by mapping Scale’s capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review) - Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial) - Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption - Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions - Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments - Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process - Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions - Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools - Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail ### Ideally, You Will Have - 8–12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health) - Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments - Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders - Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance) - Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases - Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance) - Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline - Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities - Excellent communication, storytelling, and executive presence - High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset ### Nice to Haves - Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences - Background working with clinical, regulatory, or data organizations - Familiarity with EHR systems, clinical data, or real-world evidence platforms --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ascaleai%3A4689919005 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.