Enterprise Account Executive (Healthcare & Life Sciences)

Salary: $200,000–$240,000 USD annually, plus potential equity and benefits.

Company

Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprise and government applications.

What you will do

• Own and expand strategic healthcare and life sciences accounts across providers, payers, pharmaceutical companies, biotech, and digital health organizations.
• Sell agentic AI solutions for clinical documentation, prior authorization, revenue cycle, patient engagement, clinical trials, pharmacovigilance, and medical affairs.
• Build relationships with executive stakeholders including CIOs, CTOs, CMIOs, Chief Data or AI Officers, and clinical, R&D, and commercial leaders.
• Develop account strategies, ROI models, business cases, mutual close plans, and forecasts for new business, renewals, and expansions.
• Partner with Solutions Engineering, Product, Research, and Delivery to design pilots, proof-of-value engagements, and production deployments.
• Guide sales processes through healthcare compliance requirements and communicate customer needs to product and research teams.

Requirements

• 8–12+ years of enterprise sales experience, with significant healthcare or life sciences focus.
• Proven success closing and expanding large, complex, multi-million-dollar deals in regulated environments.
• Experience selling AI/ML, data platforms, or workflow automation technologies, including LLM-driven solutions.
• Strong understanding of healthcare and life sciences workflows, including clinical operations, revenue cycle, clinical trials, and pharmacovigilance.
• Experience engaging executive stakeholders, developing ROI-driven business cases, and managing long, multi-stakeholder sales cycles.
• Familiarity with HIPAA, FDA/GxP, data privacy, model governance, and auditability requirements, plus strong account planning, forecasting, communication, and executive presence.

Nice to have

• 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.
• Experience in high-growth or emerging technology environments.

Culture & Benefits

• Inclusive and equal opportunity workplace with reasonable accommodation support.
• Comprehensive health, dental, and vision coverage.
• Retirement benefits, learning and development stipend, and generous paid time off.
• Potential commuter stipend and equity eligibility depending on role and location.
• Cross-functional environment focused on reliable AI systems and high-impact enterprise applications.

Hiring process

• Compensation is determined during the interview process based on location, skills, experience, qualifications, interview performance, and education or training.
• Candidates must wait 90 days before being reconsidered for the same role after an application.