Hunt and close new enterprise healthcare customers for public cloud solutions. Own full sales cycle, engage C-suite and clinical stakeholders, articulate ROI and compliance value, partner with hyperscalers and internal teams, maintain pipeline and forecasts, and drive long-term customer relationships.
What You’ll Do
- Drive New Healthcare Business: Identify, target, and close new enterprise healthcare customers seeking to modernize clinical workflows, patient engagement platforms, data analytics, and core systems using public cloud solutions.
- Executive & Clinical Selling: Build trusted relationships with C-suite executives, IT leaders, and clinical stakeholders, translating cloud capabilities into measurable healthcare outcomes.
- Consultative, Value-Based Sales: Lead discovery and advisory conversations that clearly articulate ROI, operational efficiency, scalability, security, and compliance value in healthcare environments.
- End-to-End Sales Ownership: Own the full sales cycle-from outbound prospecting and qualification through proposal development, negotiation, and close.
- Healthcare-Focused Solutions Strategy: Partner with internal leadership, solution engineering, and delivery teams to design public cloud strategies aligned to payer and provider use cases.
- Partner & Ecosystem Engagement: Collaborate with hyperscalers (AWS, Azure, Google Cloud) and healthcare technology partners to co-sell and deliver joint healthcare solutions.
- Market & Regulatory Awareness: Stay current on healthcare IT trends, regulatory drivers (HIPAA, security, data privacy), reimbursement pressures, and competitive dynamics.
- Pipeline Discipline & Forecasting: Maintain accurate pipeline visibility, forecast predictably, and adhere to best-in-class sales hygiene.
- Relationship Management: Initiate and sustain executive-level engagement to ensure long-term customer value and satisfaction.
What You’ll Need
- 3+ years of enterprise or complex technology solution sales experience, with a strong preference for Healthcare IT and public cloud.
- Proven success closing large, complex healthcare deals ($1M+ ARR) and consistently exceeding quota.
- A true hunter mentality-self-directed, strategic, and relentless in new logo acquisition within healthcare.
- Strong understanding of public cloud platforms (AWS, Azure, Google Cloud) and healthcare cloud adoption drivers.
- Ability to engage, influence, and present to senior executives and clinical stakeholders.
- Exceptional business development, negotiation, and executive presence skills.
- Willingness to travel onsite to healthcare organizations for strategic meetings.
- Collaborative, team-first mindset with strong accountability.
What Will Make You Stand Out
- Ability to clearly articulate how public cloud enables better patient outcomes, clinician efficiency, data interoperability, and cost containment.
- Experience selling public cloud healthcare solutions involving EHRs, clinical data, analytics, security, or population health.
- Established relationships with healthcare CIOs, CTOs, CMIOs, CFOs, and payer leadership.
- Consistent track record of outperforming targets and closing net-new enterprise healthcare accounts.
Why You’ll Like Working Here
- A dynamic, fast-growing company that rewards top performers.
- Collaborative, innovative culture where sales leaders shape market direction.
- Access to continuous learning, certifications, and enablement programs.
- Competitive benefits including Medical, Dental, Vision, HSA, Life, 401K, unlimited vacation, stock options, and remote flexibility.
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Top Skills
AWS
Azure
Clinical Data Analytics
Data Interoperability
Ehr
GCP
Population Health
Security
ClearDATA San Francisco, California, USA Office
77 Geary Street, San Francisco, CA, United States, 94108
Similar Jobs
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Enterprise Account Executive will drive sales growth through strategic relationships with enterprise clients, focusing on big data and AI solutions while meeting revenue targets and leveraging Salesforce for tracking.
Top Skills:
SparkDelta LakeSalesforce
Software
The Account Executive drives strategic growth by managing key accounts, identifying new business opportunities, and deepening customer relationships while aligning SUSE's offerings with client needs.
Top Skills:
Artificial IntelligenceClariContainer ManagementEdgeHybrid CloudLinux InfrastructureSalesforceSecurity
Software
The Enterprise Account Executive manages strategic enterprise accounts, driving value for clients and maximizing company revenue through consultative selling, account planning, and collaboration with internal partners and resources.
Top Skills:
Suse Ai SuiteSuse Edge SuiteSuse Linux SuiteSuse Rancher Suite
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.png)