A Strategic Account Executive plays a crucial role in driving revenue and building customer relationships within an organization. On a day-to-day basis, they are responsible for identifying potential clients, conducting sales presentations, and negotiating contracts to secure new business opportunities. They spend a significant amount of time researching market trends, understanding customer needs, and developing tailored solutions that meet those needs.
Duties/Responsibilities:
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Source, develop, and close net-new enterprise revenue by identifying high-potential opportunities, often in territories such as hospital systems, providers and payers.
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Build and maintain trusted relationships with C-level stakeholders (CIOs, CEO SVP Operations) to align AI initiatives with company business goals.
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Translate complex technical AI capabilities into clear business value, ROI, and operational impact.
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Develop comprehensive, long-term strategies to expand AI footprint within assigned accounts, often through tailored, "land-and-expand" motions. Act as a strategic bridge between enterprise AI strategy and functional execution, ensuring AI initiatives are aligned to measurable business outcomes including productivity gains, scale enablement, cost efficiency, and product innovation.
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Navigate long, multi-stakeholder sales cycles (often 12–18 months) involving complex legal, security, and data privacy negotiations.
Required Skills/Abilities:
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Background in selling Generative AI, LLMs, or specialized AI hardware (GPUs/Accelerators).
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Experience in high-growth, early-stage AI startups.
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Domain expertise in specific verticals (e.g., Finance, Healthcare, Cybersecurity).
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Ability to collaborate with cross-functional teams, translate business requirements into technical solutions, and deliver scalable, resilient systems.
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Strong technical fluency with the ability to translate product complexity into clear customer value
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Proven experience owning positioning, messaging, and go-to-market strategies for complex technology products.
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Experience marketing products to non-technical buyers or operational decision-makers
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Strong awareness of current trends in foundation models, enterprise AI platforms, and agentic workflows, with the ability to translate industry advancements into practical enterprise applications.
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Ability to operate effectively in fast-paced or early-stage environments.
Education and Experience:
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Bachelor’s degree in Healthcare Administration, Data Science, Computer Science, or related field
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3–7+ years’ experience in healthcare operations, analytics, or health tech
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7–12+ years of enterprise SaaS, data platform, or technical sales experience.
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Proven ability to understand AI/ML workflows, data platforms, and APIs.
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Fluency in enterprise sales methodologies.
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Background in selling Generative AI, LLMs, or specialized AI hardware (GPUs/Accelerators) preferred.
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Experience in high-growth, early-stage AI startups preferred.
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Domain expertise in specific verticals (e.g., Finance, Healthcare, Cybersecurity) preferred.
