Account Executive - Healthcare AI

Overview

You sell Sully's AI agent suite to healthcare organizations - hospitals, clinics, and private practices. You're positioning AI nurses, receptionists, scribes, and medical coders as solutions to reduce provider burnout and automate clinical/administrative workflows. You'll navigate complex healthcare buying committees (IT, clinical leadership, operations, compliance) and manage technical integrations with existing EHR systems.

Role Snapshot

Company Context

Stage: Series A/B (YC S21, ~68 employees, active hiring)

Size: 68 employees

Growth: Publishing case studies with major tech partners (Baseten/NVIDIA), reporting 21x ROAS and 30M+ minutes saved - signals they're in growth/scaling mode

Market Position: Category creator in healthcare AI agents - competing against general AI scribes and traditional healthcare software, not direct competitors with full agent suites

GTM Reality

Pipeline Sources:

• 30% Inbound - case study downloads, YC network referrals, healthcare conferences, word-of-mouth from existing customers
• 60% Outbound - cold calling practice administrators, hospital COOs, health system CIOs; LinkedIn outreach to clinical leadership
• 10% Partners - potential EHR partnerships, consulting firms advising healthcare orgs

SDR/AE Structure: Likely self-sourcing or small shared SDR pool (company size suggests early sales team)

SE Support: Shared solutions engineering for technical demos and EHR integration discussions

Competitive Landscape

Main Competitors: AI medical scribes (Nuance DAX, Abridge, Nabla), traditional healthcare workflow software, internal IT teams building custom solutions

How They Differentiate: Full suite of AI agents (not just scribes), purpose-built healthcare LLMs, proven ROI metrics (21x ROAS), EHR integrations already built

Common Objections: "How do we know the AI is accurate for clinical documentation?", "What about HIPAA compliance and data security?", "Our IT team is already overloaded, how hard is integration?", "We tried AI tools before and clinicians didn't adopt them"

Win Themes: Measurable time savings, comprehensive solution vs point products, healthcare-specific AI models, proven case studies with ROI data

What You'll Actually Do

Time Breakdown

Prospecting (35%) | Active Deals (40%) | Internal/Admin (25%)

Key Activities

• Cold outreach to healthcare orgs: You're calling/emailing practice managers, hospital administrators, health system executives. Most healthcare organizations don't respond quickly - expect lots of follow-up and voicemails.
• Running product demos: You demo the AI agents (showing how the AI nurse handles intake, how the scribe documents visits, how the receptionist schedules). You need to understand clinical workflows well enough to answer "how does this work with our specialty/workflow?"
• Navigating procurement: Healthcare sales involve IT security reviews, clinical validation committees, vendor onboarding processes. You'll spend weeks chasing signatures, waiting on legal review, and coordinating between 5+ stakeholders.
• Managing technical diligence: Working with your SE to answer questions about EHR integration, data security, HIPAA compliance, model accuracy. Expect detailed questionnaires and multiple technical review calls.

The Honest Reality

What's Hard

• Healthcare buying cycles are long and unpredictable - deals that look close in Q3 slip to Q1, then slip again. Budget cycles are rigid and you'll lose deals to "we'll revisit next fiscal year."
• You're selling change management as much as software - clinicians are skeptical of AI, IT teams are risk-averse, and adoption requires training and workflow changes.
• Multi-stakeholder hell: You need buy-in from clinical leadership (do doctors trust it?), IT (can we integrate it?), operations (will it save money?), compliance (is it HIPAA-secure?), and finance (can we afford it?). One person saying no kills the deal.
• The product is complex - you need to understand LLMs, EHR systems, clinical workflows, medical coding, and healthcare compliance to sell credibly.

What Success Looks Like

• Close 1-2 deals per quarter (given cycle length and deal size)
• Build a pipeline of 15-20 active opportunities at various stages
• Generate at least 5-8 qualified meetings per month through outbound prospecting
• Reference customers willing to talk to prospects (crucial for healthcare sales)

Who You're Selling To

Primary Buyers:

• Chief Medical Officers, VP of Clinical Operations (care about provider burnout, patient experience)
• COO, VP Operations (care about cost savings, efficiency metrics)
• CIO, VP IT (care about integration complexity, security, data governance)
• CFO, Finance (care about ROI, budget, contract terms)

What They Care About:

• Proven time savings and ROI (you'll lean heavily on the 30M+ minutes and 21x ROAS metrics)
• Clinical accuracy and safety - they need confidence the AI won't create liability or documentation errors
• Integration complexity - how much will this disrupt current workflows and IT infrastructure
• Compliance and security - HIPAA, data residency, audit trails, model explainability
• Adoption risk - will clinicians actually use it or resist it

Requirements

• 2-4 years selling B2B software, preferably in healthcare IT, clinical workflow tools, or enterprise SaaS
• Understanding of healthcare operations - you need to know what an EHR is, how clinical documentation works, what HIPAA compliance means
• Comfort with technical sales - you're selling AI/ML technology and need to discuss model performance, integrations, and data security credibly
• Experience navigating complex enterprise sales with 6+ month cycles and multiple stakeholders
• Willingness to travel occasionally for on-site demos and implementation kickoffs (healthcare buyers want to meet in person)
• Self-starter mentality - early-stage sales team means you're building process, not following a playbook