Sales Development Representative (Healthcare)
stack-ai · NYC Office ·
- Work mode
- Hybrid
- Category
- Sales
- Experience
- 2+ years
About the Company
StackAI (by Asana) is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows easily. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and bring AI into the hands of every business operator, not just developers. An Asana Company, we're building the foundational platform for the AI-driven future of work
About the Role
We're hiring a Healthcare Sales Development Representative (SDR) to generate a qualified pipeline across health systems, Med device, providers, and digital health companies through outbound prospecting and inbound follow-ups. As an early hire on our healthcare go-to-market team, you'll help shape our motion and messaging, and play a fundamental role in onboarding potential customers.
What You'll Do
Prospect & outreach: Identify and engage target healthcare accounts via email, LinkedIn, cold calling, organizing events (led by you), and attending healthcare conferences.
Qualify & coordinate: Run first-call discovery, identify decision makers, book meetings for AEs, and surface healthcare use cases like patient intake, revenue cycle, call center QA, and clinical documentation.
Build relationships: Nurture champions and connect with decision makers across clinical, operations, and IT.
About You
2+ years in BDR/SDR or sales (B2B SaaS; AI/GenAI a plus). Strong track record sourcing pipeline; healthcare or health-tech experience preferred.
Comfortable learning technical concepts and translating GenAI into clear business value for healthcare buyers.
Proactive, organized, iterative, creative, adaptable, and enjoy testing messaging and improving processes.
Existing networks in health systems, payers, or digital health is a plus, not required.
About StackAI
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs) to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that connects different data sources with different AI models.
Healthcare organizations use Stack AI to build applications such as:
Patient-facing assistants: AI agents that answer questions and complete tasks using internal data and APIs, deployable in HIPAA-covered environments.
Document processing: apps to answer questions, summarize, and extract insights from clinical and administrative documents, no matter how long.
Answer questions on databases: connect LLMs to your systems and ask questions across them.
Content creation: generate tags, summaries, and transfer styles or formats between documents and data sources.