Manager of Applied AI Products
Banyansoftware · United States
About this role
## Manager of Applied AI Products ### Company Overview Banyan Software is a permanent home for software businesses serving specialized industries. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates 120+ portfolio companies across North and South America, Europe, and APAC. The Banyan Software Foundation, endowed with $100M in Banyan stock, leverages technology to build a greener and more equitable world. ### Role Overview This is a **player/coach** role. The right candidate will **personally design, build, and ship AI capabilities** while also influencing strategy, engaging clients, and elevating the team around them. You will be a key contributor to the **AI product strategy for MedicatOne (M1)**, working closely with the MedicatOne Product Manager, the CTPO, and key clients to shape **what gets built, why it matters, and how it gets delivered**—and you will also be hands-on: writing code, making architectural calls, and owning implementation quality from prototype to production. This role requires genuine fluency in **clinical workflows**, **healthcare data standards**, and **compliance constraints** for systems handling **protected health information (PHI)**. ### About Medicat Medicat is the leading EHR software provider for college health and counseling, serving hundreds of institutions across the United States. **MedicatOne (M1)** supports practice management, documentation, workflow automation, and the student experience for health and counseling clinics nationwide. ### What You’ll Do #### Product Strategy & Roadmap Collaboration - Partner with the MedicatOne Product Manager to shape the AI product roadmap with deep technical and domain expertise - Translate provider pain points, EHR workflow gaps, and healthcare data challenges into well-scoped AI proposals - Collaborate with the CTPO and product leadership to inform the AI vision for the platform - Establish evaluation frameworks for AI performance, clinical utility, and adoption #### Client Engagement & Feedback Loops - Serve as a senior point of contact for strategic client conversations about AI capabilities and roadmap - Lead structured discovery with health center directors, clinicians, and administrators to surface unmet needs and validate direction - Partner with Customer Success and Sales to translate client feedback into product requirements - Represent Medicat’s AI strategy in prospect conversations, RFP responses, and industry forums when needed #### Hands-On AI Development - Personally design and build AI features - Write production-quality code for LLM integrations, RAG pipelines, vector search, and data workflows - Own AI system architecture end-to-end (data ingestion/retrieval design → API contracts → deployment) - Ensure implementations are reliable, HIPAA-compliant, scalable—and accountable for that quality yourself - Stay current on the AI landscape and bring relevant patterns/tools into the platform #### Team Collaboration & Coaching - Drive features from concept to launch as a contributor (not just a coordinator) - Raise the technical bar through code review, pairing, and direct feedback - Align stakeholders on AI priorities, tradeoffs, and timelines with credibility from being in the work - Help establish best practices for res
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