Manager of Applied AI Products

About this role

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. We are on a mission to acquire, build, and grow great companies worldwide, helping them modernize through shared AI expertise and operational discipline. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. Banyan is Great Place to Work Certified, a five-time Inc. 5000 honoree, and a top 10 company on the Deloitte Technology Fast 500. Founded in 2016 and headquartered in Atlanta, Banyan operates more than 100 portfolio companies across North America, the UK, EU, and APAC.

Role Overview

This is a player/coach role. The right candidate is someone who will personally design, build, and ship AI capabilities while also influencing strategy, engaging clients, and elevating the team around them. If you are looking for a role where you direct others to do the technical work, this is not it.

You will be a key contributor to the AI product strategy for MedicatOne (M1), working in close partnership with the MedicatOne Product Manager, the CTPO, and key clients to shape what gets built, why it matters, and how it gets delivered. Critically, you will also be in the work yourself in writing code, making architectural calls, and owning the implementation quality of AI features from prototype to production.

This role requires genuine fluency in clinical workflows, healthcare data standards, and the compliance constraints that govern systems handling protected health information in addition to the hands-on technical depth to turn that domain knowledge into AI-powered product capabilities that providers actually use.

About Medicat

Medicat is the leading EHR software provider for college health and counseling, serving hundreds of institutions across the United States. Our platform, MedicatOne (M1), supports practice management, documentation, workflow automation, and the student experience for health and counseling clinics nationwide.

We are investing in AI-driven capabilities that meaningfully change how healthcare providers interact with their data, clinical workflows, and operational systems, and we are looking for a leader who can help us do that with the credibility and context that comes from deep healthcare IT experience.

What You'll Do

Product Strategy & Roadmap Collaboration

• Partner closely with the MedicatOne Product Manager to shape the AI product roadmap, contributing deep technical and domain expertise to prioritization decisions

• Translate provider pain points, EHR workflow gaps, and healthcare data challenges into well-scoped AI product proposals

• Collaborate with the CTPO and product leadership to inform the AI vision for the platform

• Establish evaluation frameworks for AI feature 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 product 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 the architecture of AI systems end-to-end: from data ingestion and retrieval design through API contracts and deployment

• Ensure implementations are reliable, HIPAA-compliant, and built to scale and be accountable for that quality yourself

• Stay current on the AI landscape and bring relevant patterns and tools into the platform with your own hands

Team Collaboration & Coaching

• Work alongside engineers and product teammates to drive features from concept to launch as a contributor, not just a coordinator

• Share what you know: raise the technical bar for others working on AI-adjacent problems through code review, pairing, and direct feedback

• Align stakeholders on AI priorities, tradeoffs, and timelines with the technical credibility that comes from being in the work yourself

• Help establish best practices for responsible, compliant AI development that the whole team can follow

Internal AI Enablement & Governance

• Act as an internal resource for other departments looking to use AI effectively; help teams across the company identify where AI adds real value and how to apply it responsibly

• Provide hands-on guidance to non-engineering teams building AI-assisted workflows or tools, ensuring they follow sound practices from the start

• Serve as the final technical reviewer for any AI-built tools or automations created by non-technical employees before they are used in production and evaluate for reliability, security, PHI exposure, and compliance risk

• Establish and maintain a lightweight review process for employee-created AI tools so that quality and safety checks are consistent across the organization

• Develop and maintain recommendations for company-wide AI acceptable use policies, covering what tools employees may use, how data may be shared with AI systems, and what classes of use require review or approval.

• Help build AI literacy across Medicat through documentation, working sessions, or direct support

What Success Looks Like

• Strong, trusted partnership with the MedicatOne Product Manager and AI roadmap contributions that earn alignment from leadership and confidence from clients

• AI capabilities personally built and shipped into production, not handed off after scoping

• AI features in MedicatOne that providers actually use and that measurably improve clinical and operational workflows

• Client relationships that deepen because of p

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