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.
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 MedicatMedicat 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 DoProduct 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
- 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
- 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
- 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
- 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
- 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 proactive, informed engagement on AI strategy
- A higher technical bar across the team, raised by your direct involvement and example
- Other departments actively using AI more effectively because of your enablement and guidance
- A consistent, trustworthy review process for employee-created AI tools to prevent AI-built automation reaching production without appropriate vetting
- Medicat recognized by clients and peers as a credible, thoughtful leader in healthcare AI
- Must currently reside in the United States
- Must be authorized to work in the US without visa sponsorship; Medicat does not offer visa sponsorship now or in the future
Candidates without a substantive healthcare IT background will not be considered. We are looking for someone who has worked inside the healthcare technology ecosystem, not someone who is looking to enter it.
- Meaningful experience in healthcare SaaS, health systems, or digital health, ideally including time working with or inside an EHR environment
- Working knowledge of healthcare data standards: HL7 v2, FHIR (R4 preferred), CCD/CCDA, and common interoperability patterns
- Familiarity with clinical workflow design: how providers document, order, and communicate within an EHR context
- Direct experience navigating HIPAA compliance, PHI handling, de-identification, and the privacy constraints that shape system design in regulated healthcare environments
- Exposure to college health, student health, or behavioral health contexts is a strong plus
- 6+ years in product engineering, technical product management, or a hands-on hybrid role in B2B SaaS with at least 3 years personally building AI or ML-powered features in production
- A portfolio of AI work you built yourself; we will ask about the systems you designed and the code you wrote, not just the teams you managed
- Demonstrated success contributing to a product roadmap end-to-end: from strategy through personal delivery and client adoption
- Direct client-facing experience and comfortable presenting to health system or clinic leadership, running discovery sessions, and handling objections
You must be an active practitioner, not just technically literate. We expect you to write code and build systems as a regular part of this role. Specifically:
- Hands-on experience with LLM API integration (OpenAI, Anthropic, or similar) in production healthcare or enterprise environments
- Working knowledge of RAG architectures: retrieval pipeline design, chunking strategies, grounding, and evaluation
- Familiarity with vector databases, embedding models, and unstructured data indexing
- Comfortable with data modeling, SQL, and analytics workflows over large structured healthcare datasets
- API design and backend services experience sufficient to review and guide engineering decisions
- Able to operate across the strategic and tactical; equally at home in a roadmap session with the CTPO and a technical design review with engineers
- Strong written and verbal communication; can synthesize complex AI and clinical concepts for provider, operational, and executive audiences
- Direct access to leadership and real influence over company direction
- A platform used by hundreds of health and counseling centers, with meaningful clinical impact at scale
- A company that is serious about AI investment and already shipping AI products, not just exploring them
- High ownership, low bureaucracy, and a team that values both craft and accountability
Job Location – Remote (USA)
The expected base salary for this position is: 120000-145000 USD excluding annual bonus (when applicable). Salary is based on a number of factors including market conditions, location and may vary depending on job-related skills and experience.
Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.
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Skills Required
- Must currently reside in the United States
- Authorized to work in the US without visa sponsorship; employer does not offer sponsorship
- Substantive healthcare IT experience (healthcare SaaS, health systems, or digital health; EHR experience preferred)
- Working knowledge of healthcare data standards: HL7 v2, FHIR (R4 preferred), CCD/CCDA and interoperability patterns
- Familiarity with clinical workflow design in EHR contexts
- Direct experience with HIPAA, PHI handling, and de-identification practices
- 6+ years in product engineering, technical product management, or hands-on hybrid B2B SaaS role
- At least 3 years personally building AI/ML-powered features in production and a portfolio of AI work you built yourself
- Hands-on experience integrating LLM APIs in production (OpenAI, Anthropic, or similar)
- Working knowledge of RAG architectures, retrieval pipeline design, chunking, grounding, and evaluation
- Familiarity with vector databases, embedding models, and unstructured data indexing
- Comfortable with data modeling, SQL, and analytics workflows over large structured healthcare datasets
- API design and backend services experience sufficient to review and guide engineering decisions
- Direct client-facing experience; comfortable presenting to clinic or health system leadership and running discovery sessions
- Strong written and verbal communication; able to translate technical and clinical concepts for diverse audiences
- Exposure to college health, student health, or behavioral health contexts
Banyan Software Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Banyan Software and has not been reviewed or approved by Banyan Software.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision, with indications of an established U.S. carrier relationship. This points to mainstream plan depth and reliable access to core care.
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Parental & Family Support — Paid parental leave is explicitly provided for new parents. This offers dedicated time and support during family transitions.
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Wellbeing & Lifestyle Benefits — Programs include a Learning & Development fund, two annual volunteer days, and an employee relief program for unexpected hardships. These elements extend support beyond base pay into growth, community, and resilience.
Banyan Software Insights
What We Do
Banyan Software provides the best permanent home for successful enterprise software businesses, their employees, and customers to preserve the legacy of founders, while helping grow the business into the future. We are on a mission to acquire, build and grow great software businesses that have dominant positions in niche markets all over the world. Today Banyan has over 750 employees throughout the US, Canada, UK, Europe, Australia and New Zealand. Founded in 2016 with permanent capital to preserve the legacy of founders, Banyan focuses on a buy, hold and grow for life strategy. For more information on Banyan Software, Inc. visit: http://www.banyansoftware.com What We Look For: - Great enterprise software businesses that have dominant positions in niche markets - We work with owners who are thinking about an exit today or further down the road - We are flexible and can be creative when we find a business that is a good fit - The businesses in the Banyan family all share a similar profile: - Annual revenues in excess of $2M-$30M - A high percentage of recurring revenue - Positive operating margins and cash flow - High customer retention and satisfaction - Happy and committed employees
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