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AcuityMD is a high-growth AI and data platform that accelerates access to medical technologies, helping MedTech companies understand product usage, customer variation, and opportunities for physicians to improve patient care. The company is backed by top-tier VCs including Benchmark, Redpoint, and ICONIQ Growth.
The Principal Medtech Architect is a senior individual contributor role on the Forward Deployed team, owning strategic AI engagements with the company's largest customers across the full lifecycle: pre-sales discovery, executive workshops, solution delivery, outcome validation, and handoff to account teams.
Key responsibilities include:
- Leading end-to-end strategic AI build partnerships, from discovery through validation and transition
- Conducting foundational conversations positioning AcuityMD as the customer's AI platform for medtech
- Designing and facilitating executive leadership workshops to surface high-value workflows and prioritized use-case portfolios
- Recommending appropriate engagement models (enrichment, callable tools, bespoke skills, insight-to-action workflows)
- Defining business cases, ROI assumptions, success metrics, and validation approaches with customer stakeholders
- Translating customer pain points and technical requirements into well-scoped AI solutions and delivery plans
- Partnering with Product and Engineering to scope and lead Forward Deployed sprints
- Validating delivered solutions achieve intended outcomes before scaling across the customer organization
- Leading platform-level roadmap conversations with customer AI leadership (CTOs, CIOs)
- Collaborating with Customer Success, Professional Services, Sales, and Value Engineering
- Shaping AcuityMD's external narrative on AI in medtech through thought leadership
- Mentoring early-career Medtech Architects and strengthening team playbooks
Required qualifications:
- Executive presence and peer-level credibility with C-suite stakeholders (CEOs, CTOs, CIOs, CCOs)
- Deep medtech domain credibility and understanding of commercial, clinical, and operational realities
- AI and architecture fluency; ability to discuss capabilities, patterns, risks, and tradeoffs
- Demonstrated success scoping, selling, and delivering complex multi-quarter, multi-workstream engagements
- Strong commercial and customer judgment to distinguish high-value use cases and recommend appropriate engagement scope
- Exceptional communication skills across technical and executive audiences
