Technical Implementation Program Manager

About Bunkerhill

Bunkerhill partners with leading health systems to design and deploy AI-enhanced clinical workflows that are used in real clinical operations. We work directly with clinicians, operations leaders, and IT teams to turn messy clinical reality into scalable, high-impact AI workflows.

About the Role

We’re hiring an S-tier Technical Implementation Program Manager to own end-to-end customer delivery of the Bunkerhill Carebricks AI platform across multiple health systems. Carebricks sits on top of the EHR (primarily Epic Systems) and also integrates with ancillary systems (PACS, web portals, etc.).
2026 reality: each customer will have ~10+ use cases, many are net-new and variable.

What You’ll Do

This person will independently own the customer lifecycle across multiple use cases:

• Discovery: clarify workflow + data sources + triggers + required writebacks; define architecture & scope.
• Ingestion enablement: guide customer teams to stand up cohort feeds / triggers (SQL extracts, HL7, Bulk FHIR, etc.).
• Data integrity: validate end-to-end flow and reconcile against Epic/ancillary systems.
• Runtime enablement: install/configure Epic on FHIR app (OAuth2 background user, security points, etc.); guide SMART on FHIR where relevant.
• Writebacks: implement best writeback channel per use case (FHIR create APIs, HL7 Z-segments, portal APIs, SMART workflows).
• Execution: build and enforce plan, manage risks/dependencies, drive internal engineering + customer IT to hit deadlines through go-live + hypercare.

Required skills

A) EHR + interoperability integration depth

• Proven delivery experience integrating with EHRs (ideally Epic Systems) and/or major health-system IT environments.
• Hands-on fluency across HL7 v2, FHIR R4, OAuth2 / app registration, and interface troubleshooting.

B) Data ingestion + validation

• Experience with cohort feeds / triggers via SQL extracts (e.g. Epic Clarity), HL7 feeds, and/or Bulk FHIR.
• Can run (or direct) data integrity validation: sampling, reconciliation, edge cases, monitoring.

C) Writeback architecture

• Track record writing results back into EHRs or clinical systems via:
  • FHIR create APIs (e.g., docs/observations/notes patterns)
  • HL7 customization (Z-segments)
  • External portal APIs / webhooks
  • SMART-based workflow patterns (nice-to-have but strong signal)

D) Implementation ownership

• Has owned implementations end-to-end: discovery → build → go-live → hypercare (post-live), with measurable outcomes.

Why Bunkerhill

• Real impact at leading health systems. Our Carebricks platform is live at UTMB Health, Cleveland Clinic, Mayo Clinic, and dozens of other hospitals across the U.S., powering workflows like incidental findings follow-up, prior authorization, referral routing, and more.
• Award-winning AI implementation. Bunkerhill was recently named “Best in AI Implementation” in Inc.’s 2025 Best in Business Awards for the way Carebricks lets clinical and operational teams build and deploy AI agents that actually run in day-to-day workflows. Business Wire
• Backed by top-tier investors. We’re backed by Sequoia Capital, Felicis, Optum Ventures, SciFi VC, SV Angel, and others, with a raised $30M Series A led by Sequoia and Felicis.
• Recognized as one of AI’s “killer apps.” Sequoia highlighted Bunkerhill as part of the rising cohort of “AI’s Killer Apps” in its AI Ascent keynote, alongside companies like LangChain and OpenEvidence. LinkedIn
• Regulatory and clinical credibility, not just demos. Our platform incorporates multiple FDA-cleared algorithms, including models for cardiovascular findings such as aortic valve and mitral annular calcification, now deployed as part of Carebricks in real clinical workflows.
• You’re joining at an inflection point: revenue has leapt from early pilot scale to multi-million-dollar ARR in the last year, as health systems standardize critical workflows on Bunkerhill
• A chance to help define the category. Bunkerhill’s mission is to close the gap between the potential of AI in healthcare and its reality in clinical practice. As one of the first Forward Deployed Product Leads, you’ll help define how health systems design, ship, and scale AI-enhanced workflows—not just at one hospital, but across a growing network of top institutions.

1. Recruiter screen with Judith (background and rapid fire technical assessment)
2. Hiring manager screen with David (Leadership and technical competency focus)
3. Case study and presentation with David
4. Final interview with Nish