Technical Project Manager leading enterprise healthcare AI implementations at Heidi. Coordinating EHR integrations, clinical workflows, stakeholders, and go-live delivery.
Responsibilities
Own the end-to-end technical project plan for enterprise implementations, defining milestones, managing timelines, tracking dependencies, and driving ownership across internal and external teams
Lead creation of detailed technical project plans with Engineering and the Solutions Engineer
Translate customer requirements and solution briefs into structured, executable delivery plans
Lead implementation planning sessions with customer IT, clinical informatics, and operational stakeholders
Align on integration approach, configuration requirements, and go-live readiness
Serve as the primary technical point of contact for customers post-signature
Manage expectations, communicate progress, and ensure customers feel supported throughout implementation
Act as the voice of the customer internally, surfacing bugs and product gaps and escalating issues to Engineering and Product
Partner with Customer Success for clear handoffs, shared context, and a unified customer-facing presence
Proactively identify timeline or scope risks
Manage change requests through a structured process
Escalate issues before they become customer-impacting problems
Requirements
3–5 years of experience in a Technical Project Manager, Implementation Manager, or customer-facing delivery role in SaaS, healthcare IT, or enterprise software
Proven ability to lead complex, multi-stakeholder enterprise implementations from kickoff through go-live
Technically fluent and comfortable discussing HL7 and FHIR integrations, APIs, SSO, and data workflows
Experience working directly with EMRs, integrations platforms, or API vendors
Exceptional organizational skills: Able to manage multiple enterprise implementations simultaneously without dropping the ball
Strong communicator with both technical and non-technical stakeholders
A natural escalation manager: You surface problems early
Comfortable operating autonomously in a fast-paced, early-stage environment where process is still being built
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