Implementation Manager
Leads end-to-end customer implementations for AI healthcare scheduling platform, managing deployments, configurations, stakeholder coordination, and post-launch account health. Requires 3+ years B2B SaaS implementation experience and semi-technical fluency.
About the job
Responsibilities
- Own implementations end-to-end: Run customer deployments from kickoff through go-live, lead discovery sessions, collect scheduling rules and workflows, build project plans, coordinate across engineering and customer stakeholders.
- Execute non-engineering implementation work: Collect customer inputs (scheduling rules, knowledge base, configurations), configure platform (assistant settings, scheduling, telephony).
- Serve as customer's primary point of contact: Lead calls, syncs, send recaps, manage communications, first line for post-launch issues.
- Run UAT and drive go-live: Coordinate testing, track issues, manage production cutover.
- Own accounts post-launch: Lead syncs, QBRs, triage issues, monitor health, surface expansion.
- Shape the product: Translate feedback into requirements, partner with engineering on tooling.
Requirements
- 3+ years running complex software implementations, technical onboarding, or customer-facing project management at B2B SaaS.
- Semi-technical fluency: Navigate APIs, configuration interfaces, technical docs.
- Project leadership: Manage multi-workstream projects, hold cross-functional teams accountable.
- Customer-facing presence: Lead meetings, build relationships with technical/non-technical stakeholders.
- Bias toward action: Hands-on execution.
Interesting Challenges
- Encoding operational DNA at scale.
- Building repeatable implementation processes.
- Bridging AI and clinic operations.
- Scaling without scaling headcount.
Skills
Saas Implementations, Project Management, APIs, Stakeholder Management, Customer Onboarding, Uat, Technical Documentation, Platform Configuration, Cross-Functional Coordination, AI Workflows
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