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Deployment Strategist

Job Description - Deployment Strategist


We're looking for a Deployment Strategist to lead enterprise customer engagements from pre-sales through successful deployment. This is a highly cross-functional role where you'll partner with customers, Sales, Product, and Engineering to design, deploy, and scale AI-powered solutions that solve complex operational challenges.


You'll own the customer journey—from technical discovery and solution design to implementation and long-term success—while translating unique customer requirements into scalable product capabilities. If you enjoy combining technical problem-solving with customer strategy and want to help shape both product and customer experience, this role offers significant ownership and impact.


What You'll Do



  • Lead enterprise customer engagements from discovery through successful deployment.

  • Partner with Sales during the pre-sales process to understand customer pain points, scope technical solutions, and build confidence during evaluations.

  • Design and implement enterprise-grade AI solutions that deliver measurable business value.

  • Work directly with customers to understand workflows, define integration requirements, and ensure successful adoption.

  • Collaborate closely with Engineering and Product to translate customer needs into scalable product features.

  • Drive implementation strategy, solution architecture, and deployment planning.

  • Help shape the product roadmap by identifying common customer needs and product opportunities.



What We're Looking For



  • 2–3+ years of experience in Consulting, Product, Solutions Engineering, Forward Deployed Engineering, Technical Program Management, or a similar customer-facing technical role.

  • Experience leading complex customer implementations from discovery through delivery.

  • Strong communication skills with the ability to build trust across technical and non-technical stakeholders.

  • Technical fluency with APIs, integrations, data workflows, and systems thinking.

  • Strong problem-solving skills with the ability to navigate ambiguity and turn customer challenges into scalable solutions.

  • Ownership mindset with exceptional attention to detail and execution.



Nice to Have



  • Experience with healthcare technology, provider systems, or clinical operations.

  • Familiarity with healthcare interoperability standards such as FHIR or HL7.

  • Experience working at an early-stage B2B SaaS startup.

  • Experience working with AI, machine learning, or data-driven products.



Why Join?



  • $170K–$230K base salary

  • Equity

  • Annual performance bonus up to 30%

  • Comprehensive medical, dental, vision, and life insurance

  • Opportunity to help shape an AI product from the front lines with customers

  • High ownership and direct influence on product direction

  • Collaborative, in-person startup culture with significant growth opportunities







 


 


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