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