• Design and deliver reliable, high-quality product experiences that directly impact growth and patient outcomes. • Own projects end-to-end, partnering closely with Product, Design, Analytics, and other engineers to run experiments, ship improvements, and iterate based on real data. • Build and evolve systems behind patient acquisition surfaces, registration flows, eligibility verification, and the end-to-end onboarding experience that converts someone who needs care into someone who’s getting it. • Be a technical leader on the team: mentoring others, surfacing constraints and tradeoffs early, and modeling strong ownership, urgency, and follow-through.

• Design and deliver reliable, high-quality product experiences that directly impact growth and patient outcomes. • Own features end-to-end, partnering closely with Product, Design, Analytics, and other engineers to run experiments, ship improvements, and iterate based on real data. • Build systems for scale by optimizing for performance, correctness, and resilience as the business grows

• Own the overall solution architecture for client implementations. • Serve as a trusted advisor to executive client stakeholders. • Lead solution design and drive platform adoption. • Provide oversight across the client implementation portfolio. • Lead discovery calls, post-conference reviews, and client communications. • Mentor and develop Solution Consultants. • Contribute to thought leadership and process improvement.

• Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions. • Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners). • Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities. • Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability. • Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities. • Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently. • Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. • Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption. • Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).