Jobs at ProviderTrust

Lead a five-person product engineering team while owning technical direction, delivery, architecture, and people development. Remain hands-on by designing, writing, and reviewing production code across full-stack, cloud-native systems on AWS. Partner with product on roadmap decisions, manage capacity, delegate ownership, improve engineering processes, resolve escalations through root-cause analysis, and develop engineers through feedback, coaching, and increased scope. The role follows a hybrid schedule with two office days per week.

Leads the end-to-end client experience across onboarding, adoption, support, retention, renewal, and expansion. Oversees Client Care and Client Services, guides clients through a major platform migration, improves client health and service quality, and builds AI-enabled operating models. Partners cross-functionally to influence product priorities, strengthen revenue retention, establish client advisory programs, and develop organizational talent while serving as an executive-facing leader for major healthcare clients.

Build and deploy AI-powered workflows, agents, copilots, and automations across revenue, marketing, and customer success. Integrate CRM, BI, communication, and data systems; enable natural-language analytics; establish guardrails, monitoring, documentation, and feedback loops; and measure adoption, productivity, revenue impact, and ROI. The role requires hands-on LLM, API, coding, automation, and GTM systems experience, plus cross-functional project leadership and end-to-end ownership.

Design and own the company’s data warehouse and data lake foundation, including ingestion, modeling, governance, security, quality, and observability. Lead production LLM capabilities for internal and customer-facing products using RAG, embeddings, vector search, evaluation, monitoring, and guardrails. Select cloud and AI platforms, document architecture decisions, integrate enterprise systems, manage infrastructure costs, and advise stakeholders while mentoring and helping build the data and AI team.