Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Lead Arcadia’s technical recruiting function by developing hiring strategy, scalable recruiting systems, sourcing pipelines, recruiting metrics, and candidate experience. Partner with Engineering, Data, Product, and Analytics leaders to improve hiring quality and speed. Coach hiring teams, mentor recruiters, leverage AI and recruiting technology, strengthen employer branding, and deliver measurable improvements across technical talent acquisition.

Own Arcadia’s revenue operating system, including Salesforce, forecasting, pricing, SKUs, quote-to-cash, KPI frameworks, sales compensation, and AI-powered reporting. Lead the evaluation and roadmap of the revenue technology stack while partnering with Sales, Marketing, Customer Success, Finance, Product, and Tech. Build scalable processes, improve forecast accuracy, analyze pipeline and sales efficiency, and drive predictable growth in a high-growth SaaS environment.

Leads commercial growth initiatives from concept through traction, including market sizing, business cases, go-to-market strategy, competitive intelligence, and cross-functional execution. Drives executive committee operating rhythms, board preparation, strategic initiative tracking, decision-making, and accountability across Product, Clinical, Marketing, Finance, Sales, and executive stakeholders.

Own product-layer performance for agentic AI systems in healthcare. Design prompting, retrieval, context, memory, tool use, evaluation, escalation, and human-review workflows. Build production-grounded evaluations, diagnose failures, improve accuracy, reliability, latency, cost, and steerability, and approve model changes. Partner with Product and Engineering while maintaining model cards, intended-use guidance, limitations, and failure-mode documentation for safe, transparent deployment.

Own enterprise customer relationships from implementation through ongoing value realization. Lead data connector and platform configuration projects, coordinate cross-functional delivery, manage account health and risks, conduct QBRs and EBRs, support adoption and renewals, and maintain trusted client partnerships. The role also involves documentation, process improvement, stakeholder communication, and mentoring teammates.

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Lead business development and close new Payor accounts by prospecting, qualifying, and cultivating C-level relationships. Drive proposal and contract processes, collaborate with product, operations, and finance, maintain accurate pipeline in Salesforce, provide financial projections, and secure multi-year, multi-million-dollar contracts with commercial and regional payers.

Senior analytics leader who defines analytic strategy, leads a team of SQL analysts and BI developers, architects scalable frameworks for medical economics, risk, population health and value-based care, ensures methodological rigor in DBT/Spark and Quicksight dashboards, drives automation and AI integration, presents to executive stakeholders, and mentors senior analytic talent.

Lead new-account acquisition in the Provider market by identifying, engaging, and closing enterprise health system and provider group deals. Manage long sales cycles, build C-level relationships, drive proposals and contracting, coordinate with internal teams, maintain pipeline in Salesforce, and frequently travel to customers to achieve revenue targets and account expansion.

Lead end-to-end product development of enterprise-grade AI-powered healthcare solutions (generative AI, LLMs, RAG, automation). Drive roadmap, customer validation, cross-functional execution, measurable adoption, and business outcomes while mentoring product practices.