Top Healthtech Jobs in Denver & Boulder, CO

Partner with Health Plans and Partnerships to shape growth strategy using unit economics, scenario-based forecasting, and granular financial models. Evaluate trade-offs, drive data-driven decisions, translate financial concepts for non-finance partners, and partner cross-functionally to test assumptions and ensure operational accountability in a fast-paced healthcare marketplace.

Owns Imprivata’s mobile product portfolio and business success, managing strategy, lifecycle, roadmap, feature prioritization, releases, adoption, and growth. Partners with Engineering, Marketing, Sales, Product Operations, and Customer Success to deliver secure, scalable enterprise SaaS products. The role requires mobile device and security knowledge, customer advocacy, data-driven decision-making, stakeholder communication, and use of AI tools and coding assistants to improve product workflows.

Leads go-to-market activation for GoodRx HCP and DTC media offerings. Translates strategy into launch plans, positioning, packaging, sales enablement, training, and field-ready materials for pharmaceutical brands and agencies. Coordinates cross-functional execution across Sales, Product, Analytics, Marketing, Legal, Client Success, and Revenue Operations. Builds commercial narratives, supports pitches and RFPs, gathers market feedback, and develops repeatable commercialization and enablement frameworks.

Own Empathy’s organic social strategy across LinkedIn, Instagram, and additional platforms. Build consumer and B2B audiences, develop platform-native content, support campaigns and launches, drive thought leadership, steward sensitive brand messaging, and use analytics to optimize performance. The role also directs creative collaboration, tests content approaches, leverages AI tools, tracks engagement and audience growth, and reports results.

Recruit clinicians by reviewing applications, conducting interviews, assessing clinical and operational fit, maintaining accurate applicant-tracking records, and coordinating candidate handoffs through offer and onboarding stages. The role focuses on delivering an excellent candidate experience while identifying therapists and psychologists passionate about serving older adults. This is a remote, part-time position requiring strong interpersonal judgment, organization, flexibility, and the ability to manage frequent interviews in a fast-paced environment.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.

Own the full lifecycle of provider and client user engagement, including onboarding, training coordination, change enablement, proactive outreach, and relationship management. Serve as the primary provider contact, monitor portfolio performance, coordinate implementations, support prior authorization workflows, and recommend improvements that increase adoption, auto-approval rates, clinical quality, and compliance. Collaborate with internal teams, health plans, compliance, and legal while managing high-volume provider onboarding initiatives.

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.