Top Healthtech Jobs in Denver & Boulder, CO

Own the revenue operating model for a core B2B business unit, including GTM planning, targets, quotas, territories, capacity, funnel design, forecasting, and pipeline reviews. Partner with Sales, Marketing, Product, and Finance to improve growth economics, refine ICP strategy, and translate performance data into executive decisions. Lead cross-functional planning and manage a team while supporting the transition from growth to scalable execution.

Build scalable, secure data pipelines, models, platforms, and governance systems that enable AI applications to access trusted enterprise data. Partner with analytics, marketing, and product teams to translate requirements into technical solutions, independently deliver projects through production, and support sensitive-data security and access controls. Preferred experience includes LLM architectures, cloud data platforms, infrastructure as code, regulated environments, and technical leadership.

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.

Manage and grow Imprivata’s North American channel partner network, including recruiting, business planning, enablement, sales training, quarterly business reviews, and revenue performance. Collaborate with regional sales managers to achieve targets, expand opportunities in healthcare and commercial markets, and position Imprivata’s mobility and identity and access management solutions. Travel to customers and partners is expected for 10% to 25% of the role.

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.

Leads Learning, Content, and Quality teams within Shared Services. Owns the strategic vision, operating models, onboarding curriculum, train-the-trainer programs, knowledge bases, quality processes, performance metrics, and AI enablement strategy. The role develops high-performing teams, reduces frontline ramp time and turnover, creates closed-loop feedback systems, and aligns training outcomes with operational KPIs while scaling support operations.

Lead full enterprise sales cycle for Sage's SaaS products, build executive relationships, prospect and expand accounts, provide accurate forecasting, partner cross-functionally to refine go-to-market strategy, and help scale the commercial organization.