Top Healthtech Jobs in Denver & Boulder, CO

Serve as the Tier 1 IT helpdesk’s first point of contact, triaging and resolving employee technology issues through Linear, Slack, email, and chat. Troubleshoot accounts, passwords, hardware, printers, mobile devices, email, and business applications. Administer Google Workspace accounts and device access, support onboarding and offboarding, provision hardware, track inventory, document resolutions, maintain knowledge base content, and escalate complex issues with complete documentation.

Manage end-to-end customer onboarding and implementations, including data feed and integration configuration. Build strategic stakeholder relationships, provide reporting and analytics, drive adoption and measurable outcomes, advocate customer needs internally, optimize processes, and collaborate cross-functionally to manage revenue and strategic initiatives for assigned accounts.

Lead and coach a team of Account Managers servicing top-tier pharmaceutical and agency clients to ensure satisfaction, renewals, and expansion. Oversee implementation, reporting, QBRs, insights-driven optimization, cross-team collaboration, and escalation management while contributing customer feedback to product and GTM strategy.

Provide best-in-class customer service to healthcare provider accounts via phone, email, and chat. Resolve issues, upsell platform features, maintain accurate interaction records, and drive provider engagement by demonstrating Zocdoc's value.

The job description provides limited role-specific details. The Platform Engineering Manager would presumably lead platform engineering efforts supporting Zocdoc’s digital healthcare marketplace, collaborating with teams to build reliable, scalable infrastructure and platform capabilities.

Owns the strategy, architecture, and implementation of production AI and machine learning systems for personalization, search ranking, relevance, and patient-provider matching. Builds recommendation engines, retrieval models, LLM applications, and scalable ML infrastructure while establishing AI safety, evaluation, and MLOps standards. The role requires hands-on model development, technical leadership, mentoring, and responsible deployment of AI in a regulated mental healthcare environment.

Lead the architecture and migration of Rula’s data platform to Snowflake and Medallion architectures. Govern warehouse performance and cloud costs, establish data contracts and intake guardrails, and enforce GitHub-based CI/CD testing for data quality and query performance. Scale AI-assisted engineering practices across teams while partnering with executives and domain engineers. The role also supports secure clinical data handling, schema evolution, semantic BI integrations, and production ELT pipeline development.

Lead end-to-end qualitative, quantitative, and mixed-methods UX research focused on patient acquisition, onboarding, booking, and initial care experiences. Frame ambiguous product questions, identify opportunities, synthesize behavioral and research data, and influence Product, Design, Data/Analytics, and Marketing decisions. Own a product area and research program while translating patient insights into measurable improvements in trust, confidence, conversion, and overall experience.

Build and own Babylist’s proactive PR and communications strategy across consumer, corporate, executive, product, partnerships, culture, and social impact narratives. Develop thought leadership, ghostwrite executive content, secure high-impact media and podcast placements, manage PR and influencer agencies, lead awards strategy, create communications playbooks and collateral, and measure impact. The role requires East Coast availability and short-notice travel to NYC.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Owns direct enterprise sales across a national territory of education employers, including universities, school districts, benefits pools, and associations. Manages prospecting, quotas, pipelines, and end-to-end RFP pursuits involving consultants, procurement, finalist presentations, and governance approvals. Builds strategic relationships with education benefits consultants, pool administrators, and benefits directors while communicating competitive value propositions. Requires deep health benefits and education-sector sales expertise, enterprise selling experience, data literacy, and sales process development skills.

Create and maintain technical knowledge articles, troubleshooting guides, runbooks, decision trees, and training materials to improve support case resolution. Partner with SMEs, analyze case trends, capture repeatable troubleshooting workflows, maintain content quality, and prioritize a backlog of enablement requests to enhance Support efficiency and escalation accuracy.

Analyze administrative and clinical healthcare data to build reporting solutions, identify optimization opportunities, and support clinical program effectiveness. Apply statistical analysis, data mining, and predictive modeling to improve decision-making, patient outcomes, utilization, and cost efficiency. Develop dashboards and KPIs, monitor healthcare trends, collaborate with clinical, data science, engineering, and client teams, and lead complex multidisciplinary projects.

Handle 60-80 inbound calls daily to assist patients with medication refills, referrals, scheduling, chart troubleshooting, and demographic updates. Document interactions, escalate clinical needs to staff, and complete training/orientation. Work full-time on assigned 8-hour shifts with potential overtime and transition to remote after orientation.

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.