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

Deliver and improve live and digital training for client RN and MD reviewer teams using Cohere’s healthcare platform. Coordinate onboarding, develop LMS content and tailored training materials, document client workflows and customizations, host webinars and demos, and incorporate feedback to improve adoption. The role collaborates cross-functionally to maintain accurate training aligned with queue management processes and client operating models.

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 healthcare analytics projects using clinical, claims, pharmacy, and eligibility data to evaluate cost, utilization, quality, and program performance. Develops statistical analyses, predictive models, dashboards, and reporting solutions; identifies optimization opportunities; partners with clinical, product, engineering, and business teams; presents recommendations to stakeholders; and mentors junior analysts.

Leads the L1 client support function, managing support associates, ticket triage, SLA tracking, escalations, access provisioning, client communications, and support metrics. Drives process improvements through automation, standardized workflows, alerting, and knowledge-base development. Partners with Client Success, Product, Engineering, and QA to resolve issues and improve the client support experience.

Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.

Consult PaaS clients on prior authorization decision automation programs, translating requirements into technical blueprints and partnering with Product, Design, Development, and Engineering. Build strategic improvement roadmaps, analyze healthcare authorization data, maintain dashboards and reports, monitor client KPIs, and ensure automation success throughout the customer lifecycle. The role also identifies scalable workflow improvements and guides customers in maximizing platform value.

Configures and tests clinical platform requirements for healthcare clients, defines test scenarios and success criteria, troubleshoots technical issues, and supports implementations. Serves as a configuration subject-matter expert for client-facing teams, collaborates with Product, Development, Design, and Engineering, and helps develop scalable configuration management tools.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

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.