Top Insurance Jobs in Denver & Boulder, CO

As a Software Development Engineer in Test, you'll create and conduct automated tests, resolve technical issues, and collaborate with development teams to ensure software quality.

Lead a new data engineering team to define standards, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack. Balance technical leadership with people management, coach engineers, promote AI-assisted workflows, and collaborate with Product and Architecture to build a standardized data ecosystem.

The Recruiting Operations Lead will design and oversee the recruitment process, lead ATS migration, manage recruiting metrics, and partner cross-functionally to enhance hiring efficiency and quality.

The VP, Product will define and execute Spark's product strategy, lead a product team, and enhance Medicare distribution through innovative solutions.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.

Define and deliver architectures and prototypes for new, large-scale, highly available software systems. Research and qualify emerging technologies, design extensible systems, produce technical documentation, mentor engineers, and support transitions to operational teams while applying cloud-native, event-driven, and generative-AI approaches.

Design, develop, and deploy machine learning models and pipelines to optimize operations. Lead full ML project lifecycle, ensure model evaluation/monitoring, collaborate cross-functionally, mentor junior engineers, and drive continuous improvement in ML applications and processes.

The Enterprise Sales Director - Health will manage the sales cycle for AI-powered solutions in health insurance, cultivate relationships, and achieve sales targets.

Design, develop, and deploy production-grade ML and generative AI solutions (including LLMs, RAG, semantic search, vector DBs). Perform data discovery, feature engineering, model evaluation, MLOps, monitoring, and governance. Partner with product and engineering, mentor junior staff, and drive AI product innovation and enterprise AI strategy.

Generate, qualify, and develop sales pipeline for insurance software by prospecting, executing campaigns with Marketing, using CRM (Salesforce) to track opportunities, meeting monthly/quarterly targets, routing leads to sales reps, and gathering agency needs to recommend solutions and prepare for promotion into sales roles.

Generate and qualify sales leads for insurance software by prospecting, executing campaigns with Marketing, using CRM (Salesforce), meeting pipeline targets, and routing qualified opportunities to sales reps. Collaborate with Sales Operations and prepare for promotion into sales roles.

Guide aspiring insurance agents through state licensing by managing a large pipeline, communicating requirements, maintaining MS Access records, making inbound/outbound calls, and updating supervisors and agency partners on progress and changes.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Own state-level product strategy and market performance for assigned regions. Manage state filings and DOI relationships, collaborate with Technology and Operations on launches, analyze KPIs and profitability drivers, present strategic recommendations, support external data and competitor intelligence, and relay field feedback to product teams to inform product changes and new development.

Own and improve the Product Development Lifecycle and product roadmap by architecting Jira/Confluence and AI-integrated tooling, building governance, dashboards, and metrics, enabling PM workflows, onboarding, release operations, and cross-functional stakeholder communications to increase velocity and product quality.