Top Insurance Jobs in Denver & Boulder, CO

Manage, investigate, and resolve complex, high-severity personal property claims. Inspect and value damaged or lost contents, determine coverage, explain settlements, coordinate vendors, negotiate scopes and estimates, monitor contract compliance, and provide exceptional policyholder service. The role also supports field inspections, assists other claims teams, serves as a technical resource, and maintains current knowledge of personal-property standards and homeowner policy coverages.

Drives strategy, design, implementation, and ongoing improvement of HRIS solutions supporting claims data and employee processes. Partners with business, technology, operations, HR, and customer stakeholders; analyzes and reconciles data; troubleshoots system issues; prepares reports; supports customer implementations; manages communications; trains new analysts; and uses AI to identify business trends.

Gather and document business requirements, collaborate with insurance carrier stakeholders, define scope decisions, and translate requirements into technical specifications for engineering implementation. Organize complex product configuration datasets and support data-driven solutions during a six-month implementation engagement.

Processes and monitors insurance agent appointments, terminations, licensing updates, and demographic changes. Maintains accurate agent records across internal systems and government portals, verifies licensing compliance, supports hierarchy and commission-related setup, protects sensitive information, and communicates with agents, regulators, vendors, and internal teams by phone and email.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Sell commercial insurance to small business customers through inbound and outbound calls. Responsibilities include qualifying prospects, setting appointments, maintaining lead systems, understanding customer needs, partnering with underwriting, presenting policies, closing deals, and building customer relationships. The role is remote within the United States and requires strong communication, coordination, adaptability, and problem-solving skills.

Maintain and optimize SaaS production and demo environments, respond to and resolve incidents, manage Jira-based incident workflows, use Dynatrace and observability tools for troubleshooting, automate operational tasks, enforce security best practices, document runbooks in Confluence, participate in on-call rotation, and collaborate cross-team to improve reliability and performance.

The Principal Site Reliability Engineer sets enterprise-wide strategy for reliability, scalability, performance, observability, and service ownership. Responsibilities include establishing SLOs, SLIs, error budgets, architectural standards, incident command practices, and blameless postmortems across AWS, hybrid data centers, and customer-hosted environments. The role leads cross-functional reliability initiatives, influences system architecture, supports proactive production operations, and participates in executive on-call rotations.

Owns the executive relationship and commercial growth strategy for a critical strategic account. Responsibilities include revenue retention and expansion, cross-selling, complex contract renewals, multi-year account planning, executive business reviews, and integrated solution design across roadside assistance and accident management services. The role requires senior-level engagement with C-suite stakeholders, cross-functional leadership, high-stakes negotiation, and frequent travel for client engagement.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.