Top Insurance Jobs in Denver & Boulder, CO

Manages SBA loan closings from approval through funding, booking, and post-closing resolution. Reviews loan files, SBA forms, due diligence reports, closing conditions, legal documents, and compliance requirements. Coordinates with borrowers, attorneys, internal teams, underwriters, and third parties; maintains accurate loan-system data; prepares funding packages; processes disbursements; books loans; and resolves quality-control and post-closing exceptions.

Owns accounting support for the deal desk and quote-to-cash process at a SaaS company. Responsibilities include reviewing contracts for ASC 606 implications, advising Sales and Legal on deal structures, establishing approval workflows, translating contract terms into billing configurations, managing amendments and renewals, and partnering with Sales Operations, Finance, and Accounting. The role also supports commercial governance, SaaS metrics analysis, audit, and cross-functional training.

Own end-to-end product design for agent, wholesaler, and back-office insurance workflows. Conduct research, define problems, create user flows and Figma designs, build coded prototypes, validate solutions, and partner with engineering through implementation. Design integration experiences involving permissions, data imports, APIs, quoting, and status workflows. Contribute to design critiques and systems while balancing usability, trust, accuracy, compliance, technical constraints, and stakeholder needs in a regulated product environment.

Leads sales coaching and field excellence for an insurance distribution team. Builds competency models, coaching cadences, learning pathways, onboarding programs, and performance feedback systems. Provides direct coaching through call reviews, ride-alongs, and group sessions, integrates agent and competitive insights, manages a growing coaching team, and partners with Marketing, Product, Enablement, and Distribution leadership on launches and agency onboarding.

Owns executive relationships and revenue growth for 2–4 high-value enterprise accounts. Develops multi-year account plans, expands product adoption, identifies cross-sell and upsell opportunities, leads renewals and contract negotiations, and coordinates Product, Marketing, Client Success, and Solutions teams. The role also conducts strategic business reviews, represents the company with senior stakeholders, and drives profitable long-term partnerships across Roadside Assistance and Accident Management offerings.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Leads and scales the account management function for enterprise health plan customers. Manages Account Managers, owns team revenue and retention targets, develops account processes and playbooks, and oversees strategic accounts. Builds executive relationships, leads QBRs, manages escalations, identifies expansion opportunities, and partners with Sales, Product, Engineering, and Leadership to improve customer outcomes, retention, and revenue growth.

Build and maintain production data pipelines, Airflow DAGs, Snowflake infrastructure, and Data Vault 2.0 models. Ensure data quality, observability, security, governance, reliability, and cost efficiency through automated testing and CI/CD. Lead technical projects end-to-end, collaborate with stakeholders, and support SOX-relevant reporting while developing expertise in commercial insurance data and processes.

Leads an AI engineering team of 4–8 engineers while remaining hands-on with architecture, coding, code reviews, and technical decisions. Owns delivery of production AI systems including LLM applications, agentic workflows, document extraction, and machine learning pipelines. Establishes engineering standards, observability, evaluation frameworks, and responsible deployment practices while partnering with product, platform, data, recruiting, and customers.

Supports key insurance accounts by addressing production, recruiting, onboarding, appointment, activation, and portal issues. Tracks and communicates performance metrics, coaches agents on sales fundamentals, mentors recruiting leaders, and delivers webinars and in-person seminars. Partners with licensing, operations, technology, and compliance teams to resolve field issues, document solutions, and improve agent readiness and production. This is a remote role requiring travel for training, seminars, and meetings.