Top Insurance Jobs in Denver & Boulder, CO

Drive enterprise SaaS and services sales to health insurance plans within an assigned territory. Responsibilities include prospecting, nurturing, and closing high-value opportunities; delivering customized presentations and product demonstrations; exceeding revenue targets; tracking pipelines and forecasts in HubSpot; and communicating AI platform value, ROI, and payer-market insights to health plan executives.

Alaffia’s Talent Pool invites candidates interested in future opportunities at its NYC-based healthcare AI startup. Applicants can submit their information and a cover letter describing their motivation and preferred business areas or roles. The talent team will retain profiles and proactively contact candidates when suitable positions become available. The company develops AI-powered copilots and agents to reduce healthcare administrative burden, billing waste, and costs.

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.

The Principal People Partner advises executives and senior leaders on people strategy, organizational design, workforce planning, performance management, talent development, employee relations, compliance, engagement, retention, and change management. The role partners cross-functionally to build high-performing teams, manage complex employee relations matters, support leadership transitions, improve team member experiences, and leverage HR systems and people data to guide decisions.

Manage workers’ compensation premium audit operations, including internal teams, vendors, quality, compliance, productivity, and customer escalations. Develop audit strategies, improve processes, optimize workflows and technology, analyze performance trends, and partner with Product, Engineering, Analytics, Compliance, Legal, Claims, Underwriting, Billing, and Customer Service. Lead team development, resolve complex disputes, and communicate operational insights to senior leadership.

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.

Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.

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.

Supports the onboarding of new insurance agents by advancing contracts, tracking background checks and fingerprints, reviewing documentation, resolving data gaps, communicating status updates, and processing system-integration forms. Provides administrative support to the Managing Partner, including phone assistance, calendaring, and executive correspondence. Requires strong customer service, organization, communication, data-entry accuracy, Microsoft 365 proficiency, and discretion with sensitive information.

Designs, builds, and maintains scalable ETL/ELT pipelines and finance data models using Snowflake, AWS, dbt Core, Python, and SQL. Develops Medallion architecture data marts, integrates ERP systems, and partners with stakeholders on financial workflows. Implements data governance, RBAC, automated quality testing, observability, documentation, CI/CD, and secure deployments. Monitors Snowflake costs and optimizes queries while supporting Oracle EBS integrations and the migration to Workday.

Support clients seeking disability benefits or insurance compensation by conducting interviews, analyzing medical records, drafting persuasive SSA memos, coordinating with representatives, managing caseloads, and collaborating with attorneys on case strategy. The role also involves improving workflows and contributing to startup initiatives with Marketing and Product. It is fully remote with quarterly travel to Los Angeles and occasional offsites.

Leads a team of Energy Underwriters while personally managing a complex energy-risk portfolio. Evaluates new business, renewals, referrals, and policy changes across power, renewable energy, oil and gas, utilities, and infrastructure. Oversees underwriting governance, guidelines, delegated authority, documentation, profitability, pricing, portfolio quality, and risk selection. Coaches employees, supports performance management, develops broker and client relationships, and contributes to broader business initiatives and continuous improvement.

Provides production support for CRM, workflow, and AI-enabled business platforms. Responsibilities include issue triage, troubleshooting, root-cause analysis, user onboarding, access and configuration administration, release readiness, user acceptance testing, documentation, training, and coordination across business and technology teams. The role also identifies recurring issues and process improvements that enhance platform stability, adoption, and user experience.