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

Contacts insurance policyholders by phone, SMS, and email to schedule appraisal appointments and explain requirements. Provides concierge support for the ASSIST self-survey product, including mobile app installation and technical questions. Updates work order statuses, prioritizes assignments, meets productivity and deadline targets, resolves issues, and communicates unusual situations to management.

Provides remote customer support for insurance appraisal scheduling and self-survey products. Contacts policyholders by phone, SMS, and email; explains appraisal requirements; assists homeowners with installing and using a photo-capture app; updates work-order statuses; prioritizes assignments; meets productivity and deadline goals; and escalates unusual situations to management.

Contacts insurance policyholders by phone, SMS, and email to schedule appraisals, explain requirements, and address concerns. Assists homeowners with installing and using the ASSIST photo-capture app, resolves technical questions, updates work-order statuses, prioritizes assignments, meets deadlines and productivity goals, and escalates unusual situations to management.

Lead and own end-to-end delivery of enterprise Data & AI programs, define data strategy and architecture (lakehouse/warehouse), drive modernization, governance, data quality, metadata/lineage, and AI adoption. Manage client relationships, account growth, program budgets, delivery teams, and stakeholder communications to ensure on-time, on-budget outcomes.

Own end-to-end architecture, hands-on development, deployment, and production hardening of agentic AI and generative AI solutions for U.S. healthcare payers. Design multi-cloud infrastructure, AI agents, RAG pipelines, integrations, governance, security, and MLOps/LLMOps practices. Embed with clients, translate payer workflows into deployed systems, troubleshoot live environments, and lead distributed engineering support while maintaining direct technical ownership.

Design, build, and operate production-grade, event-driven data pipelines (Kafka/Flink) on GCP to deliver model-ready features. Optimize BigQuery SQL and Parquet performance, develop Python data workloads (Polars/Pandas), deploy ML pipeline components on Kubeflow/Vertex AI with Docker, design event store architectures, and collaborate with ML and platform teams while documenting architecture and standards.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

Lead go‑to‑market and close enterprise deals for AI/GenAI healthcare solutions across payers, providers, PBMs, and life sciences. Own revenue targets, shape solutions with architects and product teams, run POCs and demos, craft proposals and pricing, and present ROI/value to CXO stakeholders.

Leads presales solution architecture for complex Life and Annuity insurance and TPA RFI/RFP pursuits. Designs operating models, platform implementations, conversions, integrations, data migration, compliance frameworks, and managed-service solutions. Owns estimation governance, pricing strategy, executive presentations, client discovery, oral presentations, and delivery handoff. Requires deep L&A and TPA operational expertise, major policy administration platform experience, strong estimation and executive communication skills, and knowledge of insurance regulations and privacy requirements.

Leads Neo4j graph database migrations to AWS, including architecture, secure deployment, data integration, performance tuning, query optimization, testing, demonstrations, developer onboarding, UAT, and go-live support. The role requires hands-on expertise with Neo4j, Cypher, AWS infrastructure, ETL tools, graph modeling, benchmarking, and stakeholder communication.