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

Develops retention, churn, and customer lifetime value models using statistical analysis and machine learning. Responsibilities include extracting and preparing structured and unstructured data, performing ad hoc analyses, creating dashboards and reports, automating analytical procedures, monitoring implemented models, and presenting findings to cross-functional business, IT, and management teams.

Leads Mercury’s cross-line AI/ML research capability across insurance products. Responsibilities include setting strategy, building a research tooling team, modernizing workflows, developing model monitoring and AI infrastructure, establishing responsible AI guardrails, partnering across technology and data science teams, driving adoption, and coaching talent. The role requires strong quantitative, insurance analytics, Python, machine learning, generative AI, and LLM evaluation expertise, along with substantial people and cross-functional leadership experience.

Designs, develops, tests, reviews, and maintains complex distributed software systems. Leads sprint teams, translates product requirements into scalable and secure designs, drives code and design reviews, collaborates with stakeholders, removes delivery impediments, and mentors engineers. The role requires strong software development, architecture, API, database, messaging, containerization, DevSecOps, and technical leadership experience, with preferred expertise in Java, Spring Boot, MongoDB, cloud platforms, and AI-assisted development tools.

Leads the customer portal and mobile app product roadmap for insurance policyholders. Owns product vision, backlog prioritization, requirements, metrics, launches, stakeholder communication, vendor relationships, and cross-functional delivery with engineering, UX, operations, and business teams. Uses customer research, usability studies, data, and market analysis to guide strategy while mentoring junior product managers and managing complex technical product initiatives.

Leads quality engineering teams while remaining hands-on with test automation, planning, execution, and strategy. Responsibilities include building and mentoring technical teams, developing automation frameworks and quality practices, coordinating with development and product teams, tracking testing metrics, mitigating risks, ensuring compliance, and driving continuous improvement across multiple software projects.

Provides technical leadership across multiple agile teams, designing, developing, testing, and maintaining complex distributed software systems. Leads architecture and code reviews, translates product requirements into scalable solutions, removes delivery impediments, collaborates with product managers and stakeholders, and mentors engineers. The role requires backend development, cloud technologies, microservices, APIs, messaging, containerization, DevSecOps, observability, and technical strategy experience.

Provides technical leadership across multiple agile teams, designing and developing complex distributed software systems. Responsibilities include coding, system design, code and design reviews, roadmap delivery, stakeholder collaboration, mentoring engineers, and driving technical strategy, quality, scalability, security, observability, and operational excellence. The role requires extensive software engineering experience, multi-team leadership, distributed systems expertise, and proficiency with modern programming languages, cloud platforms, microservices, containers, APIs, messaging, and DevSecOps.

Supports the Commercial Insurance product technology roadmap by translating business, pricing, underwriting, compliance, and enhancement needs into technical work. Manages roadmap items, backlog priorities, requirements, user stories, acceptance criteria, release planning, dependencies, risks, and stakeholder communication. Partners with engineering, program management, QA, underwriting, compliance, vendors, and other teams to support agile delivery, regulatory accuracy, operational readiness, customer experience, and platform stability.

Leads the design, development, and production integration of Generative AI solutions into distributed software systems. Evaluates AI models and tools, builds robust AI-enabled applications, leads design and code reviews, manages multiple sprint teams, mentors engineers, and partners with product, data science, and engineering teams to deliver scalable, measurable AI capabilities.

Design, develop, and maintain complex test automation frameworks, tools, libraries, and performance tests. Integrate automated testing into CI/CD pipelines, establish coding standards, analyze test results, and drive automation strategies. Collaborate with cross-functional teams, review code, troubleshoot framework issues, and mentor junior testing engineers. The role also supports cloud, containerization, DevSecOps, API, UI, and performance testing initiatives.