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

Manage product lifecycle and growth for Individual Segment dental and market-facing products. Drive enhancements, develop benefit designs and business cases, partner cross-functionally to launch compliant, operationally feasible products, monitor performance, and recommend strategies to balance growth, customer value, compliance, and profitability.

Lead engineering team to define and execute threat detection, platform, analytics, and automation roadmaps. Advance automated, AI-augmented detection and response across SIEM/EDR/NDR/SOAR and cloud environments, partner with Incident Response, and drive measurable risk reduction via metrics and team development.

Lead AI ideation, experimentation, and rapid prototyping to evaluate and operationalize generative AI, copilots, and agentic automation across product and enterprise. Advise stakeholders, produce proofs-of-concept, define standards and guardrails for responsible AI, and help teams translate validated ideas into scalable implementation plans.

Perform P&L analysis, reporting, planning and forecasting for business unit components; prepare executive-level presentations; provide financial insights to senior leadership; support monthly/quarterly reviews and collaborate with business partners to analyze financial trends and drivers.

Deliver client-ready reports and dashboards, analyze program and billing data, support account management and supplier invoice audits, resolve billing disputes, and participate in cross-functional projects to improve processes and automation.

Lead product strategy and roadmap for a Revenue & Profit Operating System. Define monetization, prioritize features, collaborate with engineering, data, finance, and go-to-market teams, analyze revenue/profit metrics, and drive product launches to improve profitability and customer value.

Work at the intersection of software engineering and operations to investigate production issues, improve reliability, build automation, enhance observability, and support customers. Develop and maintain C# and SQL Server solutions, reduce manual effort, convert production learnings into lasting improvements, and provide occasional after-hours support.

Act as the technical lead for customer implementation of Quantum Machines control systems: integrate solutions, collaborate with R&D to optimize delivery, advise customers on best practices, manage technical relationships, and translate complex requirements into actionable experiments to meet research objectives.

Design, implement, and optimize personalized digital experiences using experimentation platforms. Develop audience segmentation and targeting frameworks, run A/B and multivariate tests, partner with Analytics, Web, Content, and CRM teams, and report on results to improve customer journeys and business outcomes.

Lead design and delivery of enterprise Adobe Experience Platform solutions. Architect schemas, identity, ingestion, governance, personalization, and integrations with CRM/data lakes. Optimize CI/CD and deployment processes, mentor engineering teams, coordinate cross‑functional stakeholders, ensure security/privacy compliance, and produce architecture documentation and implementation roadmaps.

Design, develop, and maintain Customer Data Platform solutions and data pipelines to create unified customer profiles, manage identity resolution, enable audience segmentation and activation, ensure data quality and governance, and support integrations with marketing, CRM, and cloud data systems.

Provide technical phone support and document all customer interactions in the ticketing system. Diagnose and fix software issues, install and update applications, databases and OS components, train users, identify revenue and process-improvement opportunities, and report status to the manager while collaborating with Support, Development, Professional Services, and Product teams.

Produce operational and financial reporting, variance analysis, and forecasting to support executive and Board decisions. Validate network metrics, track costs and recoveries, maintain CRM data governance, and translate operational throughput into actionable financial insights.