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

Lead strategic sourcing for marketing categories, including agency, media, and creative services. Execute RFP, RFQ, and RFI events; negotiate and draft complex contracts; analyze spend; recommend suppliers to executives; partner with Legal, Finance, and business units; standardize sourcing processes; and apply AI-enabled procurement tools to improve efficiency, compliance, and cost optimization.

Leads the enterprise AI product portfolio, including a unified AI Core Platform with LLM gateways, retrieval systems, and agentic frameworks. Manages and mentors Product Managers while partnering with Data Science, Engineering, UX, Legal, and Governance teams. Establishes AI product methodologies, evaluates use cases, drives digital transformation, and governs ethical deployment, privacy, security, bias mitigation, and human oversight. Uses telemetry, SQL, and visualization tools to measure model performance, costs, and productivity.

Lead design and scale of Python-based UI/API/embedded automation frameworks with CI/CD integration for video/OTT testing. Build lab governance, deploy field-level network emulation, triage complex production defects, drive release readiness, adopt AI-driven testing and virtualization, and coordinate cross-functional stakeholders and vendors to optimize lab capacity and reliability.

Leads the design, deployment, and maintenance of highly available AWS cloud infrastructure supporting 5G systems. Builds automated recovery, zero-touch provisioning, infrastructure-as-code, container orchestration, and CI/CD workflows. Establishes standards for monitoring, incident response, backups, and performance tuning while mentoring junior engineers. Integrates AI tools for predictive capacity planning, infrastructure monitoring, and automated incident triage.

Manages IT Service Operations across Change, Problem, DevOps, and ITSM functions. Leads cross-functional teams, develops AI-driven service automation strategies, oversees SLA and OLA performance, conducts Change Advisory Board reviews, ensures compliance and deployment reliability, and provides executive recommendations through performance metrics and trend analysis.

Build and secure generative AI platforms, predictive risk models, real-time automation pipelines, and dashboards for Third Party Risk Management and broader GRC use cases. Develop RAG architectures, agentic workflows, evaluation frameworks, guardrails, and continuous evidence-collection systems. Apply Python, compliance frameworks, quantitative risk methodologies, and cloud-native security practices to transform fragmented vendor risk data into actionable forecasts and executive reporting.

Build and scale AI infrastructure through Python automation, AWS serverless architectures, EKS containerized workloads, Terraform infrastructure as code, and monitoring. Develop orchestration pipelines for model training and inference, manage large datasets and production availability, reduce recovery times, collaborate with QA and Product, and mentor engineers while maintaining code quality and operational performance.

Design and optimize ETL processes, data ingestion systems, streaming applications, and cloud data architectures using SQL, Python, Snowflake, AWS, and Redshift. Maintain and troubleshoot production data pipelines, integrate analytical outputs with business intelligence applications, optimize queries, and collaborate with analysts and engineers using Airflow and Databricks. Evaluate AI tools and emerging technologies to improve data warehouse workflows.

Leads cross-functional programs across manufacturing, distribution, in-home services, and IT infrastructure. Responsibilities include developing execution plans and schedules, translating business requirements into technical requirements, resolving operational bottlenecks, monitoring KPIs and risks, coordinating stakeholders, optimizing PMO processes, applying lean methodologies, and using AI workflow automation to improve efficiency. The role also requires data analysis, operational reporting, leadership by influence, mentoring, and conflict resolution.

Drives financial visibility through business case evaluation, pricing models, operational metrics, and financial forecasting. Builds financial models, analyzes historical performance, integrates enterprise data, and uses AI analytics tools to improve reporting. Partners cross-functionally with Accounting and Finance, develops strategic recommendations, and translates complex financial results into executive presentations supporting organizational decision-making.