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

Leads architecture and hands-on development for AI frameworks, performance systems, benchmarking, and developer tools. Investigates issues across models, compilers, runtimes, services, and accelerator hardware; improves model onboarding, runtime performance, reliability, hardware utilization, and Azure efficiency. Establishes scalable measurement and observability capabilities, influences cross-team technical strategy, delivers production solutions, and mentors engineers while advancing engineering quality and maintainability.

Drive enterprise cybersecurity sales by identifying customer needs, building stakeholder relationships, developing solution strategies, and closing security opportunities. Manage technical, business, and partner resources to deliver customer value. Serve as a security subject matter expert, communicate Microsoft Cloud, AI, automation, compliance, identity, and Zero Trust capabilities, conduct forecasting and competitive analysis, and support account planning and digital transformation initiatives.

Lead cross-functional initiatives for Azure Capacity Management by improving operational processes, automation, reporting, governance, and decision-making. Partner with Engineering, Finance, Product, and Business Operations to address ambiguous business needs, coordinate strategic programs, reduce manual effort, and develop scalable operating mechanisms that improve execution and organizational effectiveness.

Leads cross-functional technical programs for Azure’s hardware fleet lifecycle. Develops strategy, platforms, tools, and processes; coordinates engineering, hardware, supply chain, operations, and security teams; manages roadmaps, governance, risks, metrics, and release alignment; and promotes generative AI capabilities to improve planning, engineering efficiency, reliability, and time to market. The role also coaches program managers and secures executive support for company-wide initiatives.

Lead a technical team enabling customers to adopt Azure cloud infrastructure for AI solutions. Build customer relationships, run architectural design sessions, guide CAF landing-zone implementations, improve resiliency across networking, security, and multi-region environments, resolve deployment blockers, manage delivery pipelines, and provide customer feedback to Microsoft engineering and product teams.

Drive technical sales and solution adoption through demonstrations, proofs of concept, hackathons, and architecture workshops. Partner with enterprise platform and engineering teams to design secure, scalable solutions using Microsoft Azure, Dynamics 365, Power Platform, and AI capabilities. Resolve technical blockers, influence solution architecture, support production deployments, build customer relationships, and represent Microsoft through technical thought leadership.

Leads Azure capacity automation and backend tooling programs across Engineering, Finance, Operations, and capacity planning teams. Translates business needs into requirements, user stories, acceptance criteria, and workflow specifications; manages dependencies, risks, governance, and delivery. Improves processes through automation, data analysis, reporting, and AI-powered solutions such as Microsoft Copilot. Drives stakeholder alignment, change adoption, data quality, documentation, and operational excellence across capacity allocation and prioritization workflows.

Lead end-to-end data science projects: acquire and prepare messy datasets, develop and evaluate models tied to business outcomes, operationalize models at scale, run experiments, drive ethics/privacy, partner with customers and teams, and coach cross-disciplinary colleagues.

Leads and develops a team of Azure Solution Engineers serving public-sector customers. Coaches technical discovery, architecture design, demonstrations, workshops, prototypes, proofs of concept, and customer technical engagements. Drives Azure and AI growth, sales execution, pipeline progression, forecasting, CRM hygiene, executive relationships, and partner collaboration. Ensures secure, scalable solutions and effective transitions to deployment, adoption, and customer success.

Provides technical leadership for AI framework and model-serving initiatives at cloud scale. Owns architecture, roadmaps, performance optimization, benchmarking, observability, and multi-release execution across models, compilers, runtimes, services, GPUs, and silicon. Leads cross-team alignment, makes architectural decisions, mentors engineers, performs hands-on implementation and debugging, and drives measurable improvements in model onboarding, runtime performance, reliability, hardware utilization, and Azure capacity efficiency.