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

Define and own product vision, strategy, and roadmap for Federal/Public Sector teams in a CMMC Level 2 environment. Translate stakeholder needs into prioritized backlog items, perform gap analyses and user story mapping, manage budgets, drive governance, and partner with Security & Compliance and delivery teams to maximize value, adoption, and operational efficiency.

Design and implement FinOps solutions for clients by analyzing cloud usage and costs, identifying optimization opportunities, building forecasts and reports, advising on Google Cloud cost structures, and collaborating with cross-functional teams to deliver cost-efficient cloud architectures and ongoing FinOps support.

Customer-facing technical architect role designing, sizing, and delivering high-performance AI storage and data platform solutions. Lead partner solution development, pre-sales engagements, reference architectures, enablement, and field support for enterprise and hyperscale AI workloads. Work spans parallel file systems, object/NAS storage, NVMe-oF and GPU-Direct Storage, data pipelines, lakehouse architectures, and NVIDIA AI Platform integrations.

Support quoting and order management for assigned IT accounts; respond to RFQs, process orders, track fulfillment, leverage WWT systems and partner programs, identify upsell opportunities, and mentor new sales ops staff.

Manage multiple public-sector IT infrastructure projects end-to-end, ensuring on-time, on-budget delivery. Lead stakeholders, vendors, and internal teams; build schedules, manage risks, finances, QA, and client communications for networking, wireless, and unified communications engagements.

Manage quoting and order management for assigned accounts; respond to RFQs; configure solutions using WWT tools; track orders; leverage promotions and rebates; identify upsell opportunities; produce reports; collaborate with client managers, sales engineers and partners; mentor and onboard new sales ops employees.

The AI Services Consultant develops and positions AI consulting engagements, collaborates with regional teams, and scoping services, ensuring successful transitions from sales to delivery.

The AI Development Specialist engages with enterprise developer teams to sell coding assistants and AI solutions, co-sells with NVIDIA, and proposes consulting engagements, focusing on improving developer productivity and application performance.

The AI Solutions Architect drives pre-sales efforts by designing AI architectures, leading technical discovery sessions, and coordinating proof-of-concept engagements to meet customer requirements.

The AI Solutions Director oversees multiple AI POD teams, managing performance, sales strategies, and direct customer engagements to drive AI adoption and revenue growth.