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

Lead the architecture and development of an enterprise workflow automation platform enhanced with generative AI. Build APIs, integrations, workflow engines, and custom customer solutions; deploy virtually or on-site across the United States; conduct workflow discovery; and serve as the technical customer-facing lead. The role requires autonomous technical decision-making, rapid iteration, leadership of engineers, and strong communication with executives and enterprise clients.

Leads end-to-end AI consulting engagements, translating ambiguous client problems into AI adoption roadmaps, workflows, and measurable business outcomes. Facilitates executive workshops, partners with engineering, manages change adoption, establishes governance, defines metrics, and communicates progress to senior stakeholders. The role also mentors teams and standardizes reusable delivery methods for generative-AI implementations.

Own and scale the company’s go-to-market operating system, including weekly cadence, pipeline hygiene, scorecards, CRM data, partner and consultant channels, event operations, trigger intelligence, marketing coordination, and leadership reporting. Build a trusted HubSpot-based source of truth, ensure GTM initiatives have owners and follow-through, and eventually lead the GTM operations function.

Lead the architecture and development of an enterprise workflow automation platform enhanced with generative AI. Build APIs, integrations, workflow engines, and platform foundations, then deploy solutions virtually or onsite with enterprise customers across the US. Conduct workflow discovery, rapidly prototype custom solutions, make independent technical decisions, guide engineers, and serve as a technical customer-facing leader.

Leads end-to-end generative AI consulting engagements, from discovery and roadmap development through implementation, adoption, scaling, and measurement. Facilitates executive workshops, partners with engineering teams, manages change, defines success metrics, communicates with stakeholders, mentors team members, and ensures AI initiatives deliver measurable business outcomes.