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

Lead and grow a multidisciplinary engineering team across full-stack, data engineering, and BI. Own people management, technical direction (C#/.NET, SQL, Vue 3, Power BI), data pipeline reliability, roadmap delivery, cross-functional collaboration, and engineering best practices to improve velocity, quality, and health outcomes.

Lead sustainable finance projects for fisheries and aquaculture: manage project pipeline, design business and financing models, build financial analyses and business cases, advise field teams, manage consultants, and communicate value propositions to diverse stakeholders to advance conservation finance goals.

Serve as the front-line brand ambassador: greet visitors, manage phone and digital guest systems, issue badges, support meetings and events, maintain reception and pantry areas, and cross-train in mail, hospitality, and facilities tasks to keep the office running smoothly.

Build and deploy integrations between the Bayesian platform and large EHR systems, implement automated integration and end-to-end tests, support production deployments and go-lives, develop tooling and automation (including LLMs), and collaborate with implementation and clinical teams to deliver clinician-facing workflows.

Participate in a 36-month rotational supply chain development program with year-long assignments across functions (manufacturing, planning, logistics, procurement, analytics, etc.). Analyze processes and data, partner cross-functionally to solve business problems, develop project management and leadership skills, and relocate for rotations as required.

Drive sales to military and federal customers by building and expanding relationships, establishing dealer partnerships, managing CRM records, coordinating internal teams and supply chain, and traveling (~50%) to bases, trade shows, and events to generate leads and close business.

Manage and mentor a team of BSA/AML analysts overseeing customer onboarding, transaction monitoring, investigations, SAR filings, OFAC screening, and high-risk customer reviews. Own alert lifecycle, liaison with BaaS partners and law enforcement, support policy development, and coordinate responses to audits and examinations.

Own technical product planning for AI inference software: define requirements across model coverage, numerics, inference engine and serving-stack features, roadmap planning, ecosystem engagement, documentation, lifecycle management, and automation using agentic AI. Translate model and system trends into engineering scope and partner with engineering and GTM teams to deliver a managed inference service.

Execute end-to-end customer onboarding using defined playbooks, configure and train customers for early product adoption, track milestones, escalate risks and bugs, coordinate with Engineering and Product, and contribute to onboarding documentation and process improvements to ensure timely first value and high customer satisfaction.

Own product marketing for a technical AI-infrastructure startup: positioning, messaging, launches, packaging, customer stories, competitive differentiation, sales enablement, and market feedback to shape product roadmap and adoption among AI-native teams and enterprises.