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

Collect, clean, and analyze sports data; develop machine learning and predictive models; create visualizations and reports; collaborate with data and sports strategy teams; and monitor advances in sports analytics.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.

Build and maintain patient- and provider-facing applications using SvelteKit, Tailwind, and TypeScript. Develop Android and iOS progressive web applications, extend PWAs with Kotlin and Swift plugins, integrate CGMs and Apple HealthKit, and consume secure APIs. Collaborate with backend engineers, designers, and clinical experts to deliver accessible, reliable, performant, and patient-safe healthcare experiences.

Own AI-powered healthcare products from discovery through launch and iteration. Translate clinical workflows into product requirements, partner with engineering, clinical, and design teams, manage execution, define success metrics, conduct user research, and incorporate AI safely within regulatory and quality requirements. Help shape product strategy and scalable processes in an early-stage startup.

Provide Robert's Rules guidance to the CEO, review agendas, facilitate meetings, take and distribute minutes, resolve procedural conflicts, and support continuous improvement. Attend weekly standups and commit to at least 4 hours/week; first task will help launch a fundraising campaign.

Direct the governance and operating cadence for an enterprise AI portfolio. Own portfolio health, intake, prioritization, stage gates, risk reviews, compliance evidence, executive reporting, and delivery predictability. Lead program managers, resolve cross-functional dependencies, and ensure AI programs meet security, regulatory, quality, cost, and business-outcome requirements. The role requires technical fluency in AI, multi-tenant SaaS delivery, acquired-platform integration, and regulated environments.

Design, develop, deploy, and maintain scalable cloud applications and client-installed agents using C# and .NET. Own platform integrations, troubleshoot production issues, optimize performance and costs, improve testing and automation, and uphold software security and quality. Collaborate with product, architecture, UX, support, and customers; contribute to technical and architectural decisions; and mentor engineers. The role also requires polyglot development across integrations and familiarity with cloud security, PAM, Azure, CI/CD, and automation practices.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Lead Reprise’s marketing function and redesign its B2B go-to-market approach with an AI-first strategy. Own pipeline generation, demand generation, ABM, content, events, partnerships, analyst relations, social media, marketing tooling, budget, and external partners. Set and achieve monthly pipeline targets, establish category leadership in demo automation, optimize program spending, and combine strategic leadership with hands-on execution.

Generate qualified sales pipeline through personalized, high-volume outbound outreach to engineering leaders and technical buyers across global markets. Research target accounts, identify stakeholders and buying triggers, qualify technical and business needs, handle objections, and maintain accurate CRM data. Partner with Account Executives on account strategies and handoffs while continuously testing and improving messaging and prospecting workflows.

Own end-to-end B2B SaaS sales cycles in global markets, selling to technical buyers and senior managers. Generate pipeline through outbound prospecting, lead discovery and qualification, manage forecasts in CRM tools, and lead POVs or POCs. The role requires consultative selling, autonomy, strong deal progression, and collaboration across flexible US and Israeli time zones in a fast-paced startup environment.

Leads the commercial Learning and Development function by setting strategy, governance, capability roadmaps, and development priorities. Oversees onboarding, sales effectiveness, product knowledge, leadership development, certification, and continuous learning programs. Manages the L&D team, budget, vendors, technologies, analytics, and performance measurement. Partners with commercial, sales, HR, marketing, and talent leaders to address capability gaps, improve workforce readiness, drive adoption, and deliver measurable business results across a geographically dispersed organization.

Build and scale Geolava’s spatial intelligence products across frontend and backend systems. Design APIs, data models, and LLM agent workflows; own features from design through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to deliver reliable, polished solutions. The role requires strong product judgment, autonomy, production Python experience, full-stack TypeScript and React expertise, cloud infrastructure knowledge, and familiarity with agent loops, RAG, MCP, and geospatial technologies.