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

Design, build, and own scalable data pipelines and warehousing architecture from ingestion through analytics and incentive payouts. Lead data platform architecture, dbt modeling, data quality, lineage, observability, performance, and cost management. Partner with engineers and analysts on telematics accuracy and driver incentive reporting. Use AI coding tools daily to develop and review pipelines, SQL, and data models.

Leads hands-on full-stack development across architecture, implementation, testing, deployment, and support. Designs secure, scalable C#/.NET and Angular applications, cloud integrations, APIs, and data solutions on AWS. Guides developers, establishes engineering standards, manages CI/CD and automated testing, troubleshoots complex issues, and drives cloud optimization, security, and technical debt reduction. Collaborates with product, architecture, DevOps, analytics, and project teams while supporting migration of on-premises applications to AWS.

Owns co-marketing and joint go-to-market campaigns for Monad ecosystem integrations and deployments. Responsibilities include identifying high-impact opportunities, developing narratives, creating social activations, writing case studies and blogs, coordinating creative, legal, compliance, and launch workflows, and measuring campaign performance. The role requires managing complex external workstreams and collaborating with crypto-native and traditional business partners.

Own end-to-end customer deployments from kickoff to live, adopted production solutions. Scope MVPs, write requirements, manage backlog and timelines, QA deliverables, configure platform elements, run go-lives, drive adoption, and hand off to steady-state while partnering with engineering and sales to prove business value.

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.

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.

Conduct outbound prospecting through cold calls and emails, qualify leads, demonstrate product value, address objections, maintain account records, and collaborate with Account Executives to advance qualified opportunities. The role requires learning SaaS product capabilities, researching prospects and personas, building relationships, and contributing to business development goals in a fully remote environment.

Conduct outbound prospecting through cold calls, research, and engagement to identify and qualify B2B sales opportunities. Introduce prospective buyers to clients’ hardware and software solutions, collaborate with sales teams on outreach strategies, maintain accurate CRM records, and monitor industry and competitive trends.

Build and improve RWX’s developer, build, and test cloud across product areas. Work as a generalist on UI, infrastructure, Linux systems, CI/CD, and reliability. Own planning, execution, releases, architecture, integration testing, and product decisions while maintaining high software quality and thoughtful use of AI agents.