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

Manage day-to-day operations for a small fair-trade jewelry company: run backend software (no dev required), handle customer and sales support, manage purchasing, shipping and inventory, plan seasonal collection launches, maintain office operations, and manage ad-hoc projects. Opportunity to hire temporary shippers and contribute to marketing.

Coach, mentor, and train early-career software engineers; run daily labs; guide project requirements and implementation; support recruiting via technical interviews; assist Engineering Manager with planning, execution, and performance oversight; maintain and evolve training materials and course integration; capture feedback and escalate performance issues.

Sell new and used vehicles through consultative selling, product knowledge, and professional demonstrations. Build and maintain customer relationships, follow up for referrals, overcome objections, and report to the Sales Manager. Provide excellent customer service and participate in training and development.

Lead development by directing AI coding agents: write precise specs, decompose work, orchestrate and verify agent output, review and ship code with high security and correctness standards, and improve shared agent tooling and processes.

Manage end-to-end client operational workflows including onboarding, account maintenance, and custodial communications. Maintain and enhance CRM workflows (PractiFi), update portfolio data (Orion), process client forms and e-signatures, coordinate with custodians (Charles Schwab), and continuously improve operations. Support recruiting and training on the Operations team and act as a reliable, service-oriented administrative partner for planners and advisors.

Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.

Design, optimize, and operate large-scale data pipelines focused on performance and scalability. Support ML workflows including feature extraction, model training, and real-time inference. Build solutions using Python, SQL, AWS data services and Apache Spark, and train/deploy models with SageMaker, TensorFlow, or PyTorch in a fast-paced remote environment.

Build and maintain internal and customer-facing web/cloud apps and AI automations. Integrate with third-party APIs (QuickBooks, Microsoft Graph, Zoho, Zoom), implement generative-AI features, ensure security, deploy to cloud, and collaborate with leadership and IT. Work independently on design, testing, and maintenance across varied projects.

Meet with homeowners to assess heating and cooling needs, recommend HVAC and indoor air quality solutions, follow up through sales and installation, build lasting client relationships, and meet revenue and gross margin goals while managing schedules and working in varied physical conditions.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define analytics strategies, develop thought leadership, communicate data value, and lead large-scale, complex client engagements delivering CRM modeling, reporting, and predictive analytics solutions.