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

Own Riverside’s product education strategy and independently create polished videos from scripting through final editing. Serve as the on-camera face of the company, produce YouTube tutorials and product demos, and build Riverside University into a comprehensive learning hub. Collaborate with Product, Marketing, Design, and Social teams, communicate new features, incorporate user feedback into product development, and use content strategy to drive growth.

The posting provides no defined responsibilities or qualifications. It states that media inquiries and potential public engagement will be considered individually based on context, relevance, and timing.

Provide day-to-day corporate and commercial legal support, including drafting, reviewing, and negotiating contracts. Manage cross-border matters involving the US, UK, and EU; independently handle routine legal issues; build legal processes; and coordinate external counsel for complex or jurisdiction-specific matters. Provide practical, commercially minded advice to the business.

Marketing interns will join Boulder Weekly’s Street Team, attend events, set up booths, distribute marketing materials, answer questions about the newspaper, create spec ads, and support grassroots and social media marketing. The role involves promoting Boulder Weekly positively, engaging with readers, and working 5–15 hours weekly, including some weekends. Reliable transportation, strong people skills, initiative, and the ability to stand for extended periods are required. This is an unpaid internship.

Own end-to-end launches and product upgrades across global markets. Coordinate Product Development, suppliers, Supply Chain, Ecommerce, Marketing, Sales, Compliance, and country teams to achieve launch readiness. Manage milestones, dependencies, risks, quality gates, documentation, inventory, Shopify setup, training, testing, and go/no-go decisions. Improve launch processes through retrospectives, risk tracking, SKU transitions, and installation manual quality improvements.

Supports the revenue team through Salesforce and Apollo data hygiene, CRM administration, reporting, AI-assisted workflow development, commission processes, performance reviews, and sales enablement. The intern will clean and manage records, research and automate repetitive tasks using AI tools, prepare confidential documents, verify numbers, and help train the revenue team on sales tools and processes.

Build and deploy production machine-learning systems within client environments, covering data discovery, modeling, validation, deployment, scheduling, monitoring, and retraining. Develop forecasting and detection models for imperfect time-series data, establish honest evaluation and KPI frameworks, and ship usable APIs or interfaces. Work directly with client IT and data teams through discovery, demos, and feedback cycles. The role also involves data engineering, software development, basic cloud and DevOps work, and advising clients when ML is not appropriate.

Provides executive and operational support to the founders, managing calendars, inboxes, travel, leadership meetings, action items, hiring coordination, candidate pipelines, finance coordination, market research, marketing support, and ad-hoc projects. The role begins with administrative execution and expands into cross-functional project management, process design, and strategic initiative support. It requires high autonomy, discretion, sound judgment, strong communication, ownership, and the ability to organize a fast-paced startup environment.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Lead the design, development, deployment, and governance of advanced analytics, machine learning, and AI solutions using large healthcare datasets. Responsibilities include data preparation, statistical and predictive modeling, model monitoring, explainability, visualization, stakeholder communication, and translating findings into clinical and operational improvements. The role also mentors data professionals, advises leaders, manages initiative priorities and risks, and promotes responsible AI and Agile practices.