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

Manages and grows a residential customer portfolio within an assigned territory. Develops customer relationships, generates new business, achieves sales goals, maintains CRM activity records, analyzes market trends, executes sales strategies, and provides consultative customer service. Collaborates with internal teams and participates in sales meetings, training, trade shows, conferences, and conventions.

Owns complex property subrogation recovery efforts, including investigation, liability evaluation, evidence preservation, expert and litigation strategy, vendor and counsel oversight, negotiation, reserving, and reporting. The role also trains claims adjusters, identifies high-value recovery opportunities, manages multi-state legal considerations, and improves the broader recovery program in a remote environment.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.

Own pricing for partial truckload, refrigerated LTL, and expedited freight bids. Analyze shipment and market data, establish lane costs and capacity assumptions, apply margins, validate carrier capacity, and submit accurate customer RFPs on deadline. Partner with Business Development, carrier sales, and strategy teams while tracking bid outcomes and improving pricing tools and processes.

Generate new enterprise business sales across the North Central territory by developing account and territory plans, prospecting, creating executive-level demand, and managing complex sales cycles through close. The role sells Nexthink’s software, services, and support to IT and digital workplace leaders, coordinates proof-of-concepts, builds business cases, negotiates contracts, partners with channel and internal teams, and consistently exceeds bookings targets.

Own the full B2B sales cycle across EMEA and the US, from outbound prospecting and opportunity creation through negotiation, closing, and account expansion. Sell content syndication, qualified leads, and intent-led demand-generation programs to senior marketing and sales decision-makers. Build pipeline, meet revenue targets, maintain accurate CRM forecasts, grow existing accounts, and collaborate with delivery, data, media, and client success teams.

Develop and maintain commercial scientific visualization software in modern C++ on Windows. Build desktop features across backend engines and user interfaces, improve performance for large datasets, and expand automation, scripting, APIs, and system extensibility. Collaborate with product managers and engineers on architecture, feasibility, code reviews, technical debt, and cross-codebase initiatives while improving customer workflows and software quality.

Leads mobile QA and automation strategy for iOS and Android React Native applications. Architects scalable test frameworks for mobile, web, and REST APIs; develops automated UI, integration, regression, performance, and release tests; integrates testing into CI/CD pipelines; manages QA backlogs and release readiness; troubleshoots defects; defines quality standards; and mentors QA engineers while supporting hiring and practice development.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Serve as the technical SAP integration expert in pre-sales engagements. Advise prospects on SAP landscapes, APIs, connectors, SFTP, SAML, data structures, and automation workflows. Support late-stage sales opportunities through demonstrations, technical discovery, proof-of-concepts, integration design, and customer-facing documentation. Collaborate with Sales, Solutions Consulting, Product, and Engineering teams to resolve technical blockers and communicate integration requirements.