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

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

The Enterprise Account Executive will drive enterprise sales of the Qualtrics Experience Management platform, engage with Fortune 100/500 clients, and consistently meet sales quotas while managing relationships.

Protects delivery commitments for 3–4 globally distributed Scrum teams by managing roadmaps, PI planning, dependencies, risks, milestones, and stakeholder communication. Facilitates Agile ceremonies, coaches teams, removes impediments, supports technical work decomposition, monitors delivery metrics, and drives process improvements. Partners across product, design, engineering, QA, and operations to coordinate releases and ensure software is delivered predictably.

Leads OppFi’s lifecycle and brand marketing strategy across acquisition, retention, repayment, servicing, and collections. Owns omnichannel communications through Braze, lifecycle KPIs, brand standards, creative direction, customer insights, and go-to-market strategy. Manages and mentors lifecycle marketing, design, and marketing technology teams while partnering cross-functionally with Product, Data, Engineering, Operations, Legal, Finance, and executives. Drives experimentation, optimization, customer experience, and responsible marketing within a regulated FinTech environment.

People Operations Generalist managing recruiting coordination, onboarding, HR systems, employee support, benefits administration, payroll support, facilities, and company events. The role maintains employee data, improves workflows through automation and AI, supports compliance, coordinates hiring campaigns, and serves as a trusted resource for employees and managers in a hybrid Denver office environment.

Own end-to-end onboarding for high-revenue customers, partnering with Account Executives and internal teams to guide data migration, payments setup, website configuration, team permissions, and product enablement. Serve as the primary customer contact, manage timelines and risks, conduct walkthroughs, resolve technical issues, document progress in CRM tools, and share feedback to improve onboarding processes.

Leads enterprise sales and strategic customer relationships for RigUp’s downstream energy solutions. Responsibilities include prospecting, pipeline management, proposals, negotiations, onboarding, account growth, market development, and cross-functional coordination with Operations, Product, Marketing, and Leadership. The role requires deep downstream oil and gas expertise, C-suite relationship development, complex RFP ownership, frequent client travel, AI-enabled sales workflows, and mentorship of account team members.

Leads Learning, Content, and Quality teams within Shared Services. Owns the strategic vision, operating models, onboarding curriculum, train-the-trainer programs, knowledge bases, quality processes, performance metrics, and AI enablement strategy. The role develops high-performing teams, reduces frontline ramp time and turnover, creates closed-loop feedback systems, and aligns training outcomes with operational KPIs while scaling support operations.

Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.