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

Guide loan applications through origination by analyzing bank statements, validating documentation to KYC/CIP standards, identifying missing information, coordinating with underwriters and internal teams, and maintaining high data accuracy and integrity throughout the lending lifecycle.

Design, build, deploy, and iterate production-ready AI agents and LLM-based solutions that integrate with enterprise workflows. Rapidly prototype, evaluate, and optimize agents for performance, cost, and adoption. Partner across functions to redesign workflows, contribute to an AI Center of Excellence, and ensure responsible, secure, and scalable agent development.

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

Lead end-to-end development of full-stack AI features on a Ruby on Rails backend and React frontend. Build and optimize AI infrastructure for production LLM inference, implement RAG and AI agents, design and run experiments and A/B tests, improve tooling and processes for scale, collaborate with designers and leaders, and iterate quickly while maintaining high code quality and user experience.

The Senior Growth Designer will lead the design of Circle's marketing website, creating visually compelling pages that drive conversions and enhance the brand experience. This includes collaborating with marketing teams and utilizing design best practices.

Build and maintain high-scale backend systems and APIs for a 24/7 sports betting platform. Deliver production-ready code, own services end-to-end, resolve production incidents, optimize performance, and mentor peers while collaborating with product and architecture teams.

Partner with Institutional senior leadership to structure ambiguous strategic problems, build quantitative business cases and financial models, translate data into executive recommendations, design experiments to validate hypotheses, drive implementation end-to-end, and improve processes, frameworks, and operational tooling to shape product and go-to-market strategy.

Lead program delivery for Agent Cockpit, coordinating cross-functional teams, managing roadmaps, dependencies, launch readiness, security reviews, reliability and observability programs, and agent enablement to ensure a stable, performant internal compliance platform.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Execute contract administration and order processing, audit renewals for accuracy, handle inbound chat and calls, triage escalations, and partner with Sales, Customer Success, and Revenue Operations while using AI tools to flag issues and draft responses.

Deliver sales reporting, data preparation, dashboard updates, and analysis to support sales intelligence. Maintain data accuracy across the warehouse and CRM, build Power BI visuals, execute ETL processes, and translate insights for non-technical stakeholders.

Manage audit engagements for manufacturing clients, ensuring compliance and operational excellence. Lead teams, oversee operations, and communicate financial insights.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

Field-based Territory Account Executive responsible for full-cycle, self-sourced sales: prospecting, live demos, closing deals, and building a high-velocity pipeline. Spend most of the week meeting local businesses, establishing partnerships, driving referrals, and managing pipeline in Salesforce to consistently exceed quota and accelerate seller onboarding and time-to-value.

Serve as the bridge between AI models and field operations to deliver measurable business value. Prepare data for AI readiness and governance, implement and iterate a knowledge-base chatbot, pilot wearable AI and AR onboarding for technicians, build an "AI manager" with agentic workflows, and standardize prompts, automation, and workflows to optimize technician productivity and service quality.

Prepare and review federal corporate income tax returns and ASC 740 provisions, calculate quarterly estimated taxes, support audits and controversy matters, streamline tax data workflows using AI and data blending tools, collaborate with accounting, legal, and external advisors, and modernize tax reporting via automation and enterprise performance management platforms.

Design, build, and modernize ticketing and provisioning systems to optimize routing, automated user provisioning, and case management. Develop high-performance data extraction workflows across relational and non-relational stores, maintain APIs and CI/CD pipelines, produce technical documentation, and identify AI-driven automation opportunities to improve system reliability and operational efficiency.

Lead and oversee high-complexity portfolios (often >$70M), manage strategic initiative governance, budgeting, milestone reporting, vendor relationships, and mentor other portfolio managers while coordinating across multidisciplinary teams to ensure portfolio success.

Lead product vision and roadmap for merchant services analytics, prioritize backlog, translate business and technical requirements (including Oracle schemas), coordinate Scrum teams, perform UAT, and deliver analytics and compensation-related data solutions while managing stakeholder intake and transparency.