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

Lead design of EasyLlama's multi-product platform experiences, translating complex AI-driven architecture into intuitive systems. Define interaction models, embed trustworthy AI workflows, own design systems, run experiments with product and data teams, and drive measurable improvements in activation, engagement, retention, and expansion.

As a Training Solutions Specialist, you will drive revenue growth by expanding the training portfolio, leveraging sales expertise to develop business opportunities and meet client needs.

Own full-cycle B2B sales to acquire net-new multifamily property management clients: prospect, conduct discovery, build demos, close deals, support account launches, represent the company at events, track pipeline and competitive intelligence, and partner with GTM, Account Management, Marketing, and Customer Success to meet quota and improve sales processes while maintaining regulatory compliance.

Own full-cycle sales for a named book of multifamily property management clients: drive account engagement strategy, demos, launches, QBRs, and growth. Coordinate with Partner Success, GTM, Marketing, and Customer Success, manage pipeline and performance data, handle objections, ensure regulatory compliance, and improve pitch processes while meeting quota and delivering accurate, timely account management.

Own full-cycle sales on a named book while driving adoption of TheGuarantors products. Deliver virtual/in-person training, support leasing teams, monitor referral pipelines, collect product feedback, analyze client performance, and collaborate with Account Management and GTM teams to increase usage and expand business.

Lead strategy, roadmap, and delivery for a key commerce product area. Use AI tools to synthesize research, prototype concepts, drive end-to-end product development, own prioritization and releases, align cross-functional teams, and champion client needs to ensure high-quality, data-driven outcomes for enterprise eCommerce customers.

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

Lead test automation efforts: design, develop and execute Java-based automation (Selenium/Cypress), API/REST automation, E2E and UAT testing. Create test cases, scenarios and test data, run automation in CI/CD, generate test reports, and apply recent AI knowledge.

Lead onshore data engineering/solution lead responsible for hands-on implementation, mentoring junior developers, and managing onshore/offshore teams. Build ETL and data warehouse solutions using Azure (ADF, Synapse), Databricks, PySpark/Python and SQL. Create design artifacts, source-to-target mappings, and specification documents; able to work from client office locations.

As a Senior Software Engineer, you will develop product features end-to-end, collaborate with teams, and improve developer productivity.

As a Product Support Specialist, you'll be the main contact for customer inquiries, solve product issues, gather feedback, and improve processes while maintaining strong communication and relationships with users and the team.

Build and scale Tremendous' partner growth motion, developing relationships with referral partners, and aligning strategies across internal teams to drive revenue.

The AI Adoption Specialist guides organizations in integrating AI technologies, developing strategies, conducting pilots, and overseeing deployment while monitoring performance.

A Database Administrator manages and secures databases, ensuring data is accurate and available. Responsibilities include installation, performance optimization, security management, troubleshooting, and data integrity.

The Back End Software Engineer will design and build scalable services for a SaaS platform, collaborate with teams, and contribute to quality code and architecture discussions.

Lead FP&A for GTM and Services by building detailed bottoms-up financial models, driving budgeting and rolling forecasts, supporting month-end close, performing variance and margin analysis, tracking SaaS unit economics, partnering with RevOps/ServiceOps, and preparing executive-ready reports.

Lead the FP&A team to optimize financial strategies related to Go-To-Market and service operations, ensuring alignment with overall profitability while utilizing SaaS metrics and data-driven analysis.

As a Product Manager, you will lead enterprise SaaS implementations, manage customer onboarding, and optimize mortgage workflows to enhance client success and platform adoption.