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

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Lead a team of developers to design and deliver UiPath RPA and agentic solutions. Provide technical guidance, architect sustainable automations, mentor engineers, integrate systems via APIs, configure UiPath AI/LLM interfaces and document understanding, and drive customer adoption and advocacy.

Sell Everlaw's cloud-based eDiscovery SaaS to AmLaw 200 and enterprise legal customers. Own complex sales cycles from qualification through close, demo product to subject-matter experts, build and manage a pipeline, collaborate with SDRs and sales leadership, present needs analyses to senior stakeholders, meet quota targets, and travel domestically to engage clients.

The job involves submitting your resume for potential future consulting opportunities with RockITek as they grow and hire for various roles.

As a Valuation Specialist, you will perform property valuations, build client relationships, collaborate across teams, and present analysis findings.

Lead the bioinformatics pipeline team, setting technical strategy and architecture. Ensure engineering best practices, mentor staff, and oversee DevOps strategy for reliable software delivery in a regulated environment.

This role involves selling enterprise-grade SaaS solutions to the Health Insurance sector, managing C-level relationships, strategizing territory plans, and identifying new opportunities within the Healthcare sector.

The Strategist role involves managing online fundraising campaigns, client interactions, content creation, and utilizing political technology tools to enhance campaign efficiency.

The Senior Site Reliability Engineer at Juul Labs ensures operational stability and performance of hybrid cloud infrastructure, leads automation, and handles critical incidents.

Build and re-architect Shipt's LLM-native search stack including retrieval and ranking systems. Design multi-task and multi-objective models, integrate personalization signals, develop hybrid dense/sparse retrieval, and apply generative retrieval and query expansion. Analyze search data, report findings to leadership, and partner with senior scientists and ML engineers to improve relevance, revenue trade-offs, and operational metrics.