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

Manage the full sales cycle for mid-market (250–1000 employee) customers in Central & West regions: prospect, demo product, build pipeline, forecast and close deals, record activity in Salesforce, attend events, and collaborate with Sales Engineers and BDRs to hit revenue targets.

Own the full sales cycle for mid-market (250-1000 employees) HRIS customers: prospect, demo, forecast, and close deals. Build pipeline via outbound activities, manage opportunities in Salesforce, attend events, and engage partners to drive revenue.

As a Product Manager at HiBob, you'll develop the Payroll product, manage the software lifecycle, collaborate with teams, leverage data for decision-making, and ensure user satisfaction while contributing to business development and client retention.

Own full sales cycle for mid-market prospects (digital agencies, Vertical SaaS, media, hosting). Prospect outbound, run tailored product demos, build differentiated business cases, navigate multi-stakeholder deals, collaborate with SEs and marketing, maintain CRM hygiene and forecasts, represent the company at events, and provide field feedback to inform GTM and product positioning.

Lead end-to-end execution of retail wireless program portfolios, align cross-functional stakeholders, remove operational bottlenecks, apply AI-driven productivity tools, and translate strategy into repeatable operational workflows to improve customer experience and deliver OKRs.

Design and implement resilient, scalable order orchestration systems and secure APIs for high-volume e-commerce. Lead architecture using AWS serverless and containerized microservices, optimize databases and event-driven patterns, improve reliability and deployment velocity, and apply AI/LLM tooling to automate troubleshooting and development workflows.

The .NET Developer II is responsible for developing and maintaining enterprise applications, managing CI/CD pipelines, integrating web services, and ensuring system stability through testing and monitoring.

Administer Atlassian Cloud (Jira, JSM, Confluence); design workflows, automations, and governance; develop REST API/webhook integrations; manage Atlassian Access (SSO/SCIM); build advanced JQL dashboards and reports; support cloud migrations, audits, and enterprise system integrations.

Design, install, and integrate aircraft mechanical systems and components. Create 3D CAD models, installation layouts, and detailed drawings. Manage PLM/BOM data, apply GD&T and tolerance stack-ups, support prototypes and production, perform root cause analysis, and collaborate across disciplines to ensure manufacturable, maintainable aircraft hardware.

Support on-orbit WGS satellite operations: advise customers on spacecraft and ground control, author procedures and change requests, run simulations and software/database testing, analyze satellite data and trends, perform technical studies, and support anomaly/problem resolution in a team environment.

Provide real-time on-orbit support and investigate/resolve GPS satellite anomalies. Train as a subsystem SME for satellite bus subsystems, interface with operations customers, perform telemetry trending and data analysis, write technical reports, and support spacecraft command processor and mission planning while improving processes and documentation.

The Software Engineer will develop Java-based applications, support the software development lifecycle, and mentor junior engineers in a missile defense project.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

Own the research-to-production pipeline: harden training/evaluation workflows, build packaging/deployment tooling, design release gates, optimize inference and serving for latency/throughput, establish benchmarking and validation, and instrument feedback from production to accelerate research iteration.

Manage and grow relationships with affluent customers by delivering multi-product banking, lending, and investment solutions. Acquire new customers, conduct discovery-driven planning, coordinate with Wealth/Home Lending/Business Banking partners, drive digital adoption, maintain documentation and compliance, and support branch team performance while meeting licensing and regulatory requirements.

Build and enhance AI and data solutions for insurance by collaborating with data architects, scientists, and engineers. Use AI-first tools and agents, design prompts, prototype generative AI, review AI-generated code for security and quality, track production trends, document patterns, participate in code reviews, and assist senior staff to scale AI capabilities across the platform.

Provide senior-level administrative support to Technology and Product leaders: manage complex calendars, coordinate travel and events, handle expense reports, improve administrative processes, and back up the Senior Executive Assistant to ensure seamless operations.

Provide staging, implementation, operational support, and troubleshooting for Comcast local LANs. Support enterprise data, wireless, voice, and video services; perform switchport and VLAN configuration; install and maintain switches, firewalls, and wireless APs; conduct wireless surveys and diagnostics; partner with engineering teams for outages and upgrades; document changes and provide on-site or remote smart-hands support.

Lead and grow a 4-8 person AI engineering team, own end-to-end delivery of LLM and ML features, remain hands-on with design and code, ensure production reliability and observability, and collaborate across product, platform, and customer teams.

Lead a small AI engineering team (4-8), own end-to-end delivery of LLM-powered and ML systems, stay hands-on with architecture and code, ensure production reliability, observability, and model evaluation, and partner with product and cross-functional teams to deploy scalable AI features for insurance customers.

Design and implement Salesforce solutions, lead integrations, mentor developers, and ensure best practices in a collaborative environment.