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

Owns the onboarding process from accepted offer through Day 1. Coordinates pre-employment tasks, tracks candidate information and deadlines, communicates with new hires, resolves issues with cross-functional teams, coordinates orientation and training placement, maintains rosters, documents workflows, and implements process improvements.

Own university data integrations from source discovery through validated, signed-off feeds. Build SQL queries and scheduled extracts, model data, support partner upgrades and migrations, translate institutional policies into accurate data feeds, and improve monitoring, documentation, and reusable integration patterns. Collaborate with registrars and database administrators while supporting a named set of university partners. The role requires deep experience with student information systems, including PeopleSoft, and occasional travel for partner onsite engagements.

Designs, simulates, prototypes, aligns, and tests complex optical, electro-optical, laser, and sensor systems. Develops scientific computing and data analysis routines, collaborates with mechanical, electrical, manufacturing, and quality teams on production hardware, and prepares test procedures, component specifications, and technical design reviews.

Lead the vision, roadmap, development, and delivery of cybersecurity threat intelligence products and the Global Intel Graph portfolio. Manage large-scale intelligence data, standardize cybersecurity entities, define integrations, and partner with engineering and domain experts. Validate SME data and AI-generated intelligence through labeling, accuracy checks, edge-case testing, and customer feedback. Lead cross-functional teams, communicate strategy to executives, and build scalable capabilities that improve threat detection and response.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate actionable insights; and influence leadership decisions. The role requires independently structuring data, solving ambiguous problems, communicating findings clearly, and driving recommendations through execution.

Leads client sales and service interactions by building supportive relationships, educating individuals about options, addressing concerns, and guiding them toward next steps. Models excellent communication and service for the team, provides leadership and motivation, and adapts to support other roles. The position requires sales and customer service experience, emotional intelligence, problem-solving skills, and the ability to remain effective under pressure.

Lead strategic finance engagements including financial and operating modeling, unit economics, cash management, and transaction support (M&A, equity/debt fundraising). Advise C-suite, implement process automation, oversee external providers, and deliver actionable recommendations to improve profitability, cash flow, and capital structure.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Supervise and lead the inside sales team, ensuring productive selling activity, timely quotes, customer satisfaction, and achievement of sales objectives. Recruit, interview, train, coach, and hold staff accountable. Coordinate with outside sales, regional management, HR, customers, suppliers, and corporate offices. Support sales and marketing plans, handle reporting, promote professionalism, and enforce company policies and procedures.

Conduct U.S. federal tax research, summarize primary and secondary sources, evaluate source accuracy, and assess AI-generated tax analysis. Collaborate with tax lawyers, accountants, developers, and data scientists to improve AI-powered tax research tools. Contribute strategic product thinking, respond to client feedback, troubleshoot issues, and adapt research across tax law areas while leveraging emerging technologies.