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

Develop and integrate game features using Unity, C#, and various APIs while ensuring game performance and quality standards are met.

The Demand Generation Manager will develop and execute multi-channel marketing programs, leveraging digital channels and ABM strategies to drive awareness and pipeline growth. Responsibilities include optimizing campaigns, coordinating in-person events, and ensuring pipeline goals contribute to revenue growth.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

The Operations Associate will provide administrative assistance and operational support, manage communications, perform data entry, and organize meetings.

Lead and scale the Business Operations function by managing cross-functional ops teams, building processes, automations, KPIs, and systems, hiring and developing ops leaders, defining product priorities for ops experiences, and executing CEO-level strategic projects to drive company growth.

Own a Southern California territory to recruit, enable, and manage channel partners (TSDs, VARs, MSPs, agents) to drive midmarket CCaaS/UCaaS revenue. Build joint plans, support sales cycles, deliver enablement, attend trade shows, manage forecasts in Salesforce, and travel 30-50% to grow partner-sourced pipeline.

The Senior Director of Customer Success at Limber Health will manage large client accounts, drive growth through upselling, and lead a team focused on client satisfaction and success.

Seeking a Technology Lead with 5 years of experience in .NET technologies, project management, and architecture review, for IT consulting and engineering solutions.

Lead client relationships and accounting operations for a portfolio of startups: manage staff accountants, oversee month-end close and financial statements, support audits and due diligence, provide strategic financial analysis, and implement scalable accounting controls and systems.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.