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

Partner with sales leads to drive initiatives that enhance sales performance and productivity. Analyze sales data to provide insights and develop action plans. Collaborate with cross-functional teams to address operational challenges and improve business processes.

Lead the design and development of full-stack features for real-time safety alerts, mentor junior engineers, and collaborate across teams.

The Inventory Control Manager will oversee inventory lifecycle, manage third-party warehouses, enhance operational efficiency, and drive continuous improvement in inventory practices.

Own and drive the vision, roadmap, and user experience for core support tools. Lead discovery, write PRDs and wireframes, manage execution with engineering and AI teams, coordinate launches and enablement, and track KPIs to drive adoption and business impact.

Lead Hardware Product Operations to drive successful hardware launches, owning cost, resilience, and supply chain enablement. Partner with R&D, NPI, engineering, product design, and external JDMs to maintain schedules, ramp to mass production, and manage supplier relationships. Build systems, hire and develop a high-performing team, and embed company cultural principles.

The Senior Knowledge Management Specialist will drive KM strategies, manage multiple projects, enhance KM processes with AI, and support cross-team collaboration.

Lead sales strategy and execution for new product launches. Collaborate with cross-functional teams to develop long-term strategies, analyze market trends, and drive performance improvements while ensuring customer success.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

Oversee procurement and accounts payable, implementing policies and technologies for efficient spend management. Lead a team for operational excellence and compliance.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.