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

Partner with Product, Design, and Engineering leaders to improve organizational design, talent management, performance, engagement, employee relations, and organizational change. Lead company-wide People programs, advise senior leaders, use people insights and HR technology to improve employee experiences, and strengthen People Partnering practices across the organization.

Prepare mechanical engineering calculations, reports, construction drawings, specifications, project schedules, and cost estimates for facility projects. Support new construction, retrofit, laboratory, mission-critical, energy conservation, facility assessment, and due diligence projects. Coordinate multidisciplinary work, meet deadlines, and collaborate within a team. CAD proficiency and Revit familiarity are preferred, while Microsoft Word and Excel proficiency are required.

Build and scale full-stack features for a highly available SaaS platform serving millions of K-12 students. Responsibilities include developing React and TypeScript frontends, backend services, APIs, PostgreSQL data models, infrastructure, and data pipelines; mentoring engineers; conducting code reviews; setting technical direction; collaborating cross-functionally; and participating in on-call support.

Lead Nava’s employee-facing healthcare technology product area. Responsibilities include shaping the roadmap, setting measurable product goals, conducting customer research, improving usability and satisfaction, partnering with support, marketing, engineering, and design, and driving product adoption and engagement. The role requires guiding products from discovery through delivery, achieving product-market fit, and aligning stakeholders around priorities and outcomes.

Supports customer experience testing and validation for new and updated security products. The role assists with product launches, training materials, customer feedback analysis, prototype testing, product experience requirements, installation validations, and documenting improvement opportunities. It collaborates with engineering, product management, technical services, and field teams while learning about access control, electronic locking, connectivity, mobile applications, and cloud technologies.

Participate in a 24-month rotational analyst program supporting BNY Wealth teams. Assist with research, analysis, and projects related to investing, borrowing, spending, tax management, legacy protection, and client service. Build wealth management, client advisory, communication, problem-solving, collaboration, and financial services skills while contributing to tailored solutions for individuals and families.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Develops and implements AI-driven solutions by creating sophisticated prompts and agents, aligning initiatives with digital transformation strategy, and integrating AI into business workflows. Collaborates with technical and business teams to translate needs into AI use cases. Leads quality assurance, volume, bias, and ethical testing while ensuring scalability, reliability, compliance, and repeatable implementation across the organization.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.