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

Leads the software engineering organization responsible for scalable, reliable applications and systems integrating hardware, embedded software, edge computing, cloud infrastructure, and machine learning. Sets technical strategy, develops engineering leaders, drives product delivery, establishes engineering standards, and ensures operational excellence across national-scale deployments. Partners with Product, Deployment, Data Science, and executive leadership to align roadmaps, resolve risks, and build high-performing distributed teams.

Leads the multidisciplinary Integrated Sensor engineering organization across hardware, embedded and edge software, cloud platforms, and distributed systems. Sets technical strategy, architecture, engineering standards, and product delivery processes while scaling reliable systems for nationwide field deployment. Responsibilities include recruiting and developing engineering leaders, coordinating hardware and software development, improving testing and operational resilience, resolving field issues, and partnering with Product, Deployment, Data Science, and company leadership.

Own and build GenLogs’ public sector customer success function, leading agency onboarding, adoption, retention, expansion, and renewals. Train users, translate workflows into platform queries, represent customer needs to product and engineering, support pre-sales, develop relationships across government stakeholders, and contribute to customer discovery and government projects. The role supports law enforcement missions and requires up to 40% travel in field environments.

As a Senior Software Engineer, you will work across the stack to create scalable and reliable systems for tracking freight intelligence, influencing architecture, mentoring, and collaborating with various teams.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, support ML workflows, and optimize query performance using various technologies.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.