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

Own and enhance a large section of the API platform: lead technical direction, design and build API decisioning products, write automated tests, troubleshoot/resolve production issues, ensure SLAs and participate in on-call rotations, and collaborate with product, security, and engineering teams.

The Engineering Manager will lead the Data Platform team, overseeing data infrastructure and scalable systems, ensuring reliability and accessibility of data across products and teams, and driving technical vision and best practices.

Lead a backend engineering team, drive technical direction, ensure system reliability, collaborate with product teams, and contribute to architecture and design.

Own end-to-end solution analytics for sales and partners: scope pilots, run analyses, build ROI narratives, present insights to stakeholders, and support partner success and product teams to reduce fraud and demonstrate value.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

The AI Process & Productivity Lead will identify and implement AI solutions to improve business processes, driving productivity gains and cost efficiency across the organization.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

The Fraud Intelligence Analyst investigates fraud cases, translates insights for product development, identifies fraud patterns, supports revenue workflows, and builds domain expertise through high-volume casework.