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

Design and deliver polished, production-ready Figma experiences for consumers, merchants, and internal users. Own feature outcomes, iterate with research and analytics, collaborate with PMs and engineers, contribute to the design system, and use AI-assisted tools to accelerate prototyping and design consistency.

As a Fraud Operations Specialist, you will investigate fraud cases, analyze risk scores, collaborate across departments, and improve fraud detection processes. You will use data analysis to ensure compliance and support the overall efficiency of claims management.

The Senior Recruiter will manage full-cycle recruiting for Revenue and Product & Engineering teams, developing innovative strategies and acting as a brand ambassador.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

Review and adjudicate complex product and shipping protection claims, serve as escalation contact, investigate fraud, coordinate service technicians/parts, communicate decisions to customers and partners, maintain documentation, meet SLAs, and recommend process improvements.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Senior Software Engineer II will work on AI-driven solutions, developing and deploying scalable applications while mentoring engineers and collaborating with cross-functional teams.

As a Product Manager II, you will drive product strategy, manage lifecycle from discovery to launch, and leverage user data for decision-making. You'll collaborate with cross-functional teams and advocate for AI integration to enhance the customer experience while refining the product roadmap.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

Lead a team of machine learning data scientists, overseeing model development for fraud detection and risk assessment, and ensuring quality throughout the model lifecycle while mentoring the team.