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

Lead and build the Risk Analytics function: define pricing methodology and risk frameworks, own portfolio and pricing strategy, convert monitoring into decision systems, architect the Risk Analytics data layer (dbt/Snowflake), mentor senior data scientists, and represent risk recommendations to senior leadership to drive business decisions.

Lead cross-functional teams to identify and implement revenue-driving strategies. Own revenue optimization, develop quantitative analyses (A/B testing, causal impact), improve data pipelines and tracking, embed AI into workflows, and present insights to leadership to scale and recover revenue.

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.

Owns analytics and reporting that inform sales, merchant success, product, and fraud teams; builds business cases, pricing models, dashboards, and ROI analyses to drive merchant acquisition, expansion, and retention.

Own GTM strategy and category growth for assigned retail verticals across product and shipping protection. Lead pod operations, synthesize merchant and market insights into GTM playbooks, influence the product roadmap, advise key accounts, design custom solutions, and drive revenue and pricing competitiveness using data and AI-driven tools.

Lead end-to-end development of fraud and risk ML systems: define problems, engineer features, build and evaluate models, collaborate with product and engineering, deploy with ML engineers, and monitor production performance to detect drift and trigger retraining.

Provide day-to-day legal support for a fast-paced tech company: draft and negotiate commercial contracts, advise cross-functional teams (revenue, product, HR, finance, engineering), assist corporate governance and board preparations, support public company readiness, oversee global corporate administration and compliance, and help scale the legal function.

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.

Lead Revenue Analytics by developing data-driven strategies to maximize revenue, own and improve data pipelines, run advanced experiments and causal analyses, lead cross-functional initiatives, mentor junior analysts, and embed AI tools into workflows to scale impact.