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

Manage relationships for enterprise bank, credit union, and fintech clients. Onboard customers, provide dashboard training, establish business goals, share performance insights, drive renewals, and consult on fraud solutions. Collaborate cross-functionally with Sales, Data Science, Product, and Engineering to maximize customer success and adoption.

Perform end-to-end analytics to quantify partner value and build ROI narratives from pilot datasets. Support sales and partner success with discovery calls, fraud strategy discussions, presentations, technical support, and thought leadership (white papers). Coach team members, maintain customer relationships, and communicate insights to senior stakeholders to drive adoption.

Manage strategic bank, credit union, and fintech accounts to drive adoption, onboarding, and product-driven fraud mitigation. Provide consultative guidance, set business goals, run trainings, share performance data, collaborate cross-functionally, support renewals, and travel to clients as needed.

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

The Accounting Manager will oversee operating expenses and general accounting, manage monthly close, develop accounting processes, lead a team, and support audits.

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 SentiLink’s go-to-market for crypto, driving enterprise sales across exchanges, wallets, stablecoins, payment platforms, and blockchain providers. Own full sales cycles, define vertical strategy and playbooks, build stakeholder relationships across fraud, risk, compliance, and product, and partner cross-functionally to drive adoption and customer outcomes while monitoring market, regulatory, and fraud trends.

Manage and grow a team of data scientists building end-to-end fraud detection models and products. Provide technical mentorship, lead cross-functional planning and communication, develop production-ready models and code, research new fraud types, and deliver data-driven insights to inform product, operations, and business strategy.

Design and produce digital and print marketing assets (web pages, emails, ads, collateral, event materials), maintain brand consistency, create web and email templates, collaborate cross-functionally with marketing, sales, and events, manage multiple projects and deadlines, and stay current on design trends and tools to elevate creative output.

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.