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

Own full-cycle recruiting across technical, business, and go-to-market roles, from individual contributors through leadership. Partner with hiring managers and senior leaders on role definition, sourcing strategy, candidate evaluation, and hiring decisions. Manage complex searches, use funnel metrics to improve outcomes, maintain ATS rigor, enhance recruiting processes, and deliver consistent candidate experiences. Mentor recruiters and provide talent-market expertise, judgment, and stakeholder leadership.

Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.

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.

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.

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.

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.

Responsible for selling SentiLink solutions to financial institutions, driving value post-sale, and building long-term relationships with partners.

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 role involves leading security initiatives, building security tools, conducting vulnerability assessments, and collaborating with teams to enhance cloud security and risk management.

Lead and grow a model risk and governance team, set strategy, and run model validation, performance and drift monitoring, fair-lending assessments, governance documentation, model inventory, and change management. Own customer and regulator-facing governance relationships, prepare validation reports, track remediation, balance strategic roadmap with operational demands, and perform hands-on technical work as needed.