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

Lead client implementations and integrations for fraud and compliance products. Translate technical and business requirements into scalable solutions, manage onboarding and implementation projects, own API and SDK documentation, analyze SQL queries and JSON payloads, and collaborate with clients and internal teams to deliver successful deployments. Provide product feedback and support multiple projects while managing timelines, risks, quality, and deliverables.

Own the Sonar product roadmap and develop infrastructure for secure collaboration, identity, investigation, and distribution across financial institutions and their AI agents. Define technical specifications, integration documentation, regulatory product requirements, success metrics, and platform architecture. Partner with Engineering, Legal, fraud and AML teams, Sales, Business Development, and institutional partners to scale API and data-sharing capabilities within financial crime compliance constraints.

Own technical and functional customer support for Sardine’s API-driven risk and payment platform. Troubleshoot complex customer issues, analyze API and web-stack problems, collaborate with engineering and third-party providers, document solutions, and advocate for product improvements. The role requires strong knowledge of APIs, cloud infrastructure, SQL, SaaS support, and fintech or compliance environments while operating independently in a remote, high-volume support setting.

Conduct user acceptance, functional, regression, API, performance, and automation testing across dashboard, API, and mobile SDK products. Develop test plans and scripts, document and track defects, perform root cause analysis, support release troubleshooting in cloud environments, and collaborate with customers, product owners, engineers, and stakeholders to ensure product quality.

Leads Sardine’s Integration and Support Engineering organization of approximately 20 people. Builds scalable playbooks, onboarding processes, SLAs, and operational standards; develops technical leaders; provides technical judgment for customer scoping and contracts; partners with Sales, Account Management, and POC teams; and drives successful implementations, customer satisfaction, expansion, and retention.

Own and deliver polished, accessible, high-performance frontend experiences using React and TypeScript. Set frontend technical standards, mentor engineers, use AI-assisted development tools, and contribute to product roadmaps. Build backend services and APIs in Go as needed, collaborate with stakeholders, document user-facing products, and help shape engineering culture and quality.

Lead Sardine’s fraud product portfolio, setting vision and roadmap across device intelligence, behavioral biometrics, and machine learning. Manage product managers and partner with engineering, data science, risk operations, marketing, and sales. Drive fraud detection performance, reduce false positives and customer friction, monitor emerging threats, and scale zero-to-one products into enterprise-ready solutions for payment and fraud-prevention customers.

Serve as a technical advisor to prospective customers, supporting Account Executives with fraud and compliance discovery, customized product demonstrations, RFPs, security reviews, and solution designs. Collaborate with Product and Engineering to improve Sardine’s platform and sales processes. Communicate complex technical and business concepts to global clients and contribute to revenue growth in a remote-first environment.

Own integration program plans for complex enterprise engagements, including milestones, dependencies, timelines, feature requests, governance, RACI structures, communications, and project-health reporting. Serve as the primary client contact, coordinate Engineering, Product, Integrations, and Solutions teams, manage risks and expectations, and provide technical insight to help prioritize and resolve client needs across concurrent engagements.

Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.