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

Own a defined area of MeridianLink Consumer's lending origination platform, leading discovery, writing PRDs and user stories, driving agile delivery, defining KPIs, and collaborating with engineering, UX, sales, and compliance to deliver API-first, data-driven improvements and incorporate modern capabilities like AI/ML.

Design, implement, and maintain AI platform components (model serving, RAG, prompt management, evaluation). Build APIs, observability, and integration patterns; collaborate with product teams, mentor junior engineers, and enforce compliance and data-handling standards for regulated financial environments.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

The Senior HR Business Partner manages the full employee lifecycle, ensuring compliance with processes and policies. Responsibilities include employee relations, onboarding, project implementation, and collaborating with management to address HR issues.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Lead documentation strategy and team for a SaaS lending platform: design content taxonomy, manage authoring tools and publishing workflows, mentor writers, author complex admin/user guides, align documentation with product releases, and prioritize improvements based on user feedback and support data.

Design intuitive, scalable B2B and B2B2C financial product experiences across the full design lifecycle. Create responsive prototypes and design-system components in Figma, collaborate with Product and Engineering, run usability testing, apply AI-assisted design tools, and ensure solutions meet business, technical, and regulatory constraints.

As a Product Manager, you'll manage the product roadmap and Go-To-Market strategies, maximize team output, analyze data for opportunities, and communicate customer needs across departments.

Build and maintain federated identity and authorization platform services for a multi-tenant SaaS environment. Implement integrations (OAuth/OIDC/SAML/JWT), design observable, fault-tolerant backend services in .NET or Python, use AI-assisted development tools, write tests and observability, participate in on-call and mentoring, and produce documentation and tooling to enable product team integrations.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.