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

Leads a team of 13–15 Fraud Associates responsible for protecting cardholders from fraudulent activity. Oversees coaching, performance management, scheduling, escalations, staffing, and career development. Uses operational data and dashboards to improve accuracy and efficiency, handles complex fraud cases, translates policy updates into team guidance, and helps build scalable fraud operations processes and culture.

Provide technical support, training, troubleshooting, and customer assistance through ticket, phone, and chat channels. Build and maintain customer documentation, tutorials, and training materials. Advocate for customers by gathering feedback, escalating issues, identifying trends, and collaborating cross-functionally. Help establish scalable support processes, monitor support metrics, and improve customer satisfaction, retention, and software adoption.

Own the company-wide IT function for approximately 350 employees, including identity, device management, SaaS administration, onboarding and offboarding, support, security operations, vendor and budget management, AI platform governance, automation, and SOC 2 controls. Maintain Okta, Google Workspace, Slack, Mac MDM, passwordless authentication, HRIS-driven lifecycle automation, and self-service IT systems while improving efficiency and documentation.

Designs and owns complex Salesforce solutions for enterprise clients, from requirements analysis through implementation. Leads solution architecture, integration and data migration strategy, build-versus-buy recommendations, design documentation, SOWs, and implementation planning. Partners with client stakeholders and technical teams, facilitates strategic discussions, presents solutions, drives organizational transformation, and coordinates multiple project workstreams to deliver customer value and technology adoption.

The Senior Account Executive will manage high-volume SaaS sales, build relationships with enterprise clients, and exceed sales targets in a fast-paced environment.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Design, deliver, and maintain onboarding and compliance training for attorneys and staff. Create training materials, coordinate logistics, manage learning repositories, collect feedback, and support knowledge-management and SOP documentation.

Design, validate, and ship production hardware platforms for edge AI systems. Lead silicon and component selection, system integration, security (secure boot, roots of trust), validation, certification, procurement, and supplier management to optimize reliability, performance, manufacturability, and total cost across fleet deployments.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).