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

Build cybersecurity automation applications, agent scaffolds, evaluation harnesses, schemas, data contracts, and internal UIs. Integrate security tools including SIEM, SOAR, vulnerability scanners, ticketing, and identity platforms. Translate ambiguous partner needs into reliable production systems with testing, observability, runbooks, tracing, and operational readiness. Apply Python, AI/LLM tooling, cloud platforms, and secure software engineering practices to improve detection, response, and threat-intelligence workflows.

Drive Workday’s platform narrative and positioning for CIO and CTO audiences. Translate AI, developer tooling, integrations, and security capabilities into a coherent market story; conduct competitive and analyst research; orchestrate cross-functional go-to-market efforts; and build enablement for executives, field marketing, and sales. Success is measured through platform engagement, market perception, analyst coverage, thought leadership, and field effectiveness.

Design and build full-stack, AI-powered developer platform capabilities. Implement backend JVM/Spring services and frontend React interfaces, integrate LLMs/agentic tooling, own service lifecycle (deployments, incidents, reliability), uphold API governance, write documentation, and collaborate across product and engineering teams.

Own AI agent evaluation frameworks and deployment across Core Financials. Lead benchmark development, customer and ecosystem discovery, API and data-service integrations, cross-agent standards, and scalable self-service product frameworks. Partner with engineering, UX, research, finance leaders, and audit firms to translate requirements into production capabilities. Manage feature delivery, resolve technical dependencies, align stakeholders, communicate results to executives, and support monetization of Workday’s Financials AI portfolio.

Leads complex global customer implementations from post-sale through successful delivery. Builds customer relationships, manages project plans, timelines, communications, risks, dependencies, and deliverables. Coordinates internal teams, platform configurations, integrations, vendors, and customer stakeholders. Supports adoption transitions, mentors team members, documents processes, improves implementation methodology, advocates for customers, and influences product roadmap decisions.

Lead and deliver Workday HCM implementations: gather requirements, configure modules, build prototypes, support testing and data conversion, assist integrations, mentor consultants, and ensure customers adopt Workday solutions.

Lead design and operation of a cloud-native cybersecurity data lakehouse on AWS. Define storage/table formats, partitioning, compute engines (EMR, Athena, Redshift), governance (Lake Formation, IAM), IaC provisioning, cost governance, and capacity planning to support analytics, ML, and security operations.

Lead successful implementations of Workday HCM reporting and analytics by configuring, testing, and delivering reports, dashboards, Prism and composite solutions. Provide demos, enablement, and client-facing consulting; collaborate with technical and senior stakeholders, apply data modeling and SQL skills, and leverage BI tools to drive business value. Travel up to 20% and maintain Workday certifications.

The role involves architecting AI solutions, optimizing ML systems, and deploying advanced retrieval frameworks. Engineers will lead ML lifecycle from research to production, collaborating across teams to build AI-first products.

Architect and co-innovate agentic AI solutions with strategic System Integrators and Frontier AI Model Providers. Lead pilot-to-production prototypes, design secure, production-ready AI agents and integrations across multi-cloud environments, advise CXOs on measurable AI outcomes, ensure compliance and data governance, and feed partner/customer insights back into product roadmaps. Travel up to 40%.