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

Designs, develops, and deploys custom AI agents and Workday Extend applications for customers. Leads discovery, requirements gathering, agent objective definition, guardrail design, technical architecture, integration, testing, and production deployment. Uses Workday Build, MCP-compatible tools, web services, and authentication technologies to create governed, maintainable solutions. Provides technical leadership, explains complex concepts to nontechnical stakeholders, manages multiple customer projects, and supports full software implementation lifecycles.

Build and operate a cloud data platform that ingests, computes, curates, and serves datasets for Workday applications and AI/ML workflows. Develop scalable service endpoints, deploy production services with CI/CD, Docker, Kubernetes and Terraform, and maintain monitoring, logging, performance, availability, and on-call responsibilities.

Own services strategy and quota-bearing services sales for enterprise Financial Services accounts. Lead discovery, scoping, implementation roadmap design, effort and cost estimation, proposals, statements of work, deal negotiation, and deployment risk coordination. Partner with account teams, pre-sales, implementation partners, Global Services, and Customer Experience to support subscription sales, services adoption, successful implementations, and long-term customer value.

Build and maintain scalable full-stack search services using React, Kotlin, Elasticsearch, and related technologies. Design high-quality features emphasizing performance, security, scalability, monitoring, and reliability. Support production services and customers, improve development pipelines, troubleshoot issues, collaborate cross-functionally, and mentor engineers. The role requires enterprise software development, front-end experience, deployment and infrastructure skills, and technical leadership in a distributed Scrum environment.

Own Workday’s Customer Zero AI product strategy by identifying internal enterprise problems, designing and delivering AI-powered solutions, translating business needs into product requirements, and partnering with engineering, UX, and stakeholders. Define success metrics, evaluate adoption and business impact, align executives on roadmaps and trade-offs, and turn internal implementation lessons into customer-facing best practices. The role requires extensive product management experience, AI/ML product expertise, technical LLM knowledge, and end-to-end delivery leadership.

Lead architecture, development, and operations of security response tooling and environments (SOAR, SIEM, DFIR, DLP, Agentic AI). Drive incident response, threat hunting, security automation, and forensics, mentor staff, and evolve cloud-native response platforms to enable automated, precise cyber defense.

Leads complex presales opportunities by architecting Workday solution strategies, mapping systems and integrations, advising sales teams, and demonstrating differentiated technology. Acts as a trusted advisor to executives and customers, translating business needs into enterprise SaaS, data, cloud, security, reporting, integration, and AI solutions. Collaborates with services, value management, product, marketing, and customer success teams. Travel may reach 50% of the time.

Lead design and delivery of production-grade agentic AI systems: architect LLM integration, orchestration, and routing; ensure reliability, low latency, cost efficiency, and Responsible AI guardrails; translate AI capabilities into enterprise product value and mentor cross-functional teams.

Owns technical product marketing for Workday’s developer platform, creating credible demos, blogs, solution briefs, API narratives, documentation direction, launch assets, and keynote messaging. Translates complex platform and AI capabilities into developer-focused narratives, partners with Developer Relations, Product Management, Engineering, and Marketing, supports go-to-market strategy, and advises leadership on technical positioning and developer experience.

Leads, coaches, and mentors a regional enterprise sales team pursuing new business and complex SaaS and ERP sales cycles. Orchestrates pre-sales, marketing, bid management, value management, inside sales, and support teams; develops account strategies; positions cloud solutions against legacy ERP systems; cultivates partner relationships; and manages forecasting, business modeling, revenue attainment, and sales performance.