Jobs at Workday

Full-stack developer building developer-facing tools (React frontends and Node.js backends) for App Builder, CLI, and adjacent products. Own features end-to-end, troubleshoot and improve platform health, collaborate with cross-functional teams, support developer documentation/onboarding, and contribute to release planning and engineering best practices.

Lead AI strategy, roadmap, and product management across Business Technology. Build and scale AI capabilities, mature product management practices, mentor teams, ensure ethical AI, measure ROI, and manage vendors and budgets to deliver business impact.

Design, implement, and productionize ML features and services using LLMs, RAG, and information-retrieval methods. Build scalable pipelines, evaluate and observe models in production, deploy APIs/services with Docker/Kubernetes, and lead technical work for ML solutions across HR and Finance product domains.

Build and operate full‑stack features for an AI-driven contract management platform. Collaborate with product, data science, and design; own services from development to production; mentor teammates; apply DevOps, CI/CD, containerization, and distributed systems best practices to scale AI capabilities.

Lead vision, strategy, and roadmap for Contract Intelligence and analytics. Partner with engineering, data science, and design to deliver generative and predictive AI products, define requirements and monetization, and drive market analysis and customer-aligned product launches for enterprise contract workflows.

Lead design and delivery of high-throughput, low-latency APIs and backend services. Define API standards (REST, GraphQL, OpenAPI), drive performance, observability, scalability, and resiliency. Coach engineers, participate in design reviews and incident response, and build frameworks to simplify API development for product teams.

Set architectural direction for ITSM/ESM, DevOps, and Platform AI; design scalable, secure ServiceNow and cloud-native platform solutions; embed LLM/AI automations; define DevSecOps and SDLC standards; lead design reviews, mentor engineers, and guide cross-functional technology decisions.

Serve as primary technical liaison for Workday integrations across pre-sales, sales, implementation, and post-sale. Solve client-specific integration challenges, enable sales and engineering processes, create documentation/whitepapers, and translate client business needs into technical and operational requirements.

Partner with business unit leaders to lead FP&A: planning, forecasting, reporting, KPI analysis, financial modeling, GTM support, and process improvement. Provide strategic financial guidance, translate complex data into executive insights, and build scalable finance processes in a fast-changing, ambiguous environment.

Design and architect Workday Finance solutions (Contract to Cash, Professional Services, Revenue Management) for global operations. Lead implementations, configure modules and integrations, gather requirements, provide technical guidance, resolve system issues, partner with platform teams, and shape the solutions roadmap.

Design, build, and operate scalable observability backend services and APIs for logging, metrics, tracing, diagnostics, and analytics. Drive automation, testing, documentation, and platform reliability; mentor engineers and participate in architecture and tooling decisions balancing cost, cardinality, and operational overhead.

Lead developer enablement for Workday's developer platform with emphasis on AI and agentic solutions. Build samples, demos, and hands-on content; support Early Adopter programs; enable Forward Deployed Engineers and customer-facing teams; present at conferences and run hackathons; curate product feedback and champion responsible AI usage.

Drive net-new revenue by targeting and closing large enterprise accounts. Develop account and territory strategies, coordinate with pre-sales, sell Workday cloud ERP/HCM/financial solutions, negotiate with C-suite executives, manage long deal cycles, and maintain accurate pipeline and forecast data.

Design and build core ML systems for AI agents, managing the lifecycle from problem framing to deployment, ensuring solutions are scalable and enterprise-ready.

Lead outbound GTM, positioning, messaging, and adoption for Workday Accounting Center and Decision Intelligence for Finance. Drive AI agent launches, packaging/pricing transitions, campaigns, sales enablement, ISV partner GTM, market research, and adoption programs to accelerate pipeline, improve win rates, and protect net retention.

Lead hands-on cloud migration work for acquired services onto Workday's CP2 platform: inventory services, produce per-service migration plans, refactor IaC and CI/CD, implement automation, re-instrument observability, and drive platform feature requests and repeatable migration playbooks while coordinating across teams and architecture review boards.

Lead and operationalize global tax planning and M&A tax workstreams, perform advanced US international and cross-border tax modeling, monitor global tax developments, drive AI and automation in tax workflows, partner cross-functionally on tax provisions and compliance, and manage a distributed team to align tax strategy with commercial and financial objectives.

Own and operate Workday's Evisort platform for Source-to-Pay: manage daily operational support across environments, define roadmap and architecture, translate business requirements into system configurations, optimize processes for scalability and efficiency, collaborate cross-functionally on implementations, and document architecture and best practices.

Architect and implement high-throughput distributed platform services that power an Apache Iceberg zero-copy data lake. Expose transactional application data as optimized Iceberg tables, ensuring consistency, metadata management, schema evolution, multi-cloud accessibility, and performance for internal analytics and external consumers.

As a Principal AI Researcher, you will lead advanced AI research in agentic systems and LLMs, shaping research direction, collaborating with engineering teams, and publishing in top-tier venues while fostering a culture of scientific rigor.