Jobs at Workday

Join Workday's Authentication Security team to design scalable authentication systems, ensuring secure access and mentoring developers while fostering a collaborative culture.

Generate inbound business opportunities through strategic calling and prospecting into enterprise companies. Educate prospects about Workday technology, build relationships with senior executives, understand business needs, achieve monthly and quarterly opportunity quotas, and collaborate with sales, marketing, and regional teams. The role requires fluency in English and German, strong communication skills, and an interest in developing a career in technology sales.

Leads Workday’s Content & Tenant Build organization, defining strategy and roadmaps for configuration content creation, storage, orchestration, and migration across customer tenants. Oversees product, engineering, data science, and implementation teams; partners with product, customer experience, field services, and go-to-market organizations; guides platform and API investments; and drives measurable improvements in deployment velocity, adoption, scalability, reliability, security, and cost of ownership.

Build and optimize machine learning models and data pipelines for Workday’s de-identification and anonymization engine. Apply privacy techniques including differential privacy, k-anonymity, l-diversity, and t-closeness; fine-tune NER and pattern-matching models; and operate high-throughput Spark, EMR, and SageMaker pipelines in production. Collaborate with platform, infrastructure, product, legal, and compliance teams to develop scalable ML systems, data governance frameworks, and clear technical recommendations addressing privacy-utility trade-offs.

Provides technical advisory and co-development support to Workday partners building integrations, applications, and agents for the Workday Marketplace. The role defines solution designs, troubleshoots technical challenges, reviews partner-built solutions, manages multiple projects, and communicates partner requirements to Workday product teams. Requires integration architecture, web services, XML, HR and Finance process knowledge, and familiarity with cloud, AI, data architecture, and Workday technologies.

Build and operate production services, APIs, SDKs, and high-throughput pipelines for Workday’s anonymization and de-identification capabilities. The role involves implementing differential privacy and group anonymization techniques, scaling ML systems on AWS, optimizing GPU workloads, and supporting reliable production operations. Responsibilities also include automated testing, CI/CD, architecture documentation, design reviews, cross-functional collaboration with legal and compliance teams, and mentoring engineers.

Designs, builds, deploys, and operates AI-powered systems that automate Workday implementation tasks. Integrates LLM and machine-learning capabilities into production products, develops reliable infrastructure and monitoring, improves performance and cost efficiency, and collaborates with product, data science, implementation, partner, and platform teams. The role also helps establish engineering standards for a growing AI discipline.

Generate new enterprise business opportunities through strategic outbound calling and prospecting. Build relationships with prospective customers and executive sponsors, educate the market on Workday’s technology, position it against legacy solutions, and collaborate with account management, sales, marketing, and operations teams across EMEA.

Define product vision and strategy for Workday’s Deployment Technology portfolio, own roadmaps and prioritization, and drive enterprise adoption. Partner with engineering, design, customers, partners, Professional Services, and enablement teams to deliver AI-enabled deployment experiences. Use customer insights, adoption data, experimentation, and success metrics to guide investments. Influence senior stakeholders, lead cross-functional initiatives, and mentor other Product Managers while advancing capabilities such as AI agents, MCP tools, Skills, automation, and agentic workflows.

Own deployment technology initiatives from discovery through delivery, launch, and iteration. Develop product strategy and roadmaps, translate customer and implementation problems into requirements, and partner with engineering and design on scalable solutions. Engage customers, partners, and implementation teams; measure product outcomes; and explore AI-enabled capabilities such as Skills, MCP tools, automation, and agentic workflows.

Design, build, deploy, operate, and optimize large-scale distributed messaging, streaming, caching, and NoSQL platforms. Develop software modules, client libraries, observability tools, alerts, and automation across Kubernetes, private cloud, AWS, and GCP environments. Support production operations, resiliency, performance tuning, security, compliance, disaster recovery, and on-call activities while leading platform features from conception through maintenance.

Lead Workday’s anonymization capability, owning its technical vision, architecture, roadmap, applied privacy research, and enterprise production platform. Develop and evaluate privacy-preserving ML models using differential privacy, group anonymization, and synthetic data. Establish privacy-utility evaluation standards, lead engineers through design and code reviews, mentor technical teams, collaborate with legal, compliance, executives, customers, and research partners, and represent Workday in privacy research and industry standards.

Design, build, and operate large-scale distributed metrics ingestion and alerting systems. Develop platform services, APIs, and tooling to enable observability, reliability, and agentic engineering across cloud-native production environments while collaborating with SRE and partner teams.

Lead end-to-end implementation and onboarding of HiredScore's AI-powered SaaS platform for global enterprise customers. Manage project governance, planning, stakeholder reporting, scope, quality, timelines, and issue resolution. Translate business requirements into product configurations, create onboarding materials, and coordinate with Product, Data Science, Customer Success, and Support to ensure successful deployment and transition to long-term adoption.

Provides technology consulting to Workday Success Plans customers through configuration guidance, troubleshooting, feature demonstrations, adoption reviews, presentations, and targeted deployments. The role advises customers on Workday HCM and Financial Reporting, Analytics, and Prism Analytics, translates complex concepts into practical solutions, supports feature adoption, and contributes to new customer enablement programs. It also requires maintaining Workday expertise and certifications while managing multiple consulting engagements and deliverables.

Provides customer-facing Workday consulting through configuration guidance, troubleshooting, feature demonstrations, presentations, tenant reviews, optimization packages, and feature deployments. Advises customers on Workday Financials Reporting, helps drive feature adoption, delivers configuration and business requirements reviews, and contributes to new customer enablement programs. Maintains Workday expertise and certifications while managing multiple engagements and communicating complex technical concepts clearly.

Deliver micro-consulting to Workday customers: troubleshoot and configure Workday features, build and maintain Prism Analytics and reporting, present feature demonstrations and webinars, review tenants for adoption opportunities, provide one-on-one accelerators, and help create programs to drive customer feature adoption and deployments.

Deliver post-Go-Live micro-consulting for Workday customers focused on Adaptive Planning and workforce planning. Provide configuration guidance, troubleshooting, data integration support between Adaptive Planning and HCM, build financial models, reports and dashboards, deliver presentations/webinars, perform tenant reviews, and drive feature adoption and deployments.

You will optimize, scale, and manage PostgreSQL infrastructure for a Ruby on Rails application while mentoring teammates and proposing solutions to challenges.

Design, build, and deploy production-scale AI solutions (LLMs, RAG, agents, knowledge graphs) across Workday products. Integrate and optimize models, manage lifecycle, ensure performance, observability, security, and collaborate with product and ML teams to deliver user-focused AI features.