Jobs at Workday

Build and operate scalable data engineering services supporting Workday’s machine learning and agentic initiatives. Responsibilities include data ingestion, governance, discoverability, derivation, and serving using Python, Spark, AWS, Kafka, Terraform, Kubernetes, and Iceberg. The role involves distributed systems development, production deployment, monitoring, testing, performance optimization, security, on-call support, and collaboration with engineering teams.

Drive add-on and renewal sales of Workday solutions within existing medium enterprise customers. Develop customer relationships, manage upselling opportunities, plan strategic accounts, negotiate with C-suite executives, and coordinate with presales, marketing, technical, and sales support teams. The role requires consultative SaaS selling, account strategy development, deal management, and strong communication skills.

Partners with finance and engineering leadership to build cloud cost governance, forecasting, and optimization models across AWS and GCP. Queries and models billions of billing records, deploys agentic AI tools to monitor spend and execute optimization actions, and establishes governance frameworks for autonomous agents. Leads enterprise initiatives with measurable financial impact, mentors analysts, presents to senior leadership, and drives cross-functional alignment.

Drive net-new revenue by developing territory strategies, prioritizing and closing medium-enterprise opportunities, and selling Workday cloud solutions to C-level executives. The role includes account planning, prospecting, negotiating, coordinating with presales and internal teams, communicating Workday’s value proposition, and maintaining accurate pipeline and forecast data.

Lead pricing for one to two product lines, developing pricing, packaging, bundling, and monetization strategies. Analyze deal, customer usage, sales, and feedback data to identify opportunities and improve pricing outcomes. Partner closely with product, marketing, sales, finance, legal, and operations teams while influencing stakeholders across a global matrixed organization.

Leads 2–4 Forward Deployed Engineering pods and manages approximately 10 customer projects per pod. Responsibilities include hiring and coaching engineers, staffing engagements, overseeing deployment lifecycles, troubleshooting integrations, converting customer feedback into product improvements, tracking graduation metrics, and partnering with Product, Engineering, Services, Architects, and Account teams. The role requires technical oversight of software deployments, coding, debugging, APIs, system architecture, and enterprise customer engagements.

Deploy, configure, debug, and optimize AI agents and developer platform integrations in enterprise customer environments. Lead technical discovery, solution architecture, proofs of concept, and workflow integrations while troubleshooting live data and complex configurations. Capture deployment challenges and customer feedback to influence product roadmaps, then convert recurring fixes into standardized platform capabilities. Collaborate with deployment architects, product managers, services leads, and account teams, guiding engagements through six-month deployment milestones. Travel to customer sites up to 20%.

Design, develop, scale, and operate Workday’s high-volume enterprise messaging platform supporting email, SMS, WhatsApp, and push notifications. Build resilient, secure microservices and distributed systems, integrate third-party messaging providers, improve email throughput and deliverability, maintain code quality and testing standards, contribute to technical strategy, participate in design and code reviews, and mentor junior engineers.

Advise enterprise customers on identity governance and access management strategies. Architect solutions across IGA, IAM, CIEM, and PAM; lead workshops, demos, and executive discussions; design cloud identity integrations across AWS, GCP, and Azure; and build custom integrations using APIs, SDKs, Go, and Terraform. Explain identity protocols, troubleshoot workflows, promote zero-trust practices, and provide thought leadership on identity security for human and AI-agent access.

Own outbound product management for Workday Travel and Expense Management. Partner with sales, marketing, services, customers, and product teams to influence roadmap decisions using market, competitor, analytics, and customer insights. Develop customer-facing content, drive feature adoption, present to varied audiences, support analyst relations, and communicate product value throughout the customer lifecycle.

Architects, builds, deploys, and debugs custom AI agents and agentic applications for enterprise customers. Leads technical discovery with executives, translates ambiguous requirements into production solutions, and provides feedback that shapes Workday’s developer platform. Productizes reusable field patterns, collaborates across AI teams, leads technical workstreams, mentors engineers, and supports deployment cycles. The role requires hands-on software development, enterprise integration expertise, customer-facing technical leadership, and up to 20% travel.

Build and operate scalable machine learning infrastructure, pipelines, recommendation engines, and agentic AI capabilities. Responsibilities include distributed data processing, feature engineering, model training and deployment, low-latency inference, LLM observability, feature-store architecture, and production MLOps. The role partners with engineering, product, SRE, data, and compliance teams to deliver highly available ML systems, mentor engineers, and guide technical and governance decisions.

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.

Build, configure, test, debug, and deploy custom AI agents and agentic applications in enterprise environments. Support customer discovery, translate business needs into configurations and integrations, troubleshoot deployments, and document product feedback. Contribute reusable components, sample code, documentation, and reference architectures while owning technical workstreams through deployment milestones. Collaborate with product, engineering, services, and other FDE teams to deliver governed agentic systems.

Build, deploy, configure, and debug custom AI agents and agentic applications in enterprise environments. Lead customer discovery, architecture, integrations, proof-of-concepts, and live-data troubleshooting. Provide feedback to product and engineering teams, convert recurring deployment challenges into scalable platform capabilities, and guide technical workstreams through customer deployment milestones. Collaborate across teams to deliver governed agentic systems while communicating complex technical concepts to enterprise stakeholders.

Designs and maintains Workday Financials demonstration solutions, supports strategic sales opportunities, and showcases product value to customers. Partners with Development, Product Strategy, Professional Services, and Solution Consulting teams to shape messaging, improve products, and influence the roadmap. Maintains demo environments, shares product methodologies, tracks industry trends, and supports commercial and industry-specific demonstrations.

Architects, deploys, configures, and debugs AI agents and integrations in complex enterprise Workday environments. Leads technical discovery with executives, translates business needs into configurations and integration specifications, and advises customers throughout deployment. Converts recurring field issues into scalable product capabilities, influences product roadmaps, leads strategic engagements, and mentors other forward deployed engineers. Requires hands-on coding, debugging, Workday expertise, and up to 20% customer travel.

Own the API platform and data standards roadmap, prioritize customer and business outcomes, translate strategy into requirements, and align engineering, product, and business stakeholders. Guide API design, developer experience, lifecycle governance, versioning, monetization, delivery, adoption, and go-to-market readiness using customer feedback and usage data.

Support the health, automation, and deployment of cloud-native search products. Provision AWS infrastructure with Terraform or CloudFormation, maintain Docker and Kubernetes deployments, support CI/CD pipelines, automate operational processes, monitor systems, triage incidents, participate in on-call rotations, document procedures, and collaborate with application and architecture teams.

Build production-grade conversational and agentic AI experiences that connect agent reasoning to user interfaces. Design scalable workflows, orchestrate agentic logic, and translate complex AI capabilities into intuitive products. Collaborate with AI engineers, software engineers, product managers, and designers while mentoring teammates and raising engineering standards. The role requires extensive software engineering, user-facing product, agentic AI, and technical leadership experience.