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The role involves designing and deploying reporting and analytics solutions for HCM using Workday tools, while mentoring team members and ensuring customer satisfaction.

The role involves leading a team of Sales Development Representatives to generate sales pipeline, collaborate with marketing, and achieve quarterly objectives through strategic leadership and innovative outreach.

Lead a diverse team of 45+ in South Europe, driving AI-centric solution consulting strategy and ensuring exceptional customer engagement across finance, HR, and analytics domains.

The Infrastructure Engineer will build and maintain scalable cloud infrastructure, support engineering teams, and enhance developer experience while focusing on reliability and performance.

The Engagement Manager will lead Workday project teams for deploying Finance, HR, and Procurement solutions, ensuring customer satisfaction and project success. Responsibilities include managing scope, budget, communication, and team effectiveness across various industries.

Lead value-selling engagements with prospects and customers: build business cases, conduct discovery workshops, perform quantitative ROI analysis, craft executive presentations, and advise sales leadership to drive Workday adoption and transformation.

As an Account Executive at Workday, you'll drive customer growth by selling SaaS solutions to new enterprise clients, develop strategies, and maintain accurate projections while ensuring customer satisfaction.

As an Account Executive, you will engage with existing customers to drive upselling and renewals of Workday solutions, leveraging consultative selling skills and strong relationships.

The role involves developing relationships with existing customers to upsell Workday solutions, managing deal cycles, and coordinating internal teams for strategic alignment in a sales environment.

Design and embed Responsible AI evaluation methods, metrics, and pipelines; translate policies into testable requirements; produce stakeholder-facing analyses; collaborate with product, engineering, legal, and privacy teams to scale AI governance and evaluation across ML and LLM systems.