Forward Deployed Engineer, AI Products

Workday, Inc. (old); United States; Sur place; USD 120 000 - 160 000; Plein temps

Résumé du poste

Workday is seeking a Forward Deployed Engineer to work directly with early customers to deploy and optimize AI products and agents.

You will partner with product and engineering teams as an extension of internal managers, running EA deployments end-to-end and ensuring customer success with clear communication.

This hands-on role demands problem-solving, ownership, and the ability to transform field feedback into concrete improvements while helping customers scale the solutions.

Qualifications

• 5+ years in enterprise software consulting or solutions engineering.
• Experience implementing complex enterprise systems.
• Strong communication and client-facing skills.
• Willingness to travel up to 20%.

Responsabilités

• Support customer discovery to understand goals and requirements.
• Serve as technical contact for design partners and EA customers.
• Execute EA deployments end-to-end: implement, configure, and troubleshoot solutions.
• Analyze tenant data, configurations, and workflows to evaluate agent performance.
• Triage issues, distinguishing between bugs, configuration errors, and product gaps.
• Maintain clear status updates and track deployment risks and next steps.
• Translate customer feedback into detailed bug reports for core engineering.
• Assist in evaluating pre-GA stage gates and graduation metrics.
• Document deployment playbooks and troubleshooting guides.
• Collaborate with program managers and Workday Services leads.
• Support early GA releases until product graduation criteria are achieved.

Connaissances

Tech consulting

Solutions engineering

Implementation

Product management

Customer support

Outils

Workday

Description du poste

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About the Team

You'll join the AI Products team, where we build Workday's AI agents from the ground up. Our mission is to bring these agents to life inside real customer environments - testing them against real data, real workflows, and real use cases. We're early in the agent lifecycle, which means the work here is hands-on, fast-moving, and genuinely entrepreneurial: you'll often help write the playbook for how Workday deploys a new agent, rather than follow one that already exists. If you want to be close to the product at the exact moment it's taking shape, and to see your fieldwork directly change the product, this is the team to build inside.

About the Role

As a Forward Deployed Engineer, you'll work directly with some of Workday's most important early customers to deploy, configure, and improve our AI products and agents. You'll work alongside our product and engineering teams as an extension of our internal product managers, playing a central role in agent Early Access (EA) programs and running the customer deployments inside them. Your mission is to make the product better by putting it to work in a live customer environment. A successful deployment is both a win for the customer and proof that the product is improving, so making early customers successful matters just as much as hardening the agent itself. You'll often be the first person at Workday to run a deployment of a given agent, so good judgment, clear communication, ownership, and organization will matter as much as technical curiosity. Every deployment will surface something the product wasn't built for yet, so creative problem-solving and a "yes, and" mindset are core to this role: instead of telling a customer that something isn't possible, you'll find a way to solve their use case with what exists today, bring them along on what's coming next, and turn the gap into clear feedback for product and engineering.

In this role, you will:

• Support customer discovery to understand goals and functional requirements for AI agent deployments
• Serve as a day-to-day technical contact for design partners and Early Access (EA) customers, maintaining clear communication and setting expectations
• Execute EA deployments end-to-end: implement, configure, and troubleshoot solutions based on ongoing customer feedback
• Analyze customer tenant data, configurations, and workflows to evaluate agent performance and behavior
• Triage issues effectively, distinguishing between bugs, configuration errors, and product gaps, and elevate to appropriate engineering teams
• Maintain clear status updates, tracking deployment risks, open technical issues, and next steps for internal and external stakeholders
• Translate customer feedback and field findings into detailed problem statements and actionable bug reports for core engineering
• Assist in evaluating pre-GA stage gates and graduation metrics to ensure product readiness
• Document deployment playbooks, repeatable configuration patterns, and troubleshooting guides to support scaling efforts
• Collaborate closely with program managers and Workday Services leads throughout customer implementations
• Support early General Availability (GA) releases until product graduation criteria are achieved

About You

Basic Qualifications

• 5+ years of experience in technical consulting, solutions engineering, implementation, technical product management, or customer support within enterprise software environments
• Willingness and ability to travel up to 20% to customer sites as needed

Other Qualifications

• Proven ability to manage technical initiatives in fast-paced or ambiguous environments with minimal direction
• Experience managing customer technical relationships, setting expectations, and resolving technical challenges collaboratively
• Working knowledge of Workday, including business processes, sec