Customer Support Analyst, AI ML Application Support

Description

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.

At Workday, we bring technical rigor, customer empathy, and a spirit of fun to enterprise software. Our support team underpins operational excellence across Workday's digital experience, AI/ML platform, and Agent Factory initiative. Workday’s Agent Factory is our internal engine that builds, trains, and deploys autonomous AI agents to execute complex HR and Finance workflows, including expense processing, hiring, and workforce scheduling. We partner with core engineering to eliminate bottlenecks, maintain high platform availability, and ensure system reliability for our global customer base.

About the Role

We are seeking a customer-focused Support Analyst to drive incident resolution, root-cause analysis (RCA), and operational optimization across Workday’s enterprise platform and autonomous AI agent workflows. In this high-visibility role, you will analyze system metrics, investigate cloud-hosted ML service pipelines, evaluate LLM orchestration layers, and manage critical customer escalations within strict SLAs. You will also partner directly with engineering and data science teams to inform feature iteration and product optimizations. A key part of this role involves evaluating AI quality: reviewing chat histories and AI responses to spot mistakes, figure out why they happened, and turn those insights into simple improvements that make the AI clearer, smarter, and more reliable.

Responsibilities

• Workday & Functional Domain Expertise: Apply operational knowledge of Workday applications and functional workflows across HR, Recruiting and related enterprise modules to validate AI logic and evaluate domain-specific system behavior.
• AI Concepts - Review AI chat logs and execution outputs to catch incorrect answers, hallucinations, or misunderstandings, turning findings into prompt and system logic improvements.
• Technical Troubleshooting - Investigate software bugs and system performance bottlenecks using dashboards and monitoring tools to isolate underlying issues rather than applying quick fixes.
• Technical Acumen - Use database queries (SQL), system logs, and basic diagnostic scripts to verify data integrity, check API payloads, and troubleshoot cloud workflows.
• Customer Advocacy - Manage incoming request queues, meet strict SLA commitments, and prioritize high-impact operational disruptions over routine tasks. Acting as a clear, reassuring point of contact for customer leadership during urgent issues, explaining technical problems and solutions in plain language.
• Incident & Queue Management: Triage high-severity (P1) support queues, enforce SLAs, and prioritize critical outages over routine inquiries. Participate in weekend on-call rotations for continuous coverage.

Requirements

• Basic Qualifications
• Experience: 3+ years in technical support engineering, platform operations, or escalation management for enterprise SaaS platforms.
• Public Cloud Expertise: Hands-on experience troubleshooting, monitoring, and debugging services hosted on public cloud platforms (AWS, GCP, or Azure).
• Core Competencies: Strong queue triage, time management, and de-escalation skills with the ability to communicate technical concepts to both technical and non-technical audiences.
• Degree/Background: Bachelor’s degree in Business Administration, Finance, Human Resources, Management Information Systems (MIS), Data Analytics, Computer Science, Engineering, or a related field (or equivalent practical experience in enterprise software support or functional administration.)
• Other Qualifications
• AI & LLM Evaluation: Practical understanding of Large Language Models (LLMs), prompt/tool-calling pipelines, and hands-on experience reviewing AI conversation logs, traces, or model outputs.
• On-Call Availability: Ability to work weekend on-call shifts as part of a rotated support schedule.
• Workday Pay Transparency Statement (For EU Locations Only)
• Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here .
• Primary Location Base Pay Range: zł148,800 PLN - zł223,200 PLN Poland
• Our Approach to Flexible Work
• With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
• Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
• Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
• Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
• Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
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