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תל־אביב–יפו, מחוז תל אביב, ישראל
Onsite
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
Join the Paradox Product team at Workday to help reimagine recruitment and hiring with the first-of-its-kind conversational recruiting platform! The Paradox AI Assistant streamlines recruiting tasks from end-to-end, including screening, instantly scheduling interviews, and answering common candidate questions. The goal is to provide simple, frictionless chat, mobile, and text message-driven experiences that allow recruiting and hiring teams to spend more time with people and less time with software.About the Role
As an AI Product Manager on the Paradox team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.
You’ll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.
One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. You’ll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.
You will:
Own AI-driven features, including candidate and recruiter-facing experiences.
Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.
Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.
Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.
Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.
Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.
This role is ideal for someone excited to be “in the weeds” with AI systems—understanding how they behave, why they fail, and what to adjust to make them meaningfully better for real users.
About You
Basic Qualifications
4+ years of experience as a Product Manager, or in a highly technical role (e.g., Data Science, ML Engineering) with a clear path toward product.
Proven track record of building AI/ML-powered products.
Strong communication and collaboration skills, with the ability to bridge the gap between technical teams (Engineering, Data Science) to reason about tradeoffs, and non-technical stakeholders (CSM, Product, Business) to align on product vision.
Able to turn ambiguous problems and noisy data into clear decisions and priorities.
Strong understanding and hands-on experience with AI and large language models (LLMs), including RAG architectures and LLM evaluation methodologies.
Preferred Qualifications
Direct experience evaluating model performance: reviewing outputs, labeling data, and using those insights to inform product changes.
Experience with conversational products, AI assistants, or agentic workflows.
Prior experience in HR tech or talent acquisition workflows.
Experience in a fast-paced or 0→1 / early-stage product environment.
Ability to collaborate across time zones and functions, and to advocate for users using data, examples, and clear narratives.
Our Approach to Flexible Work
With Hybrid 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 we require employees to work three days a week in the office and two days at home. 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.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
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