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
Sana (owned by Workday) is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when humans can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments humans. If that’s a mission that excites you, you’re in the right place.
About the Role
You'll design hybrid retrieval pipelines, ranking algorithms, and search APIs that enable agents to reason and act on the right information. Strong expertise in search engines, vector databases, embedding models and ranking algorithms is essential for success in this role. Search is rapidly transforming in the age of agents and you'll be at the forefront.
- Scale search infrastructure to billions of documents across multi-tenant environments
- Design hybrid retrieval combining semantic vector search with traditional IR techniques
- Build ranking systems that learn from user behavior to improve relevance
- Optimize the full search stack—query understanding, indexing, and distributed retrieval
- Establish observability frameworks to measure and improve search quality
- Shape the future of knowledge discovery with product and design teams
About You
Basic Qualification
- 8+ years experience in software development engineering, architecting, building, and scaling robust and efficient software systems.
- 4+ years experience in the following programming languages and technologies: TypeScript, React, Tailwind, TypeScript, Node.js
- Experience with Postgres, Redis
- Experience with GCP/Kubernetes/Terraform
Other Qualifications
- Search scales to enterprise volumes with sub-second latency and uptime
- Retrieval applies proven IR techniques and cutting-edge agentic search
- Quality metrics and regression detection catch issues before they impact users
- Balance hands-on implementation with system design and mentorship
- Performance bottlenecks are solved proactively across the stack
- Agents consistently find and use the right context to serve users