Solutions Engineer - Sana

Join Our Team At Workday

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.

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams 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 people - not replaces them. We bring this mission to life through two products.

Sana Agents provide a seamless way to access all your company's apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We're a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we're just getting started.

You will play a pivotal role in bridging the gap between our product development and client-facing teams in either of our two core products:
Sana Agents and Sana Learn. You will partner with some of the world's most forward-thinking organizations to design, validate, and implement solutions that transform how their people work and learn. On the Sana Agents side, you'll help customers operationalize agentic AI for work by connecting systems, designing workflows, and demonstrating how intelligent agents can search, reason, and act across a company's knowledge and tools.

On the Sana Learn side, you'll work with L&D, HR, and business leaders to design modern learning ecosystems: from AI-powered authoring to enterprise-grade learning programs, analytics, and integrations. As Sana Agents' and Sana Learn's footprint expands through an increasing client base and user adoption, your role will likely evolve to include coaching and onboarding additional solution engineers, scaling the solutions you've designed and implemented, and creating and iterating on the playbooks required to make Sana solutions succeed at scale.

• A strong technical background with experience in software engineering, systems engineering, solutions engineering, or a related field.
• Proven experience in a client-facing technical role, preferably within the tech industry.
• Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.
• Strong verbal and written communication skills and can explain technical concepts to both technical and non-technical stakeholders.
• Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.
• A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.
• Ability to turn ambiguity into scalable processes, documentation, and systems

• Backend:
  Type Script, Kotlin, Node.js
• Frontend:
  Type Script, React, Tailwind
• Databases:
  Postgres, Redis
• Cloud infra: GCP/Kubernetes/Terraform