Sana 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 RoleYou 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.
Become a product expert and provide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly, accurately, and completely.
Engage directly with technical stakeholders, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge around Sana products, the ecosystem with which we integrate, generative AI, and enterprise security
Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.
Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.
Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.
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
Help shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.
Competitive salary and compensation package
Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.
Work with talented teammates across 5+ countries, and collaborate with customers globally
Regular team gatherings and events (recently in Italy and South Africa)
