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 RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.
It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.
As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.
What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.
Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.
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, 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 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.
Help shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.
Competitive salary complemented with a transparent and highly competitive options program.
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)
