What are the responsibilities and job description for the AI Solutions Engineer position at nanonets?
Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
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We are looking for a AI Solutions Engineer to work closely with our sales team and assist them in selling this technical product to other companies. A big part of the role will be to understand Nanonets’ product really well, understand customer requirements/goals and build machine learning models on the Nanonets platform to demo capabilities to customers on their own data. This would be instrumental in helping close sales faster.
If you are interested in AI/ML space, good with communication, enjoy tasks with quick wins and love solving a diverse set of problems, this role would be a good fit for you.
Responsibilities:
- Accompanying salespeople on client calls to answer technical questions, understand their current processes and goals with Nanonets, and suggest improvements.
- Building solutions/demos based on their requirements using Nanonets product
- Write code to solve user requirements that the product doesn’t support completely
- Solving challenges potential customers might be facing with the product
- Researching about customers current tools/stack and building technical architecture for end solution we are proposing that will solve their problem
About the interview
Screening Call - 1 hour call
This is a screening call to learn more about the role and see if it's a good fit. We will also conduct a live Python coding round.
Sales screen - 1 hour
This round is to assess your communication skills and fit to work in a sales engineering role. This round will be taken by our CTO & Co-Founder. You will need to have an understanding of Nanonets in some details for this round.
F2F Meeting - meet our co-founders in our SF Bay Area office as a final round of conversation
Salary $90-140k annual base plus incentive based bonus
Hybrid, based in Palo Alto, CA - we have occasional travel along with in-office days
Salary : $90,000 - $140,000