Job Description

Nanonets is a SaaS product that automates manual processes for businesses. We use state-of-the-art machine learning algorithms to enable this hyper-automation. We are looking for a Sales 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 Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... LinkedIn Profile How many years of hands-on experience do you have with Python scripting? * No Experience 0 to 1 year 1 to 3 years 3 to 5 years 5+ years Have worked with API integrations? * Select... What is your expected base compensation ? * Are you already in the Bay Area or planning a move to the Bay area? * #J-18808-Ljbffr Nanonets

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