Jarvis ML’s mission is to be the most accessible and easy to use end-to-end machine learning platform. As a fully managed MLaaS solution, Jarvis ML enables companies to deploy a revenue generating intelligence engine to their businesses and products within minutes. Jarvis ML was founded in 2021 by Rakesh Yadav, who led the Machine Learning Operations platform development for Google Ads and Payments. Jarvis ML's team has more than 50+ years of combined machine learning experience and is funded by Dell Technologies Capital, SHAKTI and more than a dozen veteran Silicon Valley technologists and business leaders. About the Solutions Engineer Role We're looking for a qualified Solutions Engineer to oversee and address our customers’ technical needs. You will provide accurate, professional service before and after the point of sale, ensuring customer satisfaction. As a Solutions Engineer, you should be a tech-savvy professional, able to explain technical details and requirements to a non-technical audience. You should also be results-driven and aspire to reach clear goals. Ultimately, you'll be tasked with providing technical, product, and business knowledge to support the sales process and strengthen customer relationships. Solutions Engineer Responsibilities • Provide technical support for customers to support pre-sales and post-sales processes • Address all product-related queries on time • Train customers to use products successfully • Give developers with clients’ feedback to help identify potential new features or products • Report on product performance • Identify solutions to reduce support costs • Analyze customers’ needs and recommend upgrades or additional features to meet their requirements • Communicate with the sales department to win new business and increase sales • Build best practices • Keep track of sales performance metrics Solutions Engineer Requirements • 3+ years work experience as a Technical account manager and/or Solutions Engineer for a enterprise-grade SaaS product - bonus if it's in the eCommerce space • Solid technical background with hands-on expertise in digital technologies • Familiarity with software and front-end development • The ability to understand customers’ needs and suggest timely solutions • Outstanding verbal and written communication skills • Strong analytical and problem-solving skills • BSc degree in Computer Science or relevant field