Company Description The Ikigai platform unlocks the power of generative AI for tabular data We enable business users to connect disparate data leverage no-code AI ML and build enterprise-wide AI apps in just a few clicks Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch for data reconciliation aiCast for prediction and aiPlan for scenario planning and optimization Our platform enables eXpert-in-The-Loop XiTL for model reinforcement learning and refinement at scale Rooted in academia Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones Ikigai Academy has already trained over 6000 students from 90 countries on topics like No Code AI and Time Series Forecasting Role Description Ikigai is looking for an AiSuccess Engineer to join our growing team and support our enterprise clients with navigating our industry-leading platform This is the ideal role for someone who enjoys working directly with customers solving technical challenges and working with large datasets - all while learning and applying emerging technologies including AI and machine learning As an AiSuccess Engineer you will not only provide technical support but also engage with clients to ensure their success troubleshoot complex issues and contribute to the continuous improvement of our platform If you are someone who is excited to be at the intersection of customer engagement and technical problem-solving this is a great opportunity to grow in a dynamic fast-paced environment Responsibilities Serve as the first point of contact for enterprise clients providing technical assistance with platform access model functionality data integrations and API connectivity Troubleshoot and resolve technical issues ensuring timely and effective solutions to maintain high client satisfaction and loyalty Analyze large datasets and collaborate with clients to identify and solve data-related challenges that optimize their platform usage Partner with engineering product and other internal teams to escalate and resolve complex issues Stay up-to-date with emerging technologies particularly AI and machine learning to continually expand your knowledge and offer more value to clients Contribute to Ikigai s internal documentation repository by identifying and adding new solutions and troubleshooting steps based on your experiences Proactively identify potential issues before they escalate and develop strategies to improve the client experience continuously Qualifications At least 1-3 years of experience in a technical support or client-facing role preferably with enterprise clients High school diploma required Associate s or Bachelor s degree in a relevant field e g Computer Science Information Technology preferred Solid working knowledge of Python and data analytics along with familiarity with cloud platforms such as AWS and Azure Strong troubleshooting skills with the ability to resolve technical issues quickly and effectively Excellent communication skills both written and verbal Ability to explain complex technical concepts to non-technical clients Ability to learn recent technologies quickly especially in AI and machine learning Familiarity with helpdesk software or ticketing systems like Zendesk is a plus Preferred Skills Knowledge of data transformation e g using python pandas library database management data integration or data visualization is a plus Experience documenting issues creating ticket details and communicating resolutions back to clients within Service Level Agreement timeframes Exposure to AI or machine learning concepts hands-on experience not required Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person s race color sex gender identity or expression age religion national origin ancestry or citizenship ethnicity disability military or protected veteran status genetic information sexual orientation marital or familial status or any other personal characteristic protected under applicable law lhGDaLdzpu