Customer Support Engineer
VercelFull Time
Junior (1 to 2 years)
Candidates should have over 4 years of experience in customer support, customer experience, or support operations, with a background in fintech being preferred but not required. Proficiency in maintaining enterprise-level conversational AI and virtual agent platforms is necessary, along with comfort using data dashboards or support analytics tools. Familiarity with APIs and a basic understanding of system connections are also required. Experience with version control tools like Git or some programming knowledge is a plus.
The AI Support Specialist will ensure the AI Agent resolves customer questions quickly and accurately by reviewing conversations and performance data to identify areas for improvement. They will collaborate with Product, Engineering, and Support teams to implement enhancements and expand AI capabilities. This role involves prioritizing automation opportunities based on data and customer feedback, recommending changes to content, workflows, or integrations, and monitoring AI performance. The specialist will also influence broader customer support strategies based on learnings from AI interactions.
Provides personalized investment strategies and services
Arta Finance provides tailored investment solutions for a variety of clients, including individual investors and institutional entities. The company focuses on creating personalized investment strategies that align with the specific financial and tax needs of its clients. Revenue is generated primarily through management fees for overseeing investment portfolios and transaction fees for executing trades. Arta Finance promotes a client-centric approach, encouraging clients to evaluate investment opportunities based on their own objectives and risk tolerance. While the company offers expert advice, it does not guarantee the success of its strategies, emphasizing the risks involved in investing. Additionally, it advises clients to consult tax professionals to consider tax implications before making investment decisions.