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Customer Success Engineer

Years of Experience2+ years of experience
Remote🌴Remote allowed
First listedIn the last 4 months

Job Description

Job Summary: Ai Squared is currently looking for a Customer Success Engineer to join their growing team. The Customer Success Engineer is a strategic technical product expert in charge of executing and implementing solutions that drive customer satisfaction. This role optimizes a positive customer experience across the entire customer lifecycle to ensure that maximum ROI is generated

What You’ll Do:

· Provide technical expertise by deciphering customer needs and getting things done through a team to assure customer satisfaction

· Assist customers with customizing and implementing platforms to create value, leverage, and automate processes.

· Train clients, respond to product questions, resolve issues, and help level up client understanding so they can work independently.

· Provide technical services including writing custom scripts and troubleshooting.

· Execute and collaborate with various teams to ensure that problems are resolved effectively and efficiently.

· Record, track progress, and escalate application issues.

· Assist with various application testing activities and internal projects.

· Perform other duties as assigned.


  • 2+ years of experience with JavaScript, HTML and CSS
  • Bachelor’s degree or equivalent years of experience.
  • Technical field experience leading projects and teams.
  • System administration and troubleshooting experience.
  • Familiarity with different products, processes, and systems.
  • Prior experience in customer-facing roles.
  • Experience training staff and customers on products and services.

Who We Are? https://squared.ai/

Accelerating the path of Machine Learning capabilities into the hands of the end user is a massive bottleneck preventing ML's full value being realized. As data scientists ourselves, we're frustrated by the time and resources involved in integrating ML into browser-based workflows. Our model integration framework solves this problem by eliminating the need for a bespoke model endpoint – just drag and drop a model file into our integration framework and visualize your model's inferences instantly!


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