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Customer Success Engineer
location icon Location
(Remote) USA
company icon Company
Flowhub
date icon Date
2024-06-25

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At Flowhub, we're about more than technology — we're on a mission to make legal cannabis accessible to everyone. Founded in 2015, Flowhub pioneered the first Metrc API integration to help dispensaries stay compliant. Today over 1,000 dispensaries trust Flowhub's point of sale, inventory management, business intelligence, and mobile solutions to process $3B+ cannabis sales annually.



We are currently seeking a skilled Customer Success Engineer to join our team. In this role you’ll support our customers in a number of ways. You’ll ensure that clients are onboarded smoothly by loading their data seamlessly into their new environment. You’ll also work with our Customer Success Managers to help ensure our customers are getting the most out of Flowhub’s platform.

This is a dynamic role critical to the scaling of our organization. If you’re a tinkerer with some Python skills, advanced spreadsheet skills, basic SQL knowledge, and a knack for problem-solving, we’d love to hear from you!




Responsibilities:
  • Clean and upload client data, including customer, product, and inventory information.
  • Support the customer success team by pulling and analyzing product usage and business data
  • Perform database manipulations as needed, such as erasing or updating records.
  • Document workflows and standard operating procedures (SOPs) to support scaling efforts.
  • Collaborate with the implementation and customer success teams to understand client needs and ensure data accuracy.
  • Act as the go-to person for data requests and provide real-time data management solutions.
  • Build out simple task automations to ensure our processes are scalable as we grow.
  • Work with product and engineering to understand new feature releases and how they impact our customer base


  • Requirements:
  • Basic SQL skills to query out data in support of customers and perform basic data updates as needed
  • Python skills (pandas preferred) that will help in performing data cleaning, data manipulation, and simple data analysis tasks, as well as automation of tasks as necessary
  • Advanced spreadsheet skills to visualize and analyze data
  • Strong problem-solving skills and attention to detail.
  • Excellent communication abilities, with empathy and patience.
  • Effective time management and ability to prioritize tasks.
  • Product knowledge and a customer-centric mindset.
  • Ability to work independently and within a team in a fast-paced environment.
  • This role is open to anyone within the United States, except for candidates in CA, with compensation that aligns with your location. Starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is eligible for a competitive benefits package that includes: medical, dental, vision, life & disability insurance, 401(k) retirement plan, paid holidays, unlimited paid time off, and other benefits. EOE

    Salary Range: $75,000 - $100,000

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