Dash Job - Customer Success Engineer Full Stack - Plotly

Dash Python
1

:mega: Skills: Fullstack expertise and Python proficiency

Company: Plotly

Title: Customer Success Engineer Full Stack

Category: Full Time

Location: Canada (Remote)

Experience: mid level

Application: Link to apply

@OpenToWork

Reporting into our Customer Success department, The Customer Success and Support Engineer will be responsible for helping our enterprise customers implement, optimize, and use our commercial product offerings. This will involve onboarding customers to Dash Enterprise, live debugging over phone and video calls, analyzing log files, creatively satisfying the constraints of highly varied customer environments, and discussing thorny technical issues with our software development engineers.

Duties & Responsibilities

  • Answer customer questions related to product usage
  • Lead customer onboarding sessions (walk new customers through onboarding guide and documentation), workshops and training sessions
  • Help customers build efficient workflow and navigate documentation
  • Solve customer application deployment issues and database connection issues
  • Create sample apps for customer workflows

Requirements

  • Fullstack expertise
  • Python proficiency
  • Technical documentation skills (includes reading and writing)
  • Effective interpersonal communication skills for live customer calls,
  • Critical thinking and problem solving abilities
  • Strong active listening skills to understand customer use case and apply abstract solutions
  • Ability to prioritize and manage workload

Assets

  • Basic Git Knowledge
  • Knowledge of web app development, topics include architecture and relevant languages (HTML, CSS, Javascript)
  • Knowledge or experience with SQL/Database connections, topics include database connection & management best practices (tangentially related)
  • Confident live coding/debugging in front of clients
  • Ability to teach and train others through sessions and workshops
  • Knowledge of/experience with data visualization, data analysis, and/or machine learning

Bonus points if you have experience with

  • Docker
  • Dash (open source) & Plotly