Merge

Merge

Technical Support Engineer

Berlin, DE

Sponsorship not specifiedDetected 110 days ago
LLMsAgentic AICustomer SupportCommunicationProblem Solving

About the role

  • Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies.
  • Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources-allowing them to focus on their core product.
  • We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.

Responsibilities

  • Collaborate with other teams, including engineering and platform, to identify and resolve customer issues
  • Create and maintain help center guides and documentation
  • Create the foundation for a successful and rapidly growing support engineering team!
  • 2+ years in support engineering, solutions engineering, sales engineering, or software engineering

Requirements

  • The ideal candidate will have a strong technical background with experience with APIs, excellent problem-solving skills, and excellent communication and customer service skills.

Nice to have

  • Strong verbal and written communication skills
  • Strong problem-solving skills
  • Strong work ethic, goal-oriented, and great attention to detail
  • Prior startup experience is a plus

Benefits

  • 25 days PTO + 10 public holidays
  • 100% covered health, vision, and dental insurance
  • $200 one-time home office stipend

Company info

  • Provide technical support to customers via online chat, email and Slack
  • Troubleshoot technical issues and provide solutions to customers in a timely manner
  • Assist with the integration of Merge into our customers' product

Equal opportunity

  • Merge is an equal opportunity employer, and we value diversity at our company.

This listing is sourced directly from Merge's careers page and normalized into a canonical job model.