Support Engineer (Remote)

Unframe

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in technical support, support engineering, QA, or similar technical role.
  • Strong troubleshooting skills to independently investigate complex technical issues.
  • Good understanding of web applications, APIs, and system behaviors.
  • Hands-on experience with AI tools like ChatGPT, Claude, or Copilot.
  • Excellent English communication skills, both written and spoken.
  • Customer-first mindset with strong ownership and follow-through.
  • Ability to thrive in a fast-paced environment with multiple product contexts.

Responsibilities

  • Investigate and resolve technical issues for enterprise customers, from triage to resolution.
  • Analyze logs and system behavior to identify root causes of issues.
  • Utilize AI tools in the investigation workflow to enhance analysis and documentation.
  • Communicate effectively with customers and internal teams during support processes.
  • Document issues and solutions to build institutional knowledge.
  • Contribute to knowledge bases and playbooks for efficient team response.
  • Share customer feedback and insights with the Product team.

Benefits

  • Opportunity to solve real technical problems while working closely with customers.
  • Exposure to complex enterprise settings and cutting-edge AI products.
  • Fast product cycles offering real ownership and direct impact.
  • Opportunities for quick personal growth and learning in AI deployment.
  • Engagement with some of the world’s biggest companies using Unframe.
Full Job Description
About the role

We're looking for a Support Engineer to join our team and support large global enterprise customers using Unframe's AI-powered solutions.

You'll work closely with Product and Engineering to investigate issues, communicate clearly with customers, and help improve the product based on real-world usage. The expectation is that you'll be able to go deep on technical issues independently, using AI tooling to investigate logs, understand system behavior, and reach conclusions without needing to pull in an engineer every time.

This role is for someone technical, curious, and service-oriented, who wants to be close to customers, product, and AI implementation at enterprise scale.

What you'll do
  • Investigate and resolve technical issues reported by enterprise customers, owning the issue from triage to resolution.
  • Analyze logs, reproduce issues, and dig into system behavior to identify root causes before escalating to Engineering.
  • Use AI tools actively as part of your investigation workflow, to speed up analysis, understand unfamiliar parts of the product, and document findings.
  • Communicate clearly with customers and internal teams throughout the support process.
  • Document issues, solutions, and recurring patterns to build institutional knowledge across a growing set of customer solutions.
  • Contribute to internal knowledge bases and playbooks that help the team handle new solutions faster.
  • Share customer feedback and product insights with the Product team.

What we're looking for
  • 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role.
  • Strong troubleshooting instincts and the ability to investigate complex technical issues independently.
  • Good understanding of web applications, APIs, integrations, logs, and basic system behavior.
  • Hands-on with AI tools (ChatGPT, Claude, Copilot, or similar) and comfortable using them as part of day-to-day technical work.
  • Excellent written and spoken English.
  • Customer-first mindset with strong ownership and follow-through.
  • Ability to work in a fast-paced environment with a wide variety of products and customer contexts.
Why join us?

This role is a great fit for someone who enjoys solving real technical problems while working closely with customers, product, and engineering teams. You'll be exposed to complex enterprise environments, cutting-edge AI products, and fast product cycles with real ownership and direct impact from day one. It's an opportunity to grow quickly, learn how large-scale AI systems are deployed in the real world, and help shape the experience of some of the world's biggest companies using Unframe.

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