Support Engineer (Remote)

Unframe

$100K — $120K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in technical support, engineering, or QA roles.
  • Strong troubleshooting skills for complex technical issues.
  • Knowledge of web applications, APIs, and system behavior.
  • Experience using AI tools like ChatGPT or Copilot in technical workflows.
  • Excellent written and spoken English communication skills.
  • Customer-first mindset with ownership and follow-through.
  • Adaptability to a fast-paced environment with diverse product contexts.

Responsibilities

  • Investigate and resolve technical issues from triage to resolution.
  • Analyze logs and reproduce issues to identify root causes.
  • Employ AI tools in investigations for efficient analysis.
  • Maintain clear communication with customers and internal teams.
  • Document issues and solutions to enhance organizational knowledge.
  • Contribute to knowledge bases and playbooks for faster problem-solving.
  • Relay customer feedback and product insights to the Product team.

Benefits

  • Opportunity to solve real technical problems close to customers and products.
  • Exposure to complex enterprise environments and cutting-edge AI technologies.
  • Fast product cycles with real ownership and direct impact.
  • Chance to grow quickly in the field of large-scale AI deployment.
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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