Support Engineer (Remote)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 7d ago
The date the source published, not the day we noticed it (2026-09-07). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2163 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 7d ago · last seen 1h ago
The listing
About Unframe
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
Backed by Bessemer, Craft, and TLV Partners with $100M in total funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.
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.