Founding Lead Support Engineer
unframe has an opening for a Founding Lead Support Engineer in Berlin, Berlin, Germany. It is listed as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
unframe has an opening for a Founding Lead Support Engineer in Berlin, Berlin, Germany. It is listed as a full-time, senior position.
Reading the advert, the employer asks for 4+ years of experience and English language skills.
Skills and tools named in the text include SQL, REST, B2B, SaaS, SRE, Grafana and QA.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Germany for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Oct 4, 2026; the apply link was last checked on Oct 30, 2026.
- Employer
- unframe
- Location
- Berlin, Berlin, Germany
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Experience asked
- 4+ years
- Languages asked
- English
- Found
- Oct 4, 2026 on Arbeitnow
- Employer text
- 557 words, about 3 min to read
- Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 4+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (SQL, REST, B2B and SaaS) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
- Read the employer’s full text below (about 3 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Berlin (ICSC post adjustment 40.2), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- EU Blue Card: Recognised degree and a job offer above the salary threshold
- Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
- Opportunity Card (Chancenkarte): Points-based job search for up to one year
Official routes: Make it in Germany (Federal Government portal)
Answered at our last check on Oct 30, 2026.
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01About 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 Series B funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.
02About the role
We are looking for a Founding Lead Support Engineer to establish and lead our enterprise support function while supporting large global enterprise customers using Unframe's AI-powered solutions.
In this founding role, you will be the bridge between our Fortune 500 customers, Product, and Engineering. You will own the technical post-deployment customer experience, dive deep into system architectures, and build the playbooks, processes, and standards that define customer support at Unframe as we scale.
This role is ideal for an experienced technical leader who thrives in early-stage environments, enjoys deep-dive troubleshooting, and wants to shape both our support operations and our AI-first workflows from the ground up.
03What you'll do
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Define and build Unframe’s support architecture, SLA frameworks, incident escalation paths, and diagnostic runbooks for our global enterprise coverage.
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Bring technical authority and a consultative presence to live video calls with enterprise bank executives, sponsors, and engineering leads. Uncover workflow pain points, translate requirements, and manage high-stakes account de-escalations with professional poise.
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Independently investigate, reproduce, and resolve complex production incidents across web applications, REST APIs, webhooks, microservices, and databases. Query SQL databases, parse CloudWatch/Datadog/Splunk logs, trace JSON payloads, and inspect source code in GitHub to isolate root causes before involving core engineering.
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Act as an "AI Support Orchestrator," configuring, testing, and deploying autonomous AI tools (Claude Code, Cursor, Copilot, LLM APIs) to analyze logs, automate triage workflows, and build self-service knowledge bases.
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Partner closely with Product and Engineering leadership to turn recurring customer friction and edge cases into actionable product specs, bug fixes, and feature enhancements.
04What we're looking for
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4+ years of hands-on experience in Technical Support Engineering, Solutions Engineering, QA, or SRE within complex enterprise or B2B SaaS environments.
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Demonstrated ability to build processes, set technical standards, and mentor engineering colleagues in a fast-paced startup setting.
05Diagnostic Tech Stack
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Hands-on proficiency writing complex SQL queries to inspect relational and cloud databases.
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Practical experience conducting deep log analysis in CloudWatch, Datadog, Splunk, Grafana, or Loki.
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Solid understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, and browser DevTools.
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Direct working familiarity with enterprise authentication protocols (SSO, SAML 2.0, OAuth 2.0, Okta).
Daily practitioner of generative AI and agentic coding tools (Claude Code, Cursor, ChatGPT, Copilot) for log parsing, code navigation, and workflow automation.
Exceptional verbal and written English communication skills, with proven experience advising enterprise executives on live technical calls.
06Why 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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