get hired at
Klarent
Agentic, deterministic test automation for web, iOS and Android
- —
- MVCMVAV+4
- Zurich
- AI
Open roles at Klarent
6 positions we're tracking, re-checked daily
- apply ↗
Software Engineer, ML Quality (Zurich)
zurich, switzerlandMid-levelfirst seen today - apply ↗
Software Engineer, Infrastructure & Scaling (Zurich)
zurich, switzerlandMid-levelfirst seen today - apply ↗
Software Engineer, Product Development (Remote)
zurich, switzerlandMid-levelfirst seen today - apply ↗
Senior Account Executive, US (Remote-friendly)
zurich, switzerlandSeniorfirst seen today - apply ↗
Senior Account Executive, UK (Remote-friendly)
zurich, switzerlandSeniorfirst seen today - apply ↗
AI Product Analyst (Remote)
zurich, switzerlandMid-levelfirst seen today
Know when Klarent is hiring before anyone else
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
What Klarent is building
Klarent is an agentic QA platform for web, iOS, and Android. You describe a test in plain language and its agents generate, run, and maintain it. When the UI changes, tests self-heal, and results go to Slack, Teams, or email via CI hooks into GitHub, GitLab, and Jenkins. The design choice that matters is where the LLM sits. Klarent uses the model only to write the test code; the test itself then runs deterministically and repeatably. That avoids the main failure of 'AI testing' products, where a model clicks through the app live and gives you a different answer on every run. You get the authoring speed of an LLM with the reproducibility of a normal test suite, which is the only version a bank's release process will accept. The customer list is heavy on complicated, multi-system flows: Sixt, Swiss media group NZZ, Swiss Marketplace Group, and JD Sports, where Klarent's agents automate e-commerce workflows across systems the retailer said its own teams could not replicate. Native iOS/Android testing launched in August with the rebrand, and the platform has been on Microsoft Marketplace since September.
Why this matters
Mosaic's Chandar Lal summed up the bet: code generation is scaling faster than our ability to test it, so QA becomes the bottleneck. Every team adopting coding agents ships more diffs per engineer, but the verification side of the pipeline has not grown with it. Flaky end-to-end suites were already the most-ignored signal in CI before AI wrote half the code. The determinism angle is what makes this fundable at seed in a crowded category. Regulated buyers (Klarent's stated next market is banks and insurers, and it already cites a tier-1 bank case study) cannot accept a test whose verdict changes between runs. A system where the LLM writes the test once and a normal runner executes it fits audit and change-management processes as they already exist.
Investors: Mosaic Ventures (Chandar Lal), Moonfire Ventures, AngelInvest Ventures, H. Barton Asset Management, Agile Partners, Angels: Jürgen Galler, Harris Barton
Hiring outlook
Seven roles are live on klarent.ai/careers: three engineering (Product Development, Remote; Infrastructure & Scaling, Zurich; ML Quality, Zurich), an AI Product Analyst, senior AEs for both the UK and US, and a GTM intern. The funding announcement explicitly names growing the engineering team and entering the US.
Working at Klarent
Klarent is a AI company based in Zurich, Switzerland. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
Most Klarent jobs are based in Zurich, Switzerland.
How to actually get hired at Klarent
Why applying the normal way doesn't work
Klarent has an ATS but the real pipeline is referrals → sourced → recruiter picks → cold apps. You can still get through, but know where you stand.
Who to contact at Klarent
- Who decides
- the hiring manager
- Best channel
- LinkedIn or direct email
What to show them
Take an open-source web app with a real E2E suite (e.g. a Playwright suite from a popular OSS project). Have an LLM generate tests for 10 flows, run each generated test 20 times, and measure flake rate, assertion strength (does it catch an injected bug?), and survival after a UI refactor. Publish the eval harness.
A cold email that works at Klarent
What Klarent screens for
Mosaic led on one specific idea: the founders' focus on determinism. Pair that with Moonfire and a former Google director (Jürgen Galler) as an angel, and the round reads as a bet on two senior Google engineers building the boring, correct version of AI QA. Hiring is split evenly between Zurich engineering and transatlantic sales, and the US AE seat is a ground-floor role in a market they haven't entered yet. Engineers: the ML Quality role is the core of the product, since it is about whether the generated tests are any good.
Don't send a generic CV to Klarent. Mirror the job posting's language to get past automated screening.
Don't make these mistakes
Asheem spent 12 years leading engineering on Google Shopping and Maps; Momchil spent nearly eight years as a Staff engineer on information retrieval. Both have lived with Google-scale test infrastructure, so 'testing is important and AI can help' is noise. Don't pitch 'LLM agents that click through your app' either; that's the non-deterministic approach they built Klarent to avoid. Talk about reproducibility, flake rates, and why a verdict has to be the same twice.
Mistakes that kill Klarent applications
At people, a copy-paste CV is immediately obvious. It's an instant no.
Lead with their problem, not your ambition. Klarent is focused on Mosaic's Chandar Lal summed up the bet: code generation is scaling faster than our ability to test it, so QA becomes the bottleneck — show you understand that.
Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.
Applying to Klarent? Get the contact, not the form.
The Klarent interview process
We don't yet have verified candidate reports for Klarent. What follows is the typical process for a -person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Recruiter Screen
Phone or video · 30 min
What it testsBasic qualification and logisticsUsually run byRecruiter or HR - 2
Hiring Manager Interview
Video call · 45 min
What it testsRole fit and experience deep-diveUsually run byHiring manager - 3
Technical/Functional Round
Video call · 60 min
What it testsSkills assessment and problem-solvingUsually run byTeam members - 4
Final Round
In-person or video · 60 min
What it testsCulture fit and cross-functional alignmentUsually run bySenior leadership
Klarent take-home assignment
Klarent includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Klarent interview timeline
At 14 days, Klarent's process is about average than typical for AI (14 days at this size).
Interviewed at Klarent?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Klarent jobs, frequently asked questions
How many jobs does Klarent have open?
Klarent currently has 6 open roles, last verified October 11, 2026.
Does Klarent hire remotely?
Klarent doesn't have remote openings at the moment. All roles are in Zurich, Switzerland.
What roles is Klarent hiring for?
Klarent is hiring across Engineering, Sales, Data. The most recent opening is Software Engineer, ML Quality (Zurich).
How do I apply for a job at Klarent?
Apply directly through the links above, or read our guide on how to actually get hired at Klarent.
Does Klarent respond to cold emails?
We're still collecting cold email data for Klarent.
Who is the hiring manager at Klarent?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Klarent?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the Klarent interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Klarent interview hard?
It concentrates on technical depth and system design rather than abstract puzzles. The stage candidates find hardest is Technical Interview.
Does Klarent give a take-home task?
Yes, Klarent includes a take-home assignment.
How long does Klarent take to get back to you?
Around 14 days across the full process.
What should I prepare for the Klarent interview?
Prepare for technical depth and system design. A -person startup wants proof you can ship, not that you can whiteboard.
Where is Klarent based?
Klarent is headquartered in Zurich, Switzerland.
Get Klarent roles before they're posted
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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