WhyBrilliant GmbH
Product Engineer (m/f/d)
Berlin, Germany, DEVor OrtUnbefristetVollzeit75.000 € – 110.000 € / Jahr
Veröffentlicht am 20. Aug. 2026
WhyBrilliant is sourcing applicants for this role on behalf of an agile, Berlin-based AI startup transforming enterprise IT workflows.
The company's identity may stay confidential until first contact.
Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.
The Role
Job Title: Product Engineer (m/f/d)
Location: Berlin, Germany
Why this role matters
At the company, we are turning every business idea into technology impact with AI agents for every tech demand. Across the world's largest companies, IT leaders spend their days manually governing application portfolios with spreadsheets and disconnected tools—resulting in bloated backlogs, redundant software, and uncontrolled spend. The company changes this fundamentally with a system that understands enterprise landscapes bottom-up and reasons at machine scale, already trusted by giants like Siemens Healthineers, REWE, and Grünenthal.
What you'll do
You will own the lifecycle of major features from initial user discovery calls to production deployment and monitoring.
A highly collaborative, fast-moving team of 11 working hybrid in Berlin (Prenzlauer Berg). They make rapid, low-friction decisions at the whiteboard, avoiding long meetings and politics. Small sub-teams of 2 to 3 engineers build and deploy continuously. Social connection is highly valued, with the team regularly sharing lunches and spending time together. Every engineer takes complete operational ownership of their shipped code in production.
The offer
I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support.
And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate.
How does this work?
Nova is an AI agent for job searching and career coaching. She works for you.
Atlas is the AI recruiter working for the company. He recruits from Nova's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives.
We never post fake jobs
This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network.
Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it.
Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free.
This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
The company's identity may stay confidential until first contact.
Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.
The Role
Job Title: Product Engineer (m/f/d)
Location: Berlin, Germany
Why this role matters
At the company, we are turning every business idea into technology impact with AI agents for every tech demand. Across the world's largest companies, IT leaders spend their days manually governing application portfolios with spreadsheets and disconnected tools—resulting in bloated backlogs, redundant software, and uncontrolled spend. The company changes this fundamentally with a system that understands enterprise landscapes bottom-up and reasons at machine scale, already trusted by giants like Siemens Healthineers, REWE, and Grünenthal.
What you'll do
You will own the lifecycle of major features from initial user discovery calls to production deployment and monitoring.
- Design and deploy complex, multi-agent workflows and LLM evaluation harnesses using Python, Kotlin (Spring Boot), and TypeScript (React/Next.js).
- Bridge the gap between engineering and product by sitting on customer calls and running rapid user testing sessions to shape the product roadmap.
- Craft intuitive user interfaces that translate complex AI-driven data structures into clear, actionable dashboards.
- Take full operational responsibility for the health and performance of your shipped code in our production environment.
- Build, test, and benchmark our proprietary AI agents against expert human baselines to ensure enterprise-grade accuracy.
- Built and shipped production software for 3-6 years, preferably in B2B SaaS or high-growth startup environments.
- Possess hands-on experience building agentic systems or complex LLM workflows (including side projects) with a focus on tools and evaluations.
- Develop daily using AI-native coding workflows and tools like Cursor and Claude to ship code faster.
- Maintain strong full-stack capabilities across Kotlin (JVM), TypeScript, and Python.
- Bring a sharp eye for UI/UX design and a deep empathy for the end-user's experience.
- Based in Europe, ready to work hybrid in Berlin, with fluent English (German is a strong plus).
A highly collaborative, fast-moving team of 11 working hybrid in Berlin (Prenzlauer Berg). They make rapid, low-friction decisions at the whiteboard, avoiding long meetings and politics. Small sub-teams of 2 to 3 engineers build and deploy continuously. Social connection is highly valued, with the team regularly sharing lunches and spending time together. Every engineer takes complete operational ownership of their shipped code in production.
The offer
- High-ownership product culture where you deploy continuously in highly agile sub-teams of 2-3 engineers.
- Zero corporate bureaucracy or endless alignment meetings, favoring quick decisions made at the whiteboard.
- Strong social connection with a close-knit team of 11 that values shared lunches and building real relationships.
- True hybrid autonomy with a beautiful, collaborative office space based in Berlin's vibrant Prenzlauer Berg.
- You want a pure specifications-to-code role. You will need to talk to customers, design UI, and actively shape what you build.
- You prefer a fully remote or highly structured corporate environment. We thrive on low-friction, high-trust, hybrid whiteboard sessions.
- You are not comfortable using AI tools. We build GenAI products and use AI tools daily to supercharge our own engineering speed.
I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support.
And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate.
How does this work?
Nova is an AI agent for job searching and career coaching. She works for you.
Atlas is the AI recruiter working for the company. He recruits from Nova's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives.
We never post fake jobs
This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network.
Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it.
Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free.
This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
Rollenübersicht
Jobart
Vollzeit
nova@whybrilliant.com
Erforderliche Kompetenzen
PythonKotlin (Spring Boot)TypeScript (React/Next.js)Designing and deploying multi-agent workflows / agentic systemsBuilding and evaluating LLM evaluation harnessesBenchmarking AI agents against human baselinesFull-stack development (JVM + frontend + backend)UI/UX design and end-user empathyCustomer discovery and rapid user testingProduction deployment, monitoring, and operational ownershipContinuous deployment / CI-CD in small agile teamsUsing AI-native coding tools (e.g., Cursor, Claude)Experience in B2B SaaS or high-growth startup environmentsCross-functional collaboration and communicationFluent English communication
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