ai engineer (m/f/d)

restaurant growth partner - germany Jobs in Berlin

restaurant growth partner - germany

senior data engineer

senior product engineer

lead data platform engineer german speaker

Saas.group

<div>This role is part of our INFOnline team, one of our exciting brands at saas.group.

INFOnline powers digital audience measurement for the German and Austrian media industry. Our systems process billions of events and deliver the trusted reach and engagement metrics used by publishers, advertisers, agencies, IVW and OEWA.

As part of saas.group, we have been modernizing our business-critical infrastructure and moving towards a fully cloud-native architecture on GCP. The major migration work is complete. Now we are looking for a strong technical owner to run, harden, scale and evolve the new platform.
<h3 class="jobSectionHeader">
Profile Overview</h3>

We're looking for a technically deep, hands-on Lead Data Platform Engineer to take full ownership of INFOnline's central data platform from raw event ingress through processing, aggregation, data modeling and reporting delivery.

You will take ownership of a newly built GCP-native data platform as it moves from completed migration into long-term production operation, optimization and continuous evolution.

This is not a role where you simply follow someone else's roadmap. You will help define how the platform should mature: where we need stronger observability, better data quality controls, clearer ownership boundaries, improved documentation, cost efficiency and more scalable operating models.

This is a hands-on technical leadership role. You will set technical direction, make architecture decisions, establish engineering standards, mentor others and still work close to the code and systems.

On top of that, you will help drive AI-native engineering practices using coding agents, AI-assisted testing, documentation, refactoring and incident analysis to increase engineering speed and quality.
<h3 class="jobSectionHeader">
Your immediate impact in the first 3-6 months will be:</h3>
<ul><li>Audit and map the existing cloud and data platform architecture identify critical risks, dependencies, and improvement opportunities</li>
<li>Take ownership of core platform components from data ingress to reporting, supported by structured knowledge transfer where needed</li>
<li>Establish full internal ownership of the new cloud-native data platform</li>
<li>Improve data quality controls, validation processes and operational safeguards</li>
<li>Build a pragmatic post-migration roadmap focused on stability, scalability, data quality, cost efficiency and business continuity</li>
<li>Strengthen monitoring, alerting, and observability for business-critical data workflows and IVW/OEWA delivery pipelines</li>
<li>Establish engineering standards around documentation, code reviews, testing and AI-native development practices</li>
</ul><h3 class="jobSectionHeader">Your responsibilities</h3>
<ul><li>Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations</li>
<li>Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic</li>
<li>Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices</li>
<li>Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity</li>
<li>Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions</li>
<li>Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use</li>
<li>Work with external specialists where useful and establish sustainable internal ownership of all critical platform components</li>
</ul><h3 class="jobSectionHeader">What You bring to the table</h3>
<ul><li>5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments</li>
<li>Solid Go (Golang) proficiency is required. Our core backend systems, including ingress collectors, Pub/Sub processors, Dataflow jobs, batch loaders, controllers and CLI tools are written in Go.</li>
<li>Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, Cloud SQL</li>
<li>Strong SQL and analytical data modeling skills; familiarity with SQLMesh (or similar dbt-style orchestration tools) is a significant plus</li>
<li>Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; Cloud Run-style serverless, not cluster Kubernetes)</li>
<li>Experience with Protobuf or comparable schema definition and serialization frameworks</li>
<li>Familiarity with IVW, OEWA or comparable digital audience measurement standards or a genuine interest in the web analytics domain and the ability to ramp quickly</li>
<li>Experience with AI coding assistants and coding agents (Claude Code, Codex, or similar) and sound judgment in reviewing AI-generated code for quality, security, and operational risk</li>
<li>Excellent communication skills with both technical and non-technical stakeholders</li>
<li>Fluent German (C1) required; good English for technical documentation and saas.group collaboration</li>
</ul><h3 class="jobSectionHeader">What's in it for You</h3>
<ul><li>Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like.</li>
<li>Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way, with plenty of help from the team when you need it.</li>
<li>Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady &amp; sustainable.</li>
<li>Small &amp; friendly team: We help each other out, have fun, and joke around.</li>
<li>Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.</li>
</ul>
INFOnline is part of saas.group and we have a shared goal of succeeding together.<div>
&mdash;

saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply.

We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview - so you have everything you need to evaluate the opportunity.</div></div>

Lead Data Platform Engineer (German Speaker)

Thales

<div>Location: Berlin, Germany
We Say HI*
Site Reliability Engineer / Cloud Operations Engineer (f/m/d) 
 German companies and public administrations in this country are ready to accelerate their digital transformation and the use of AI&mdash;but they will never compromise on the security of their most sensitive data. This is where Thales in Germany, in partnership with Google Cloud and our new company currently being established, comes into play. With a new, 100% German business unit, we are providing a concrete response to the strict requirements of the BSI. What we are creating is a locally and fully autonomously operated &ldquo;Trusted Cloud&rdquo;. It provides access to the broadest service portfolio on the market, while everything remains strictly under European jurisdiction. By combining German and French standards such as SecNumCloud, C5 and C3-A, we offer our customers unequaled resilience and business continuity. This is a turning point for our industry and a decisive step towards a strong, sovereign digital Europe.
Your mission as Site Reliability Engineer:<ul><li>
Operate and maintain mission-critical sovereign cloud services with availability targets of 99.99% and above.</li><li>
Monitor service health, reliability, scalability, latency, and performance using Service Level Indicators (SLIs) and Service Level Objectives (SLOs).</li><li>
Investigate, troubleshoot, and resolve complex production incidents across large-scale distributed cloud environments.</li><li>
Participate in a structured 24/7 on-call rotation (approximately one week every six weeks) to ensure continuous service availability.</li><li>
Collaborate with Site Reliability Engineers, Cloud Infrastructure Specialists, and Product Experts across international teams to mitigate incidents and drive long-term solutions.</li><li>
Build a deep understanding of Google's cloud technologies and distributed systems through an intensive training program covering technologies such as Borg, Colossus, Spanner, and other core GCP components.</li><li>
Drive operational excellence by creating and maintaining technical documentation, standardizing incident response procedures, and continuously improving operational playbooks.</li><li>
Lead and contribute to post-incident reviews, root cause analyses, and the implementation of preventive measures to improve platform reliability.</li><li>
Identify opportunities for automation and contribute to improving operational efficiency, scalability, compliance, and service reliability.</li><li>
Support the operation of highly secure cloud environments designed to meet stringent regulatory and sovereignty requirements.</li></ul>
We are looking forward to:<ul><li>
Several years of experience in Site Reliability Engineering, Cloud Operations, DevOps, Platform Engineering, Infrastructure Engineering, Production Support, Network Operations (NOC), Technical Operations, or a comparable role.</li><li>
Experience operating and supporting business-critical production systems with demanding uptime and availability requirements.</li><li>
Strong troubleshooting and incident management skills in complex technical environments.</li><li>
Experience monitoring, operating, and maintaining distributed systems, cloud platforms, infrastructure services, or large-scale applications.</li><li>
Familiarity with reliability engineering concepts, observability, monitoring, alerting, incident response, and root cause analysis.</li><li>
Experience working with automation, scripting, operational tooling, or Infrastructure-as-Code approaches.</li><li>
Strong analytical and problem-solving skills with a structured and methodical approach.</li><li>
Professional proficiency in both German and English.</li><li>
Willingness to participate in a regular on-call rotation.</li><li>
Curiosity, adaptability, and a strong desire to learn and work with hyperscale cloud technologies.</li></ul> 
 
The Group invests more than &euro;4,5 billion per year in Research &amp; Development in key areas, particularly for critical environments, such as Artificial Intelligence, cybersecurity, quantum and cloud technologies.
In 2025, the Group generated sales of &euro;22.1 billion. 
 
For our more than 85,000 employees in 65 countries we open up visionary perspectives, realise individual career paths and enable creative freedom. This is achieved with courage, versatility and the firm intention to make the demanding challenges of our time safer and more inclusive. With our sustainable value-focused management we support diversity actively.
Say HI* &ndash; Your journey to us
At times of change our international teams are ready to meet the complexity of today with the industry-leading technologies of tomorrow. Will you be part of it? Your Talent Acquisition contact Andre Fuhrmann is looking forward to your online application.
Andre Fuhrmann &ndash; Talent Acquisition Partner
+49 7156 / 302-22002<ul><li>Human Intelligence</li></ul>
#LI-AF1
#LI-HYBRID</div>

Senior Site Reliability Engineer / Cloud Operations Engineer (m/f/d)

Chapter 2

<div>Senior Product Engineer &ndash; Digital Health / AI Berlin (on-site) &middot; Full-time
Chapter 2 is partnering exclusively with a leading digital health startup at the forefront of AI-enabled cardiac telemonitoring. Working with institutions including Charit&eacute;, Mayo Clinic, and UCSF, they are building technology that detects early signs of heart failure deterioration and improves patient outcomes at scale.
They are looking for a Senior Product Engineer to join a small, high-ownership team and take end-to-end responsibility for significant product projects across their AI-enabled platform.
The Role
You will work closely with the Product Lead to scope, build, and ship substantial features across the full stack, from physician and patient interfaces on the frontend to APIs, data modelling, and ML integration on the backend. You won't be handed tickets. You'll shape projects from concept through to post-launch iteration, lead a small squad of engineers, and collaborate directly with clinical partners, sales, and founders.
What You'll Need<ul><li>
M.Sc. in a STEM field with 2+ years of full-stack experience, or 4+ years without</li><li>
Strong Python on the backend, TypeScript/React on the frontend</li><li>
A product and user-focused mindset &mdash; you care about UX and make design decisions, not just implementation decisions</li><li>
Comfort operating with high autonomy in a small team</li><li>
Fluent English</li></ul>
Nice to Have<ul><li>
Experience with ML/data pipelines, audio/signal processing, or clinical data</li><li>
Background in regulated software (MDR, ISO 13485, IEC 62304) or healthcare products</li><li>
DevOps and cloud infrastructure experience (GCP, CI/CD)</li><li>
German language skills</li></ul>
What's on Offer<ul><li>
Competitive compensation package with meaningful equity</li><li>
A mission that matters &mdash; technology with direct impact on patient outcomes</li><li>
A Berlin-Mitte office and a team built from some of the best engineering and clinical minds in digital health</li><li>
Urban Sports Club membership</li></ul>
If you are a full-stack engineer who wants to own real product work in a clinical environment that is genuinely changing how heart disease is managed, we'd like to hear from you.</div>

Senior Product Engineer

<div>Chapter 2 is partnering exclusively with a leading digital health startup at the forefront of AI-enabled cardiac telemonitoring. Working with institutions including Charit&eacute;, Mayo Clinic, and UCSF, they are building technology that detects early signs of heart failure deterioration and improves patient outcomes at scale.
They are looking for a Full Stack Engineer to join a small, high-ownership team and take end-to-end responsibility for significant product projects across their AI-enabled platform.
The Role
You will work closely with the Product Lead to scope, build, and ship substantial features across the full stack, from physician and patient interfaces on the frontend to APIs, data modelling, and ML integration on the backend. You won't be handed tickets. You'll shape projects from concept through to post-launch iteration, lead a small squad of engineers, and collaborate directly with clinical partners, sales, and founders.
What You'll Need<ul><li>
M.Sc. in a STEM field with 2+ years of full-stack experience, or 4+ years without</li><li>
Strong Python on the backend, TypeScript/React on the frontend</li><li>
A product and user-focused mindset, you care about UX and make design decisions, not just implementation decisions</li><li>
Comfort operating with high autonomy in a small team</li><li>
Fluent English</li></ul>
Nice to Have<ul><li>
Experience with ML/data pipelines, audio/signal processing, or clinical data</li><li>
Background in regulated software (MDR, ISO 13485, IEC 62304) or healthcare products</li><li>
DevOps and cloud infrastructure experience (GCP, CI/CD)</li><li>
German language skills</li></ul>
What's on Offer<ul><li>
Competitive compensation package with meaningful equity</li><li>
A mission that matters, technology with direct impact on patient outcomes</li><li>
A Berlin-Mitte office and a team built from some of the best engineering and clinical minds in digital health</li><li>
Urban Sports Club membership</li></ul>
If you are a full-stack engineer who wants to own real product work in a clinical environment that is genuinely changing how heart disease is managed, we'd like to hear from you.</div>

Full Stack Engineer

NextexAI

<div>NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.

Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.

We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.

We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.
<h2 class="jobSectionHeader">
Tasks</h2>

As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.

You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.

Your responsibilities include:
<ul><li>Building cloud-native infrastructure and deployment pipelines</li></ul>
<ul><li>Designing and developing scalable backend services and APIs</li></ul>
<ul><li>Building dashboards, analytics systems and internal tools</li></ul>
<ul><li>Developing industrial data pipelines for machine, sensor and camera data</li></ul>
<ul><li>Supporting edge-to-cloud communication and industrial integrations</li></ul>
<ul><li>Supporting AI model deployment, monitoring and inference workflows</li></ul>
<ul><li>Structuring textile production data, defect classifications and sustainability KPIs</li></ul>
<ul><li>Working directly with pilot factories and industrial partners</li></ul>
<ul><li>Contributing to product architecture and technical strategy</li></ul>
<h2 class="jobSectionHeader">
Requirements</h2>

Strong software engineering background
<ul><li>Strong Python and C++ programming skills</li></ul>
<ul><li>Experience with FastAPI, Django, Flask, Node.js or similar frameworks</li></ul>
<ul><li>Experience with PostgreSQL or similar database systems</li></ul>
<ul><li>Experience with Docker and containerized environments</li></ul>
<ul><li>Experience with AWS, Azure or Google Cloud</li></ul>
<ul><li>Understanding of REST APIs and scalable software architectures</li></ul>
<ul><li>Fluent English</li></ul>
<ul><li>Ability to work independently in an early-stage startup environment</li></ul>

Preferred Qualifications
<ul><li>Located in Berlin or willing to relocate to Berlin</li></ul>
<ul><li>Professional working proficiency in German (prior work experience in a German-speaking environment preferred)</li></ul>
<ul><li>Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)</li></ul>
<ul><li>Experience with MLOps and model deployment pipelines</li></ul>
<ul><li>Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)</li></ul>
<ul><li>Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments</li></ul>
<ul><li>Startup or founding-team experience</li></ul>
<ul><li>Interest in textile manufacturing, sustainability and Industry 4.0</li></ul>
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>10% equity participation as a founding team member</li></ul>
<ul><li>Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year</li></ul>
<ul><li>Significant compensation increase planned following successful MVP validation and funding milestones</li></ul>
<ul><li>Opportunity to build a deep-tech startup from day one</li></ul>
<ul><li>Direct impact on product, technology and company strategy</li></ul>
<ul><li>Access to real industrial production environments and pilot textile factories</li></ul>
<ul><li>Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence</li></ul>
<ul><li>Direct collaboration with experienced founders, academic advisors and industry partners</li></ul>
<ul><li>Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin</li></ul>
<ul><li>Opportunity to shape both the product and company from an early stage</li></ul>
<ul><li>Flexible working environment</li></ul>
<ul><li>Potential CTO-level growth opportunities as the company scales</li></ul>

We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.

To apply, please submit:
<ul><li>Your CV</li></ul>
<ul><li>LinkedIn profile</li></ul>
<ul><li>A short introduction explaining why you are interested in joining NexTex AI</li></ul>

Selected candidates will be invited to:

1. Introductory discussion with the founders

2. Technical discussion and architecture review

3. Final founder meeting

If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.

We look forward to hearing from you.</div>

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

The Quality Group

<div>Start: Immediately | Level: Mid - Senior | Location: Germany, remote | Working Hours: Full Time (40h/Week) 

We're looking for a (Senior) Data Engineer (gn) who's ready to leave a real mark. You'll take ownership of our data platform, drive the architecture of scalable and reliable data products &ndash; and play a central role in shaping our Data Warehouse to the next level. As the core of our data hub, you'll connect teams, technologies, and insights, setting the technical direction for how we work with data across the entire organisation.
<h3 class="jobSectionHeader">
Your mission</h3>
<ul><li>You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers</li>
<li>You lead the development of robust data pipelines using Fivetran, Airbyte, and Python &ndash; setting engineering standards for the team</li>
<li>You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary</li>
<li>You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions</li>
<li>You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges</li>
<li>You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC)</li></ul> 
<h3 class="jobSectionHeader">Your experience &amp; skills</h3>
<ul><li>You have several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment</li>
<li>You're proficient in SQL, Python, dbt, and Git &ndash; and have a strong track record of building production-grade pipelines</li>
<li>You bring experience with cloud platforms (AWS preferred) and tools like Databricks, Fivetran, or Airbyte</li>
<li>You have a deep understanding of data modeling, data warehouse design, and data quality best practices</li>
<li>You're a strong communicator who can bridge the gap between engineering and business stakeholders</li>
<li>You're self-driven, take ownership end-to-end, and thrive in a remote, async-first environment</li>
</ul><h3 class="jobSectionHeader">Why choose us?</h3>

Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle.

You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/N&uuml;tzen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you'll benefit from:
<ul>
<li>Flexible working hours and remote work options</li>
<li>Attractive employee discounts</li>
<li>Subsidy for the E-gym Wellpass</li>
<li>Workation</li>
<li>Corporate benefits</li>
<li>28 days vacation/year</li>
<li>and much more</li></ul> 

<h3 class="jobSectionHeader">
About Us</h3>

The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021.

ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise.

TQG's vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees.

This is us &ndash; The Quality Group &ndash; nice to meet you! Now it's your turn! 
We look forward to your application! Regardless of gender, age, background, or identity &ndash; what matters to us is who you are and what you bring to the table. Join our team and grow with us!</div>

(Senior) Data Engineer (gn)

Stackgini

<div>
 
 At Stackgini we are turning business ideas into technology impact.
 
 
 
 In most large companies this journey is broken. A good idea lands in an IT organization that runs hundreds of applications, and nobody can tell you quickly what already exists, what is redundant or what to buy. So decisions happen in spreadsheets and gut feeling, and ideas wait.
 
 
 
 We are changing that. Our platform understands the enterprise application landscape bottom-up, from individual demands to full portfolio interdependencies, and reasons about it the way the best human experts do, just at machine scale. Our vision: enterprise IT that is self-governing and self-optimizing. No longer a bottleneck, but the engine of innovation.
 
 
 
 We are 11 people, and we build this with Siemens Healthineers, REWE, SAP, DATEV, Danaher and other leading enterprises including even more DAX 40 and Fortune 500 companies. We have thousands of users and process very large IT landscapes, one of our customers even exceeds 11,000 applications. At this size there is no hiding. What you ship goes to customers fast, and the people who join now set the standard for the product, the culture and the category.
 
 
 Tasks
 
 
 
 The role
 
 
 
 
 A Product Engineer at Stackgini owns features end to end. You take a customer problem, scope it with Product &amp; CSM, design the solution, build it across the stack, ship it, and stay close to it after release. Recent examples: Product Engineers shipped Decisions and Approvals (a feature for routing IT requests through multi-step approval workflows), built evaluation infrastructure to benchmark agent recommendations against expert baselines, and agentic IT solutions research with our inhouse developed agent tool-use.
 
 
 
 You are close to users. You join customer calls, run user tests, read support context, and you use that input to decide what should exist and how it should behave. The person building the feature is expected to shape the feature.
 
 
 
 We have more good ideas than hands. For most reasonable feature ideas the question is not whether we build them, but when. Product Engineers are the people who turn that prioritization into shipped product quickly, without lowering the bar.
 
 
 
 
 The AI work
 
 
 
 
 AI is core to our product, but we don't run agents for everything. We use them where they create real value. For that we built our own LLM harness from hard-earned production experience: maximum freedom for the model, without compromising on enterprise control, governance or EU data residency.
 
 
 
 What this means for you: you work hands-on with these new technologies, you run evals instead of trusting demos, and you know how to put this stuff into production reliably. Agent output gets benchmarked against expert-curated baselines, and failure modes get named, measured and fixed. If you are obsessed with how AI systems behave, fail and improve, this is the place for you.
 
 
 
 
 How we ship
 
 
 
 <ul>
 
 <li>
 Small teams of 2 to 3 engineers around a topic. We deploy continuously to production.
 </li>
 
 <li>
 We use AI tools heavily, and you have freedom in which ones (e.g. Cursor, Claude, Codex). Around that we run a strong operating system: clear ticket context, focused branches, AI review before human review, screenshots or videos for product changes, manual product testing before release, production verification after.
 </li>
 
 <li>
 The engineer who ships a change owns it in production. If something breaks, you lead the fix.
 </li>
 
 </ul>
 
 Requirements
 
 
 
 What we need from you
 
 
 
 
 Nobody at 11 people knows everything. We hire people who dive in and own outcomes.
 
 
 <ul>
 
 <li>
 3 to 6 years of full-stack experience shipping production software people actually use.
 </li>
 
 <li>
 You can get productive in our stack fast: Kotlin/Spring Boot and Python on the backend, TypeScript/React on the frontend. You don't need to know all of it on day one, but you should get into it quickly.
 </li>
 
 <li>
 You have shipped agentic systems, side projects absolutely count. You think in tools, context and evals, not just prompts.
 </li>
 
 <li>
 Fluent English. German is a real plus because many customer calls run in German. We pair you with a German-speaking teammate when needed, but German gets you closer to users faster.
 </li>
 
 </ul>
 
 
 
 You'll stand out if
 
 
 
 <ul>
 
 <li>
 You build with AI natively, not as an afterthought.
 </li>
 
 <li>
 You can take a vague problem to a shipped feature. You scope, decide, implement, test and iterate.
 </li>
 
 <li>
 You want to understand why people behave the way they do, and you use that understanding to make product decisions.
 </li>
 
 <li>
 You have high standards for yourself and move fast without needing to be pushed. B2B SaaS or startup experience is a plus.
 </li>
 
 </ul>
 
 
 
 Our stack
 
 
 
 
 Kotlin (Spring Boot) &amp; Python &middot; TypeScript (React/Next.js) &middot; PostgreSQL &middot; AWS (Fargate, ECS) &amp; Terraform &middot; GitHub Actions &middot; Azure (OpenAI) &middot; AWS (Bedrock)
 
 
 Benefits
 
 
 
 Working here
 
 
 
 
 We work from our office in Berlin (hybrid, but most engineering happens in-person). The team spends free-time together several times a month, shares lunch, and works closely on hard problems. No politics, no long meetings - we move fast and make decisions at the whiteboard. You'll be one of 11 people, which means your work ships to customers within days, not quarters.
 
 
 
 
 Benefits
 
 
 
 <ul>
 
 <li>
 Attractive compensation package including employee stock options
 </li>
 
 <li>
 Hybrid work with a modern office in Berlin
 </li>
 
 <li>
 30 days of vacation and day off on your birthday
 </li>
 
 <li>
 Budget for self-improvement and dedicated time for learning &amp; innovation
 </li>
 
 <li>
 Home-office allowance, Deutschlandticket, gym pass
 </li>
 
 <li>
 The best popcorn in town
 </li>
 
 </ul>
 
 
 Ready to make an impact? Join us at Stackgini and be part of something extraordinary!
 
</div>

Product Engineer (m/f/d)

Explore 150+ Lead data platform engineer german speaker in Berlin this July. Find roles across top companies and apply now to boost your career.