ai engineer (m/f/d)

senior software engineer

product engineer / ex technical founder Jobs in Berlin

product engineer / ex technical founder

senior product engineer

software product engineer (m/f/d) Jobs in Berlin

software product engineer (m/f/d)

product engineering manager

hexafarms

<div>
 <strong>
  Your mission
  <br/>
  <br/>
 </strong>
 Own the modules of the operating system for commercial production&ndash; end to end. Understand every layer it touches, pull the experts together, and ship something customers pay for and love ????
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're building the operating system for commercial production&ndash; the software layer growers run their operation on. Under one roof we have people building hardware, training ML models, shipping AI, and world-class agronomists. Our OS turns all of that into modules our customers buy and rely on every day.
 <br/>
 <br/>
 Our product offerings are made of modules&ndash; forecasting is one example, and there are many more. We're looking for a Product Engineer to own the product end to end. That means you understand every layer it touches&ndash; the hardware feeding it data, the ML behind its predictions, the agronomy that makes it correct, the software the customer sees&ndash; well enough to earn the trust of each expert, pull them together, and ship modules customers pay for.
 <br/>
 <br/>
 This is the role we couldn't fill with a traditional product manager. It needs someone who can hold the whole thing in their head, decide what to build from a thin spec, and drive it across every discipline until it's done. You won't write a lot of code&ndash; that's what the experts are for&ndash; but you're technical enough to prototype, glue the pieces together, and ship code yourself when that's the fastest path.
 <br/>
 <br/>
 What you'll do
 <br/>
 <br/>
 <ul>
  <li>
   Own modules end-to-end&ndash; from customer requirements to shipped, paid-for product. The outcome is yours.
  </li>
  <li>
   Orchestrate across disciplines&ndash; get hardware, ML, agronomy, and AI engineers aligned and moving, and earn their trust by genuinely understanding their work.
  </li>
  <li>
   Talk to customers directly&ndash; understand what they need, decide what to build, and measure whether it worked.
  </li>
  <li>
   Build when it's the fastest path&ndash; prototype, integrate ML into the product, ship full-stack features, unblock yourself in unfamiliar territory.
  </li>
  <li>
   Make things happen&ndash; close the loop after shipping, don't just hand off a spec.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You've founded or co-founded a company, or owned a product like a founder would&ndash; built it, shipped it, and lived with the consequences.
  </li>
  <li>
   3+ years building/managing production software. Strongly familiar with at least one backend and one frontend technology.
  </li>
  <li>
   You're good at talking to users and turning fuzzy needs into something concrete. FYI, most of our customers only speak German.
  </li>
  <li>
   You can go deep across unfamiliar disciplines&ndash; hardware, ML, a gnarly customer workflow, cloud ops far enough to make good calls and keep experts moving.
  </li>
  <li>
   Habitual AI power user (Claude Code, Cursor, Codex, or whatever's next). Strong opinions on AI-augmented engineering; always finding tools that make the team faster.
  </li>
  <li>
   You can explain technical trade-offs to engineers and non-engineers alike, and you know when to cut corners and when to be rigorous.
   <br/>
   <br/>
  </li>
 </ul>
 You read all of the above and think: am I really expected to be a unicorn ????? Honestly&hellip; kind of, yes. But if you tick most of these and the rest sounds like a fun stretch &ndash; we want to hear from you.
 <br/>
 <br/>
 <strong>
  Nice to have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Background or genuine curiosity in agriculture, climate, or deep tech / hardware.
  </li>
  <li>
   Some experience interfacing ML or CV into a real product.
  </li>
  <li>
   You've worked close to hardware or physical systems before.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why us?
  <br/>
  <br/>
 </strong>
 You talk to customers, decide what to build, build it, ship it, and measure whether it worked. You're comfortable with thin specs. If something breaks at the edge of your knowledge, you figure it out. If you've built and run a company before, this will feel familiar&ndash; the pace, the ambiguity, the ownership.
 <br/>
 <br/>
 The difference: you're joining a company with traction, paying customers, and a clear technical direction&ndash; and a hard, real problem worth owning.
 <br/>
 <br/>
 <ul>
  <li>
   Full ownership of modules customers actually pay for.
  </li>
  <li>
   A team of genuine experts across hardware, ML, AI, and agronomy to build with.
  </li>
  <li>
   Berlin, hybrid.
  </li>
  <li>
   Benefits&ndash; equity / perks / visiting farms/ morning matchas/ strawberries, etc.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 We are building the company that is building the software and the hard for the future of commercial food production. We create a peace of mind for commercial food producers by interfacing their entire operations to our ML and AI services. If you live in Europe, very likely, you've had fresh, healthy and nutritious produce raised by hexafarms OS&ndash; you just don't know.
 <br/>
 <br/>
 hexafarms helps growers to get the most out of their production through yield forecasting, disease and pest detection, climate optimisation, and real-time plant analysis- all in one place. Day by day, we are bridging the gap between sensing, plant biology, and real-time market needs to ensure our customers focus on what is really important, and keep growing at their best.
 <br/>
 <br/>
 Check out what is like to work at hexafarms here.
</div>


Product Engineer / Ex Technical Founder

CLERA

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
Join a lean, high-impact engineering team at a Series A PropTech startup building <b>agentic AI systems</b> that observe, decide, and act on real-world property operations &mdash; with humans in the loop. This is a full-stack, end-to-end ownership role: you'll modernize legacy systems, design autonomous workflows, and turn messy operational processes into clean, production-ready software. If you thrive in small teams, think like a founder, and want your work to matter immediately, this role is for you.</p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p>
Own features end-to-end, learning the business deeply enough to drive solutions independently.</p></li><li><p>
Design and build agentic AI workflows for guest communication (chat and voice), operational decisions, and property management tasks.</p></li><li><p>
Modernize legacy systems and redesign data structures to meet evolving product requirements.</p></li><li><p>
Shadow real operational workflows to uncover inefficiencies, workarounds, and hidden steps &mdash; then turn them into reliable software.</p></li><li><p>
Scope, ship, and iterate on problems rather than just working through a ticket queue.</p></li><li><p>
Collaborate closely with internal teams to align product and engineering direction.</p></li><li><p>
Operate with high agency and ownership, delivering results rapidly and safely.</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><p><b>
Required:</b></p><ul><li><p>
Demonstrable engineering experience you can showcase during the hiring process.</p></li><li><p>
Strong proficiency in <b>TypeScript</b> and <b>React</b> for full-stack development.</p></li><li><p>
Fluent spoken and written <b>English</b> with excellent communication skills &mdash; including asking the right questions to unblock work.</p></li><li><p>
Proven track record of shipping quickly while exercising sound judgment about acceptable trade-offs.</p></li><li><p>
Ability to self-manage: plan work, communicate progress, and flag blockers proactively.</p></li><li><p>
Comfort working in an agentic engineering style (e.g., running multiple AI coding agents and terminals in parallel).</p></li><li><p>
Familiarity with <b>Express, PostgreSQL, MongoDB, and AWS</b>; experience with <b>Linear</b> and <b>Notion</b> for tracking and documentation.</p></li><li><p>
Strong product taste &mdash; attention to user experience down to messaging and interaction wording.</p></li><li><p>
Willingness to relocate to <b>Berlin, Germany</b> and work from the office regularly.</p></li><li><p>
Eligibility to work in Germany without visa sponsorship (sponsorship is not available).</p></li></ul><p><b>
Nice to Have:</b></p><ul><li><p>
Experience with agentic AI or AI agent systems.</p></li><li><p>
Prior startup experience or a founder mentality.</p></li><li><p>
Background in hospitality or PropTech domains.</p></li><li><p>
Strong product sense and product-minded approach to engineering.</p></li></ul><h3 class="jobSectionHeader"><b>
Compensation &amp; Benefits</b></h3><ul><li><p><b>
Salary:</b> $90,000 &ndash; $110,000 USD annually</p></li><li><p>
Small, accountable team focused on outcomes over meetings</p></li><li><p>
High-impact work in a fast-growing AI-native platform</p></li><li><p>
On-site role in Berlin with a collaborative, startup environment</p></li></ul><h3 class="jobSectionHeader"><b>
Location</b></h3><p>
This is an <b>on-site role based in Berlin, Germany</b>. Candidates must be willing to relocate to Berlin and work from the office regularly. Visa sponsorship is not available &mdash; candidates must already be eligible to work in Germany.</p></div>

Product Engineer (Full-Stack / Agentic AI)

<div><h4 class="jobSectionHeader"><b>Your mission</b></h4><p>
Own the modules of the operating system for commercial production&ndash; end to end. Understand every layer it touches, pull the experts together, and ship something customers pay for and love ????</p><h4 class="jobSectionHeader"><b><br>
About the role</b></h4><div>
We're building the operating system for commercial production&ndash; the software layer growers run their operation on. Under one roof we have people building hardware, training ML models, shipping AI, and world-class agronomists. Our OS turns all of that into modules our customers buy and rely on every day.<br>
<br>
Our product offerings are made of modules&ndash; forecasting is one example, and there are many more. We're looking for a Product Engineer to own the product end to end. That means you understand every layer it touches&ndash; the hardware feeding it data, the ML behind its predictions, the agronomy that makes it correct, the software the customer sees&ndash; well enough to earn the trust of each expert, pull them together, and ship modules customers pay for.<br>
<br>
This is the role we couldn't fill with a traditional product manager. It needs someone who can hold the whole thing in their head, decide what to build from a thin spec, and drive it across every discipline until it's done. You won't write a lot of code&ndash; that's what the experts are for&ndash; but you're technical enough to prototype, glue the pieces together, and ship code yourself when that's the fastest path.<br>
<br>
 What you'll do<br>
<ul><li><b>Own modules end-to-end</b>&ndash; from customer requirements to shipped, paid-for product. The outcome is yours.</li><li><b>Orchestrate across disciplines</b>&ndash; get hardware, ML, agronomy, and AI engineers aligned and moving, and earn their trust by genuinely understanding their work.</li><li><b>Talk to customers directly</b>&ndash; understand what they need, decide what to build, and measure whether it worked.</li><li>Build when it's the fastest path&ndash; prototype, integrate ML into the product, ship full-stack features, unblock yourself in unfamiliar territory.</li><li>Make things happen&ndash; close the loop after shipping, don't just hand off a spec.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Your profile</b></h4><p></p><ul><li>
You've <b>founded or co-founded a company, or owned a product like a founder would&ndash; </b>built it, shipped it, and lived with the consequences.</li><li>
3+ years building/managing production software. Strongly familiar with at least one backend and one frontend technology.</li><li>
You're good at talking to users and turning fuzzy needs into something concrete. FYI, most of our customers only speak German.</li><li>
You can go deep across unfamiliar disciplines&ndash; hardware, ML, a gnarly customer workflow, cloud ops far enough to make good calls and keep experts moving.</li><li>
Habitual AI power user (Claude Code, Cursor, Codex, or whatever's next). Strong opinions on AI-augmented engineering; always finding tools that make the team faster.</li><li>
You can explain technical trade-offs to engineers and non-engineers alike, and you know when to cut corners and when to be rigorous.</li></ul>
You read all of the above and think: am I really expected to be a unicorn ????? Honestly&hellip; kind of, yes. But if you tick most of these and the rest sounds like a fun stretch &ndash; we want to hear from you.<br>
<br>
<b>Nice to have</b><ul><li>
Background or genuine curiosity in agriculture, climate, or deep tech / hardware.</li><li>
Some experience interfacing ML or CV into a real product.</li><li>
You've worked close to hardware or physical systems before.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><div>
You talk to customers, decide what to build, build it, ship it, and measure whether it worked. You're comfortable with thin specs. If something breaks at the edge of your knowledge, you figure it out. If you've built and run a company before, this will feel familiar&ndash; the pace, the ambiguity, the ownership.<br>
<br>
The difference: you're joining a company with traction, paying customers, and a clear technical direction&ndash; and a hard, real problem worth owning.<br>
<br>
<ul><li><b>Full ownership </b>of modules customers actually pay for.</li><li><b> A team of genuine experts</b> across hardware, ML, AI, and agronomy to build with.</li><li><b>Berlin, hybrid</b>.</li><li>Benefits&ndash; equity / perks / visiting farms/ morning matchas/ strawberries, etc.</li></ul></div><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
We are building the company that is building the software and the hard for the future of commercial food production. We create a peace of mind for commercial food producers by interfacing their entire operations to our ML and AI services. If you live in Europe, very likely, you've had fresh, healthy and nutritious produce raised by hexafarms OS&ndash; you just don't know.<br>
<br>
hexafarms helps growers to get the most out of their production through yield forecasting, disease and pest detection, climate optimisation, and real-time plant analysis- all in one place. Day by day, we are bridging the gap between sensing, plant biology, and real-time market needs to ensure our customers focus on what is really important, and keep growing at their best.<br>
<br>
Check out what is like to work at hexafarms here.</p></div>

CuspAI

<div>
 <strong>
  About CuspAI
  <br/>
  <br/>
 </strong>
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 <br/>
 <br/>
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 <br/>
 <br/>
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 <br/>
 <br/>
 <strong>
  We&rsquo;re on the cusp of the on-demand materials era. Join us.
  <br/>
  <br/>
 </strong>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Due to rapid growth, we are seeking a full-stack
 <strong>
  Product / Full Stack Engineer
 </strong>
 * to lead the inception and development of our internal application suite, serving as the foundational architect for the tools our world-class researchers use every day.
 <br/>
 <br/>
 <ul>
  <li>
   Note that you would be joining as a &lsquo;Member of Technical Staff&rsquo;, but the indicative job title above hopefully helps to explain the nature of this role. The role will be part of our Platform &amp; Engineering organisation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 In this role you will be building the internal product ecosystem that streamlines and curates our proprietary discovery workflows, which is critical for accelerating our mission to solve global challenges through next-generation materials.
 <br/>
 <br/>
 Your main focus initially will be partnering with our VP of Product to define and build the first generation of internal applications from scratch, ensuring they are not just functional but curated as high-quality products. Over time, you will likely get involved in scaling these systems to support increasingly complex interdisciplinary data flows and potentially external-facing interfaces as our "search engine" for materials evolves.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Product Inception &amp; Internal Tooling
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the development of a suite of internal applications, treating them as first-class products with a focus on usability and long-term scalability.
  </li>
  <li>
   Collaborate closely with the VP of Product to translate high-level research needs into technical roadmaps and intuitive software solutions.
  </li>
  <li>
   Own the end-to-end lifecycle of internal tools, from initial architecture and backend design to frontend deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Backend Architecture &amp; Data Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build robust backend services primarily using Python to interface with our core AI and research engines.
  </li>
  <li>
   Partner with the Data Engineering team to ensure seamless ingestion and visualization of complex datasets within internal applications.
  </li>
  <li>
   Develop processes to integrate disparate workflows into a unified, high-performance internal platform.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Frontend Development &amp; UI/UX
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop clean, functional, and responsive UIs that allow our researchers to interact with complex data effectively.
  </li>
  <li>
   Maintain a high bar for the "curated" feel of our internal applications, ensuring they are intuitive and reduce the cognitive load for our technical teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interdisciplinary Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with AI Researchers and Data Engineers to understand the nuances of their daily tasks and build tools that empower them.
  </li>
  <li>
   Collaborate with the broader engineering team to ensure internal tools align with our overall infrastructure and security standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Skills and Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have at least 4+ years of professional experience in full-stack software engineering, with a proven track record of building and maintaining production-grade applications.
  </li>
  <li>
   You possess strong backend expertise, specifically with Python and modern web frameworks (e.g. FastAPI, Django, or Flask).
  </li>
  <li>
   You are proficient with Node.js and modern frontend frameworks (e.g. React, Vue, or TypeScript) and have a keen eye for UI/UX best practices.
  </li>
  <li>
   You are a "builder" at heart who enjoys the greenfield stage of a project and is comfortable making architectural decisions from scratch.
  </li>
  <li>
   You have a product-focused mindset, meaning you don't just "write tickets" but actively think about how to make the user's life easier.
  </li>
  <li>
   You are excited by the prospect of enabling world-changing scientific discovery, even if you don't have a background in the sciences yourself.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (But Not Critical):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in an early-stage startup environment where you've had to wear multiple hats.
  </li>
  <li>
   Previous experience building internal tools, dashboards, or "Admin" interfaces for data-heavy companies.
  </li>
  <li>
   Knowledge of modern DevOps practices and cloud infrastructure (e.g. GCP, Docker, Kubernetes).
  </li>
  <li>
   An academic background or personal interest in Materials Science, Chemistry, or Sustainability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Considerations
  <br/>
  <br/>
 </strong>
 This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work.
 <br/>
 <br/>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary: We value and reward impact and growth
  </li>
  <li>
   Equity in CuspAI: You have a stake in the success of the company
  </li>
  <li>
   Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  </li>
  <li>
   &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
  </li>
  <li>
   Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  </li>
  <li>
   Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
  </li>
  <li>
   True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
  <br/>
  <br/>
 </strong>
 <strong>
  CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 </strong>
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 <br/>
 <br/>
 <strong>
  We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
  <br/>
  <br/>
 </strong>
 <strong>
  Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
  <br/>
  <br/>
 </strong>
</div>


Product Engineer

koppla

<div><h4 class="jobSectionHeader"><b>In a nutshell</b></h4><p>
koppla is building the <b>next-gen collaborative scheduling platform for construction</b>, helping project managers keep projects on time by identifying delays and disruptions before they impact timelines.<br>
<br>
We are looking for an <b>Engineering Manager </b>to lead and develop our engineering team. We have a team of high-performing, driven and product-minded engineers across all seniority levels who care deeply about what they build and how they grow. Partnering closely with our VP Product and CEO, you&rsquo;ll make sure the team grows further, thrives, and keeps shipping a high-quality product.<br>
<br>
<b>Compensation:</b> &euro;90k-120k + 45% of your base salary in equity on top<br>
<b>Location:</b> Berlin (Hybrid, 3+ days/week in office); open for candidates willing to relocate to Berlin</p><h4 class="jobSectionHeader"><b><br>
About koppla</b></h4><p>
At koppla, we're a fun and ambitious team on a mission to help the construction industry build more efficiently. We're already partnering with top construction companies and delivering impressive results for our customers (multi-months speed-ups discovered through koppla).<br>
<br>
Our ambitions are <b>backed by leading VCs (Earlybird, Newion) </b>and industry angels as we tackle a billion-dollar opportunity problem in an underdigitized and underserved market.<br>
<br>
Our culture is core to who we are and we've built one we're genuinely proud of. We are not looking for hypergrowth - we believe in hiring slowly to create an environment of few but very high-performing team members that build a truly great product (similar to Netflix, Ashby or Linear).</p><h4 class="jobSectionHeader"><b><br>
What you'll be doing</b></h4><p>
You'll be the dedicated people leader for our engineers across all seniority levels - actively developing our high-performing, driven team, sharpening how we work, and making sure great people stay and grow.</p><ul><li><b>
Lead and develop our engineering team.</b> Run regular 1:1s, give direct and actionable feedback and own career development across the full seniority spectrum - from an early junior finding their footing to an aspiring staff engineer. This is the core of the role.</li><li><b>
Improve delivery, processes, and purposeful AI adoption.</b> Adopt our existing processes, challenge and support the senior engineers in operational excellence, and identify where AI genuinely improves how we work and what we ship (e.g., reducing rework, sharpening code review, accelerating problem-solving).</li><li><b>
Hands-on-guidance.</b> Maintain enough proximity to the codebase and technical discussions to support junior engineers on code quality and contribute meaningfully to technical discussions with the senior engineers (while not having to be the decision-maker).</li><li><b>
Eliminate silos.</b> You treat Product and Engineering as a single team, not two functions that coordinate. You bring engineers closer to product and product closer to engineering in how the team plans, decides, and ships, working hand in hand with Product, Design, and UX Research. You ensure context is shared and no critical knowledge sits with just one person.</li><li><b>
Hiring.</b> You&rsquo;ll be deeply involved in engineering hiring: You help close current open roles, assess technical talent, and keep raising the bar as the team grows.</li></ul><b>
Our Tech Stack:</b><ul><li>
Frontend: Typescript, Vue 3, Tailwind, Netlify, GH Actions</li><li>
Backend: Typescript, AWS, NestJS, Prisma, PostgreSQL, REST, Websockets, Terraform, GH Actions</li></ul><p></p><h4 class="jobSectionHeader"><b>
Who we're looking for</b></h4><p>
You're an experienced hands-on people manager with a strong engineering background and a people first mindset who gets more energy from developing others than from solving things yourself.</p><ul><li><b><br>
Prior engineering management experience in a startup.</b> You've managed engineers as an engineering manager (or similar) before, preferably in a Seed/Series A/B or similar environment. You don't need process or hierarchy to get people moving in the right direction.</li><li><b>
Solid engineering foundation.</b> You were a senior IC before moving into management and can credibly assess technical quality, review code with a critical eye, and contribute in architectural discussions - even if the final call sits with someone else.</li><li><b>
Builder of strong engineers.</b> Your former reports got promoted, took on broader scope, or grew into roles that better matched their strengths.</li><li><b>
Proactive and high-energy operator.</b> You bring a naturally organized workstyle and the drive to push a wide range of topics forward at once, from helping a junior write their first solid code to sharpening how your seniors work, without adding bureaucracy.</li><li><b>
Clear communicator.</b> You are fluent in written and spoken English. You communicate clearly across engineering, product, and leadership teams and create alignment through strong written and verbal communication. You are comfortable having clear, honest, and sometimes difficult conversations when needed.</li></ul><br>
Beyond the role-specific requirements, you also see your own values reflected in our Culture Playbook.<p></p><h4 class="jobSectionHeader"><b>
What we offer</b></h4><p></p><ul><li>
A company of co-owners through tax-optimized equity grants.</li><li>
A culture with a focus on transparency, respect, ownership, collaboration and the well-being of each team member on this exciting journey.</li><li>
An environment that values hard-work while still allowing work-life/family integration through 28 days PTO, flexible working hours, workation and a hybrid setup.</li><li>
Dog-friendly office in Berlin with free lunch, besides beverages and snacks as well as a home office budget at start.</li><li>
And more: Annual personal training budget of 1,500&euro; (FTE), Company supported pension Scheme (&rdquo;BAV&rdquo;, 30% contribution), Urban Sports Club Membership, Home Office budget and more.</li></ul></div><p></p>

Engineering Manager (all genders)

Staffbase

<div><div><h3 class="jobSectionHeader"><b>About Staffbase</b></h3>
<p>
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <b>AI-native Employee Experience Platform</b>. Our<b> industry-leading and award-winning agentic AI communications channels</b> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p>
<p>
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience.<br>
We are proud to be a <b>Unicorn</b> company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</p></div><p><b>
Engineering Manager &ndash; Data &amp; Analytics</b></p>
<p>
As Engineering Manager for our Data &amp; Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.</p>
<p>
You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation &mdash; with enough technical grounding to make sound decisions and mentor engineers day to day.</p>
<p><b>
Our environment</b></p>
<ul>
<li>Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</li>
<li>While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</li>
<li>You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</li>
<li>Data governance for AI agents is an emerging and fast-growing priority &mdash; a technically exciting area we're starting to build into</li>
</ul>
<p><b>What you'll be doing</b></p>
<ul>
<li>Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</li>
<li>Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises</li>
<li>Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both</li>
<li>Bring hands-on experience in Data streaming to guide the team through an active transition</li>
<li>Raise the bar on data modeling across the team</li>
<li>Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data</li>
<li>With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed</li>
<li>Build the foundations for AI data governance &mdash; as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data</li>
</ul>
<p><b>What you need to be successful</b></p>
<ul>
<li>Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people</li>
<li>A genuine player-coach mindset</li>
<li>Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams</li>
<li>Solid data modeling skills and the credibility to make it a team-wide standard</li>
<li>Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking</li>
<li>Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership</li>
<li>Comfort operating across both platform and product delivery contexts</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>Experience with data governance for AI agents &mdash; guardrails, access control, and safety considerations for agentic analytics</li>
<li>Familiarity with data lakes, semantic layers, and orchestration tooling at scale</li>
<li>Experience in a product-led B2B SaaS environment</li>
<li>Hands-on streaming experience (e.g. Kafka or Flink)</li>
</ul>
<p><b>What you'll get</b></p>
<ul>
<li><i>Competitive Compensation</i> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li><i>Flexibility </i>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li><i>Recharge</i> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li><i>Support</i><b> </b>-<b> </b>we offer offering a company pension scheme</li>
<li><i>Volunteers Day</i><b> </b>- you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

SKD SE

<div><div><div><div>Berlin, Munich</div><div>
Full-time</div><div>
Permanent employee</div></div></div>
<p></p>
<div><div><h2 class="jobSectionHeader"><b>About Us</b></h2><div><p>
STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective &mdash; providing operators with a decisive edge in contested environments.</p><p>
We are focused on delivering deployable, high-performance systems &mdash; not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today.</p></div></div><div><h2 class="jobSectionHeader"><b>
Your mission</b></h2><div><p>
STARK's autonomous platforms &mdash; aerial and maritime &mdash; operate in contested, high-stakes environments where safety systems must function without exception. As Product Manager for Safety-Critical Systems, you will own the vision, roadmap, and delivery of the systems that make that guarantee possible: from Flight Termination Systems on our UAVs to fire suppression and recovery on our USVs. This is a strategic, high-accountability role at the intersection of systems engineering, cybersecurity, and product &mdash; and the foundation of trust that enables everything STARK ships.</p></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div><ul><li>
Own the product vision, strategy, and roadmap for all safety-critical systems across STARK's UAV and USV platforms</li><li>
Lead product-level contributions to Functional Hazard Analyses (FHA) and Fault Tree Analyses (FTA), translating identified risks into concrete product requirements</li><li>
Serve as the product bridge between cybersecurity and safety engineering &mdash; ensuring cyber threats are embedded as causal factors in safety analyses and mitigation strategies</li><li>
Champion a &quot;Digital Thread&quot; for safety: end-to-end traceability from MBSE-level safety requirements through development, verification, and post-mission analysis</li><li>
Define architectures that are mass-scalable and cost-effective &mdash; not bespoke, one-off solutions &mdash; enabling STARK to deploy safe autonomous systems at scale</li><li>
Collaborate with systems engineers, certification leads, and executive stakeholders to drive design decisions and communicate risk clearly</li><li>
Drive the company's &quot;Digital-First Safety&quot; posture, ensuring compliance with applicable standards (SIL-2/3, DO-178C, IEC 61508) while maintaining architectural resilience against emerging threats</li><li>
Shape STARK's approach to safe agentic autonomy &mdash; ensuring increasingly autonomous behaviour remains deterministic and verifiable</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><ul><li>
Degree (B.Sc. or M.Sc.) in Systems Engineering, Aerospace Engineering, Computer Science, or a closely related technical discipline</li><li>
Proven track record as a Product Manager, Product Owner, or Systems Engineer delivering complex hardware/software systems under rigorous safety or regulatory standards</li><li>
Deep working knowledge of safety standards and methodologies: IEC 61508, DO-178C, DO-254, ISO 26262, FHA, FTA</li><li>
Experience taking a hardware/software product from concept through certification and into field deployment</li><li>
Technical fluency in safety architecture concepts: redundancy topologies (1oo2, 2oo3), dissimilar architectures, real-time operating systems</li><li>
Demonstrated ability to lead cross-functional teams and drive decisions in ambiguous, high-stakes technical environments</li><li>
Eligible to obtain appropriate security clearance for defence work</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div><ul><li>
Experience with Model-Based Systems Engineering (MBSE) and standards such as MOSA or FACE</li><li>
Background in cybersecurity &mdash; particularly in understanding how offensive threat models translate into safety requirements</li><li>
Familiarity with autonomous systems or UAV/USV platforms</li><li>
Experience in a scaling defence-tech or aerospace startup environment</li></ul></div></div></div><br>
<p></p>
<div><h2 class="jobSectionHeader"><b>About us</b></h2><div><b>
SECURITY CLEARANCE</b><br>
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.<br>
<br>
<b>EQUAL OPPORTUNITY</b><br>
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.</div></div></div><p></p>

Product Manager - Safety Critical Systems

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315 product engineering manager jobs In Berlin

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Product Manager - Safety Critical Systems