product engineer

Project Q

<div><h4 class="jobSectionHeader">New Challenge</h4>
Job Advertisement: Software Product Engineer (m/f/d)
Location: Berlin, Munich, Remote (Germany, EU) 
Working Hours: Full-time 
Start Date: Immediately or by arrangement
About Us
Project Q GmbH (&quot;Q&quot;) is a Germany-based DefenceTech company with offices in Berlin and Munich. We network market-available sensors into a tactical IoT backbone that reliably provides armed forces and security agencies with a cross-domain information superiority-automated, scalable, and cost-efficient.
Our solutions integrate seamlessly into existing defence and safety infrastructures, offering fast data fusion and AI-enhanced analytics to deliver robust situational awareness in dynamic environments. We build platform-agnostic systems that enable real interoperability across domains.
As a Software Product Engineer, you'll join a focused, deeply skilled team to help build and extend our European open-core integration infrastructure. This includes Hydris: our integrate once, deploy everywhere, open source orchestration plane. Hydris, and its growing ecosystem of partner integrations, are where heterogeneous real-world systems like radars, AIS receivers, mesh radios, satellite feeds, AI analytics, and C2 platforms become one coherent picture, in conditions that are bandwidth-constrained, intermittently connected, and unforgiving.
What you'll do
This role is broad by design. You'll be trusted to take problems end to end: talk to users, shape what gets built, write the code, ship it, see how it performs, and decide what comes next. Day to day that means core engine work on Hydris in Go and TypeScript, extending it with features that genuinely move the field, and helping grow the ecosystem of certified integrations. It also means collaborating across our tech org and helping build and extend our integrated, software-defined customer solutions. And it means setting technical standards: how we test distributed behavior, how we version protocols, and how we keep an API-first product backward compatible.
Who this is for
You build software systems. You've shipped real products that people rely on, and you can show them to us. You care about building the right thing the right way, and about seeing it through. You want to travel when needed or possible, to be with the user, to understand their needs, and build directly to those. And you do your best work where the decisions are meaningful and the problems are challenging. This is a role that will demand the excellence you challenge others to show in their own work and conduct.
How you work<ul><li>
Self-starting. You don't wait for a perfectly scoped task; your default is to try something and learn from it.</li><li>
Deeply curious. You'll go down the rabbit hole and come back with something the rest of us didn't know we needed.</li><li>
Builder first. You'd often rather have a rough thing in someone's hands this week than a perfect plan for next quarter.</li><li>
Standard-setting. You join a team to raise its bar. People tend to work a little differently because you're in the room.</li></ul>
You should apply if you have<ul><li>
Taken new products from concept to scaling in-market, and lived with the weight of users, edge cases, and keeping it healthy under load.</li><li>
Worked across the full surface: product sense, design instinct, full-stack, deployments, the documentation that empowers other developers, and the long-term maintenance of what you build.</li><li>
Made calls under uncertainty with incomplete information, and owned the outcomes, good and bad.</li><li>
Earned the respect of engineers you respect. The best people you've worked with would take your call.</li><li>
Built a deep, principled, and broadly applicable skill set through substantial work and study.</li><li>
Eligibility to obtain a security clearance.</li><li>
Comfort working confidently in English.</li></ul>
You'd be a great fit with<ul><li>
Experience building secure systems for adversarial or contested environments, including threat modelling, secure-by-design practices, and hardening against real attackers.</li><li>
Experience with geospatial systems, sensor fusion, AI/ML analytics, or track management.</li><li>
Familiarity with defence or ISR data standards like CoT/TAK, ASTERIX, SAPIENT, MIL-STD-2525.</li><li>
Background in networking, mesh architectures, IoT integration, or systems built for contested or degraded communication environments.</li><li>
Experience on developer-facing open-source infrastructure where adoption depends on the quality of the API and documentation.</li><li>
Professional proficiency in German (and extra bonus points for additional European languages).</li></ul>
We Offer<ul><li>
Be a part of our growth story and help build us a leading technology company.</li><li>
A varied and responsible role in a dynamic company.</li><li>
Flat hierarchies and a pleasant working environment.</li><li>
Opportunities for professional and personal development.</li><li>
Flexible working hours and remote work options.</li><li>
Attractive salary and additional benefits.</li></ul>
Have we sparked your interest? Then we look forward to receiving your CV, including your earliest possible start date, at HR [at] project-q.ai. We look forward to meeting you!<h4 class="jobSectionHeader">
About us</h4>
Q is a European defence-tech company pioneering the Internet of Defence with modular, scalable and interoperable sensor and intelligence solutions.</div>

Software Product Engineer (m/f/d)

<div>
 
 New Challenge
 
 
 
 
 Job Advertisement: Software Product Engineer
 
 
 (m/f/d)
 
 
 
 Location: Berlin, Munich, Remote (Germany, EU)
 
 
 Working Hours: Full-time
 
 
 Start Date: Immediately or by arrangement
 
 
 
 About Us
 
 
 
 Project Q GmbH ("Q") is a Germany-based DefenceTech company with offices in Berlin and Munich. We network market-available sensors into a tactical IoT backbone that reliably provides armed forces and security agencies with a cross-domain information superiority--automated, scalable, and cost-efficient.
 
 
 Our solutions integrate seamlessly into existing defence and safety infrastructures, offering fast data fusion and AI-enhanced analytics to deliver robust situational awareness in dynamic environments. We build platform-agnostic systems that enable real interoperability across domains.
 
 
 As a Software Product Engineer, you'll join a focused, deeply skilled team to help build and extend our European open-core integration infrastructure. This includes Hydris: our integrate once, deploy everywhere, open source orchestration plane. Hydris, and its growing ecosystem of partner integrations, are where heterogeneous real-world systems like radars, AIS receivers, mesh radios, satellite feeds, AI analytics, and C2 platforms become one coherent picture, in conditions that are bandwidth-constrained, intermittently connected, and unforgiving.
 
 
 
 What You'll Do
 
 
 
 This role is broad by design. You'll be trusted to take problems end to end: talk to users, shape what gets built, write the code, ship it, see how it performs, and decide what comes next. Day to day that means core engine work on Hydris in Go and TypeScript, extending it with features that genuinely move the field, and helping grow the ecosystem of certified integrations. It also means collaborating across our tech org and helping build and extend our integrated, software-defined customer solutions. And it means setting technical standards: how we test distributed behavior, how we version protocols, and how we keep an API-first product backward compatible.
 
 
 
 Who This Is For
 
 
 
 You build software systems. You've shipped real products that people rely on, and you can show them to us. You care about building the right thing the right way, and about seeing it through. You want to travel when needed or possible, to be with the user, to understand their needs, and build directly to those. And you do your best work where the decisions are meaningful and the problems are challenging. This is a role that will demand the excellence you challenge others to show in their own work and conduct.
 
 
 
 How You Work
 
 
 
 <ul>
 <li>
 Self-starting. You don't wait for a perfectly scoped task; your default is to try something and learn from it.
 </li>
 <li>
 Deeply curious. You'll go down the rabbit hole and come back with something the rest of us didn't know we needed.
 </li>
 <li>
 Builder first. You'd often rather have a rough thing in someone's hands this week than a perfect plan for next quarter.
 </li>
 <li>
 Standard-setting. You join a team to raise its bar. People tend to work a little differently because you're in the room.
 
 
 </li>
 </ul>
 
 You should apply if you have
 
 
 
 <ul>
 <li>
 Taken new products from concept to scaling in-market, and lived with the weight of users, edge cases, and keeping it healthy under load.
 </li>
 <li>
 Worked across the full surface: product sense, design instinct, full-stack, deployments, the documentation that empowers other developers, and the long-term maintenance of what you build.
 </li>
 <li>
 Made calls under uncertainty with incomplete information, and owned the outcomes, good and bad.
 </li>
 <li>
 Earned the respect of engineers you respect. The best people you've worked with would take your call.
 </li>
 <li>
 Built a deep, principled, and broadly applicable skill set through substantial work and study.
 </li>
 <li>
 Eligibility to obtain a security clearance.
 </li>
 <li>
 Comfort working confidently in English.
 
 
 </li>
 </ul>
 
 You'd be a great fit with
 
 
 
 <ul>
 <li>
 Experience building secure systems for adversarial or contested environments, including threat modelling, secure-by-design practices, and hardening against real attackers.
 </li>
 <li>
 Experience with geospatial systems, sensor fusion, AI/ML analytics, or track management.
 </li>
 <li>
 Familiarity with defence or ISR data standards like CoT/TAK, ASTERIX, SAPIENT, MIL-STD-2525.
 </li>
 <li>
 Background in networking, mesh architectures, IoT integration, or systems built for contested or degraded communication environments.
 </li>
 <li>
 Experience on developer-facing open-source infrastructure where adoption depends on the quality of the API and documentation.
 </li>
 <li>
 Professional proficiency in German (and extra bonus points for additional European languages).
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 <ul>
 <li>
 Be a part of our growth story and help build us a leading technology company.
 </li>
 <li>
 A varied and responsible role in a dynamic company.
 </li>
 <li>
 Flat hierarchies and a pleasant working environment.
 </li>
 <li>
 Opportunities for professional and personal development.
 </li>
 <li>
 Flexible working hours and remote work options.
 </li>
 <li>
 Attractive salary and additional benefits.
 
 
 </li>
 </ul>
 Have we sparked your interest? Then we look forward to receiving your CV, including your earliest possible start date, at HR [at] project-q.ai. We look forward to meeting you!
 
 
 
 About Us
 
 
 
 Q is a European defence-tech company pioneering the Internet of Defence with modular, scalable and interoperable sensor and intelligence solutions.
</div>

CLERA

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

Product Engineer (Full-Stack / Agentic AI)

<div><h3 class="jobSectionHeader">About the Role</h3>
We're an early-stage, AI-native startup building a procurement intelligence platform that connects category managers to real-time supplier data and enterprise systems. We're hiring a Founding Engineer to join our small product team on-site in Berlin.
This is a high-ownership role: you'll shape core product areas end-to-end, influence architecture and engineering culture, and ship iteratively with direct customer feedback. As one of the first engineers, you'll work closely with the founding team on major technical and product decisions &mdash; and help define what great engineering looks like as the team grows.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own core product areas end-to-end, from AI agent orchestration to the UI that category managers use daily.</li><li>
Design reliable LLM workflows with evaluation loops, guardrails, and observability that work robustly in production.</li><li>
Build real-time supplier data pipelines, normalization layers, and integrations with enterprise ERP systems.</li><li>
Ship to production regularly and collaborate directly with customers to iterate on real feedback.</li><li>
Make full-stack architectural decisions focused on performance, security, and developer experience.</li><li>
Define engineering culture, tooling, and processes as the team scales.</li><li>
Contribute to the product roadmap alongside the founding team.</li><li>
Mentor teammates and grow toward an engineering leadership path.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Required:<ul><li>
Strong full-stack foundation with equal comfort across interfaces, back-ends, and the seam between them.</li><li>
Proficiency in TypeScript (front-end and back-end) and Python; experience with Next.js and modern API patterns.</li><li>
Hands-on experience designing and operating AI/LLM infrastructure &mdash; retrieval, embeddings, latency/cost/quality trade-offs, monitoring, and safety guardrails.</li><li>
Proven ability to build and ship SaaS products end-to-end in a startup environment.</li><li>
Experience building data pipelines, normalization, and integrations with enterprise systems.</li><li>
Domain knowledge in ERP, procurement, or related enterprise software.</li><li>
Builder mindset: you default to shipping, learning from users, and iterating fast.</li><li>
Comfortable with ambiguity &mdash; able to define what to build as well as how to build it.</li><li>
Strong written and verbal communication skills; ability to work directly with customers and cross-functional teammates.</li></ul>
Nice to Have:<ul><li>
Prior experience in a founding or first-engineer role.</li><li>
Background in procurement, supply chain, or ERP/procurement software specifically.</li></ul>
Important: Candidates must be eligible to work in Germany without employer visa sponsorship. No visa sponsorship is available for this role.<h3 class="jobSectionHeader">
Location</h3>
This is an on-site role in Berlin, Germany. You'll be working alongside the founding team in person day-to-day.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details will be discussed during the interview process. As a founding team member, you can expect a competitive package including meaningful early-stage equity.</div>

Founding Engineer

Cortea AI

<div><h1 class="jobSectionHeader">About us</h1>
We&rsquo;re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment.
Backed by top-tier VCs with &gt;15m funding, with a working product and paying customers, we&rsquo;re rapidly scaling.
We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office.<h2 class="jobSectionHeader">
Your Role</h2>
We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it.
A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works.
Our engineering team is a small, flat group of builders: strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless</li><li>
Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them</li><li>
Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently</li><li>
Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind</li><li>
Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what</li></ul><h2 class="jobSectionHeader">
Qualifications</h2>
You'll fit here if you:<ul><li>
Have 5+ years shipping production web applications across the stack</li><li>
Write production APIs and model the data behind them so it holds up under multi-tenancy and load</li><li>
Are strong on the frontend and can build genuinely complex UI</li><li>
Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals</li><li>
Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster</li><li>
Bring a strong product mindset and real ownership of outcomes</li><li>
Make architectural decisions, weigh trade-offs, and build things other engineers can extend</li><li>
Are comfortable with ambiguity and work things out from fundamentals when there's no established answer</li></ul>
Nice-to-haves that are a plus:<ul><li>
Hands-on experience building agents, harnesses, or eval pipelines</li><li>
Data-dense or workflow-heavy B2B products</li><li>
Scaling multi-tenant systems as data and traffic grow</li><li>
Audit, finance, compliance, or another domain where being wrong is expensive</li><li>
Early-stage startup or fast-moving engineering environment</li></ul>
No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk.<h2 class="jobSectionHeader">
Our tech</h2><ul><li>
React, TS, Tailwind, TanStack</li><li>
Python, Postgres, Temporal, Kafka, Redis</li><li>
GCP, Azure, k8s</li><li>
GitHub, Linear, Slack, Notion</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
High impact &amp; growth: Front-row seat to scaling an AI startup with real ownership from day one</li><li>
Mission-driven culture: First-principles thinking, bold ideas, and a supportive team</li><li>
Attractive compensation: competitive salary + meaningful equity</li><li>
Personal development: Learning budget for courses and conferences</li><li>
True Berlin startup environment: Central Berlin office, team lunches, retreats, flexible vacation</li></ul><h1 class="jobSectionHeader">
Interview process</h1><ul><li>
First Call &mdash; Intro to Cortea with our Founders Associate Liza</li><li>
Second Call &mdash; Technical interview with our Member of Technical Staff Jendrik</li><li>
Third Call &mdash; Deep dive into our culture with our Co-Founder Philipp</li><li>
On-site Half-Day (Berlin) &mdash; Meet the team and work on a real problem together</li></ul></div><div></div>

Senior/Staff Fullstack Engineer (m/f/x)

autarc GmbH

<div><h4 class="jobSectionHeader">Company</h4>
Founded in Berlin, autarc is a ~40 person start-up who were part of Y Combinator&rsquo;s S24 batch in San Francisco. Our team consists of people in Sales, Tech and Operations, with the Engineering &amp; Product department currently ~20 people, as we continue to grow throughout the year.<h4 class="jobSectionHeader"> 
Role description</h4>
We're looking for a Product Manager to work in one of our key product teams in building the leading OS for Europe's heat pump and solar workforce.<div> 
You'll work alongside a team that consists of a Machine Learning Engineer, Software Engineers and an iOS Engineer, helping shape and maintain our product roadmap, run planning sessions and sprint preps with team leads, manage tickets in Linear and open Cursor to ship stuff yourself.</div><div></div><div> 
We're always looking to build the next generation product and with a clear vision to become the agentic OS for the workforce behind the energy transition, that includes leveraging LLMs and NLP in building an AI voice agent to increase efficiencies.</div> 
Other responsibilities will be as follows: 
<ul><li>
Support leadership in shaping and prioritising the product roadmap</li><li>
Run product discovery alongside our teams through direct customer engagement</li><li>
Manage product operations in Linear: triage, prioritisation, sprint hygiene</li><li>
Build and ship features or prototypes directly using AI-assisted development tools (Lovable, Figma, Cursor, Copilot)</li><li>
Facilitate planning sessions with product teams and sprint preps with engineering leads</li><li>
Represent autarc in customer calls, sales meetings, and training sessions</li><li>
Work alongside our Engineers in building and shipping material</li></ul>
This is a Product Manager position but as the landscape of the industry shifts, we also expect you to build and tangibly contribute on a day-to-day basis.<h4 class="jobSectionHeader">
Requirements</h4><ul><li>
2-5+ years of experience as a Product Manager</li><li>
Exposure to working in B2B SaaS</li><li>
AI-native in working with tools to help you run faster and jump higher</li><li>
Experience having worked in an AI-first team/company</li><li>
Track record in conducting user interviews and product discovery</li><li>
A desired obsession to go deep AI, Machine Learning and Computer Vision</li><li>
Berlin-based and willing to work hybrid</li><li>
Native German speaking</li></ul><h4 class="jobSectionHeader">
What we offer</h4><ul><li>
Freedom to choose your own equipment (within a budget)</li><li>
26 paid vacation days</li><li>
An annual team retreat</li><li>
The choice between Dance or JobRad for mobility</li><li>
The choice between Classpass or Urban Sports Club for fitness</li><li>
Regular team events, lunches and activities</li></ul><h4 class="jobSectionHeader"> 
Next steps</h4>
If your application is successful, you will participate in the following: 
<ul><li>
Screening call with Louis (Recruiter)</li><li>
Culture fit call with an Engineer</li><li>
Take home case study/exercise</li><li>
Final on-site interview with Etienne (CEO) and the team</li></ul><h4 class="jobSectionHeader">
About us</h4>
Right now, 25% of CO2 emissions in Europe are caused by heating our buildings. In order for this to be reduced, the transition towards renewable energy needs to be simplified and made more accessible. There are too few installers to meet the growing demand for heat pumps, and a solution to match this trend needs to be brought to the market. 
autarc is developing the leading operating system (OS) for heat pump installers, enabling a more digital and efficient installation process for heat pumps. 
Through this, autarc is reducing the hurdles to decarbonizing single-family homes and small apartment buildings in Europe, with the goal to help with the planning and designing of 1 million heat pumps by 2030.</div>

Product Manager (AI)

Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

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. 
We are proud to be a Unicorn 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.</div>
As a Staff Engineer in our Data &amp; Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.
<h2 class="jobSectionHeader">
Our environment</h2>
<ul><li>Work alongside skilled, data-passionate engineers in a team that values collaboration</li>
<li>A flexible, agile environment with a strong focus on work-life balance</li>
<li>You will have real ownership and influence over data architecture</li>
<li>We are building toward a distributed, self-service data platform model &ndash; you will help shape how that evolves.</li>
<li>Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.</li>
</ul><h2 class="jobSectionHeader">What you'll be doing</h2>
<ul><li>Drive the technical direction of our data platform &ndash; leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders</li>
<li>Support and develop a team of 4&ndash;5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.</li>
<li>Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance &ndash; building a solid base for AI and analytics features</li>
<li>Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing</li>
<li>Apply and advance strong data modeling practices across the platform.</li>
<li>Prioritize and mediate effectively with product stakeholders &ndash; advocating for the right technical decisions and sequencing of work</li>
<li>Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership</li>
<li>Collaborate across the broader staff engineering community on cross-cutting architectural decisions</li>
</ul><h2 class="jobSectionHeader">What you need to be successful</h2>
<ul><li>Proven experience at Staff Engineer level or equivalent in a data engineering context</li>
<li>Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.</li>
<li>Experience with streaming technologies (e.g. Kafka) &ndash; hands-on exposure is a strong plus</li>
<li>Solid data modeling skills and the ability to raise this as a team-wide standard.</li>
<li>Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.</li>
<li>Python proficiency and comfortable working across a modern data stack</li>
<li>Strong stakeholder management and communication skills &ndash; you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams</li>
<li>A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.</li>
<li>Leadership experience or ambition: you are comfortable guiding engineers and driving delivery</li>
</ul><h2 class="jobSectionHeader">Nice to have</h2>
<ul><li>Experience with data governance for AI agents &ndash; understanding guardrails, access control, and safety considerations for agentic analytics.</li>
<li>Prior exposure to self-service data platform models and distributed data ownership strategies.</li>
<li>Experience in a product-led SaaS environment.</li>
</ul>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - 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>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Staff Engineer, Data & Analytics

Explore 131+ Product engineer in Berlin this July. Find roles across top companies and apply now to boost your career.

131 product engineer jobs In Berlin

Software Product Engineer (m/f/d)

Software Product Engineer (m/f/d)

Product Engineer (Full-Stack / Agentic AI)

Founding Engineer

Senior/Staff Fullstack Engineer (m/f/x)

Product Manager (AI)

Staff Engineer, Data & Analytics