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senior product manager core classified listing import products

SPREAD GmbH

<div><h4 class="jobSectionHeader"><b>Short Description</b></h4><p>
SPREAD builds engineering intelligence for the world's most complex products. Our AI-native platform gives automotive OEMs, defense primes, and industrial manufacturers a single source of product truth so engineering teams can make confident product decisions, fast. We work with companies like Volkswagen, BMW, Mercedes, Bosch, Stadler, and Rheinmetall. Backed by HV Capital, DTCP, La Famiglia / General Catalyst, and Salesforce.<br>
<br>
In this role, you own how SPREAD is positioned, messaged, and understood by engineering leaders at enterprise accounts. You translate a deeply technical product into narratives that win deals, arm Sales with competitive intelligence and enablement assets, and partner with Product and Engineering on go-to-market. This is a hands-on role in a small, senior marketing team alongside Growth, GTM Ops, and Design.</p><h4 class="jobSectionHeader"><b><br>
Your Mission</b></h4><p></p><ul><li>
Own positioning and messaging for SPREAD's platform, turning engineering intelligence into value propositions that land with top engineering leaders.</li><li>
Build and maintain competitive intelligence across the PLM and engineering data landscape and turn it into battle cards and objection-handling guides that Sales uses daily.</li><li>
Create sales enablement assets that shorten enterprise sales cycles and improve win rates.</li><li>
Partner with Product and Engineering on go-to-market for product releases, connecting every launch to a measurable customer outcome.</li><li>
Develop thought leadership content that builds credibility with deeply technical audiences.</li><li>
Partner with Growth and GTM Ops on campaign messaging and account targeting so demand gen speaks the right language to the right pain points.</li><li>
Represent SPREAD at industry events and customer conversations where engineering leaders expect a peer-level discussion about their domain.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your Experience
</b></h4><p></p><ul><li>5+ years in B2B product marketing or technical product management for enterprise software or complex technical products, with hands-on ownership of positioning, messaging, and go-to-market.</li><li>
Technical fluency through an engineering or technical degree, or through deep experience managing or marketing highly technical products. You can hold a credible conversation about data architectures, PLM tool landscapes, or software-defined product development.</li><li>
Experience building sales enablement for complex enterprise deals (&euro;100K+ ACV, 6-12-month cycles, multi-stakeholder buying committees).</li><li>
Strong competitive intelligence instinct. You track competitors, articulate differentiation in the buyer's language, and prepare sales teams for live objection handling.</li><li>
AI-native working style. You use AI tools daily to scale your output, from content creation to research to workflow automation. SPREAD is an AI-first company, and every team member operates accordingly.</li><li>
Identity as a product marketer. You partner with Product and Engineering, you speak their language, but your craft is marketing, not roadmaps or feature specs.</li><li>
Native or near-native English. Working-level German minimum. If German is your native language, strong English is sufficient.</li><li>
Based in Berlin or close enough for regular in-office collaboration, especially during the first months.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Why SPREAD?</b></h4><p></p><ul><li>
Work on Agentic Engineering Intelligence that helps leading manufacturers master software-defined complexity. You market technology that engineering leaders genuinely care about.</li><li>
High ownership and measurable impact. You connect your positioning directly to deal outcomes and pipeline.</li><li>
A senior team that values craft, speed, and accountability over process and hierarchy.</li><li>
Strong overall package including attractive compensation and an annual learning budget.</li><li>
Mobility and wellbeing support through a Deutschlandticket mobility budget, bike-leasing and an Urban Sports partnership.</li><li>
Time off and flexibility with 30 vacation days, workation options, and one paid volunteering day per year.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Contact</b></h4><p><b>
Dmytro İefymenko</b><br>
recruiting@spread.ai<br>
<br>
SPREAD AI<br>
K&ouml;penicker Str. 40c | 10179 Berlin<br>
<br>
Stay connected&mdash;follow us on LinkedIn for the latest insights and updates</p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
SPREAD is pioneering <b>Agentic Engineering Intelligence</b>. Our low-code platform transforms fragmented hardware and software product data into dynamic <b>Product Twins</b>, creating an AI-ready knowledge base that powers smarter decisions and automation across the entire product lifecycle.<br>
At the heart of our technology lies the world&rsquo;s first <b>Universal Engineering Information Model (EIN)</b> &mdash; a semantic framework that connects domain-specific and lifecycle data into a federated <b>Engineering Intelligence Graph</b>, continuously evolving over time. This foundation enables specialized AI agents to execute tasks like compliance checks, dependency analysis, and specification generation &mdash; seamlessly integrated into the tools engineers already use.<br>
The impact is tangible: companies using SPREAD achieve up to <b>10x faster time-to-market</b>, <b>50% lower lifecycle costs</b>, and <b>significantly higher product quality</b>.<br>
Industry leaders such as <b>Volkswagen, Mercedes-Benz, BMW, Audi, Rheinmetall</b>, and others rely on SPREAD to build the next generation of software-defined products.<br>
Headquartered in Berlin, SPREAD delivers <b>enterprise-grade security</b> (ISO 27001 &amp; TISAX), full <b>GDPR compliance</b>, and flexible deployment options &mdash; in the cloud or on-premises.<br>
<br>
<b>Our Vision</b><br>
The future of engineering is <b>data-driven and agentic</b>. We make product data the most accessible, intuitive, and impactful resource in engineering &mdash; so that engineers can unleash their full creativity and drive innovation at scale.</p></div>

Senior Product Marketing Manager (f/m/d)

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

Zalando

<div><div>Ort</div><div>
Germany - Berlin</div><div>
Vertrag</div><div>
Full time</div><div>
Job-Kategorie</div><div>
Applied Science &amp; Research</div></div>
<br><div><div><p><b>Junior Applied Scientist (all genders) - B2B Data Science and Algorithms</b></p><p></p><p>
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner&rsquo;s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfillment experience, and we see that to do this, Machine Learning, Operations Research, and data-driven solutions will play a pivotal role.</p><p></p><p>
We are seeking a highly motivated Junior Applied Scientist who is fueled by the desire to kickstart their career by building innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an established team of Senior Applied Scientists and Machine Learning Engineers, working in a cross-functional setup with Product Managers, Data Engineers, and Software Engineers.</p><p></p><p>
The team&rsquo;s focus is helping our B2B partners improve inventory health and order fulfillment efficiency. With guidance and mentorship from senior team members, you will contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems. You will play a key role in a cross-functional team where your eagerness to learn and grow will directly translate into value for our partners!</p><p></p><p><b>
WHY YOU SHOULD BE INTERESTED&hellip;</b></p><ul><li><p>
Learn and Impact from Day One: You won't be stuck doing busywork. You will be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions. Your fresh perspective will help identify new opportunities to create value for our partners.</p></li><li><p>
Tackle Complex Scientific Problems with Expert Guidance: This is your chance to bridge the gap between academia and industry. You'll tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems while receiving the mentorship needed to succeed.</p></li><li><p>
Explore Emerging Tech like Agentic AI: As we explore opening up MCP servers to our partners, you will assist in defining how we measure their performance. You will contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably.</p></li><li><p>
Grow into End-to-End Ownership: You will have the opportunity to follow ideas from initial research and prototyping to production. You will learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs.</p></li><li><p>
Drive Impact at a Multi-Merchant Scale: Your contributions will help build platform-level services that scale across hundreds of diverse partners, shaping the future of a more sustainable and efficient e-commerce logistics network.</p></li></ul><p><b><br>
WE&rsquo;D LOVE TO MEET YOU IF&hellip;</b></p><ul><li><p>
Educational background in a quantitative field; Masters degree or higher preferred.</p></li><li><p>
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems.</p></li><li><p>
A solid theoretical foundation and practical exposure in at least one of the following areas:</p></li><li><p>
Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers).</p></li><li><p>
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations).</p></li><li><p>
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing).</p></li><li><p>
Agentic AI &amp; MCP evaluation frameworks</p></li><li><p>
Proficiency in SQL and Python, with some exposure to working with datasets.</p></li><li><p>
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders.</p></li><li><p>
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions.</p></li><li><p>
You thrive in our team's core value: &ldquo;High Challenge, High Support&rdquo;! We cherish an open, direct feedback culture and are here to help you develop into a world-class scientist.</p></li></ul><p></p><p><b>
INCLUSIVE BY DESIGN</b></p><p></p><p>
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.</p><p>
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.</p><p>
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion</p><p></p><p><b>
OUR OFFER</b></p><ul><li><p>
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.</p></li><li><p>
Employee shares program</p></li><li><p>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</p></li><li><p>
2 paid volunteering days per year</p></li><li><p>
27 days of vacation a year to start for full-time employees</p></li><li><p>
Family services, including counseling and support</p></li><li><p>
Health and wellbeing options (including Wellhub, formerly Gympass)</p></li><li><p>
Mental health support and coaching available</p></li><li><p>
Drive your development through our training platform and biannual peer-to-peer review</p></li></ul></div><div><b>
Recruiter</b><p>
Casimir Udegbunam</p><p>
casimir.udegbunam@zalando.de</p></div><div><p>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.</p><p>
In einigen F&auml;llen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich f&uuml;r eine Stelle zu bewerben oder an einem Vorstellungsgespr&auml;ch teilzunehmen.</p></div></div><p></p>
<br><div></div><div><div><div><h2 class="jobSectionHeader"><b>&Uuml;ber </b><b>Zalando</b></h2><p>
Zalando wurde 2008 in Berlin gegr&uuml;ndet und ist die f&uuml;hrende europ&auml;ische Technologieplattform f&uuml;r Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 M&auml;rkten. Unser Gesch&auml;ft basiert auf einer einzigartigen, KI-gest&uuml;tzten Daten- und Infrastrukturplattform. F&uuml;r unsere Kund*innen bietet unser Multi-App-Ansatz &ndash; bestehend aus Zalando, ABOUT YOU und Lounge by Zalando &ndash; ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. F&uuml;r unsere Partner bauen wir das Betriebssystem f&uuml;r den E-Commerce. &Uuml;ber ZEOS, Tradebyte und SCAYLE &ouml;ffnen wir unsere Logistik-, Software- und Servicekapazit&auml;ten f&uuml;r Marken und Einzelh&auml;ndler*innen zur nahtlosen, grenz&uuml;berschreitenden Skalierung ihres Gesch&auml;fts.</p></div></div></div>

Junior Applied Scientist (all genders)

legartis technology AG

<div><h4 class="jobSectionHeader"><b>Description</b></h4><p></p><p>
Legartis is on a mission: <b>to unlock legal work at scale.</b></p><p>
We have already set the standard for AI-powered contract review, helping teams work with greater precision than ever before. But that is just the beginning. We are building a holistic platform that goes far beyond review - connecting people, ideas, and knowledge to fundamentally change how legal teams operate.</p><p><b>
When you join Legartis, you don&rsquo;t just take a job - you take ownership. </b>We are a team of product builders and legal experts who believe that true problem-solving requires more than just code; it requires a thoughtful process. We don't chase hype; we build substance. If you&rsquo;re a tech savvy product marketer who understands the audience and fuels growth through product marketing, this is your opportunity to make a significant impact in an emerging industry.</p><p>
Ready to build great things together?</p><p><i>
Please submit your CV along with a Cover Letter outlining your Ambition to join Legartis. Applications without a Cover Letter will not be accepted.</i></p><p></p><h4 class="jobSectionHeader"><b><br>
Your mission</b></h4><p></p><p><b>
You shape how Legartis wins in the market:</b></p><ul><li><p><b>
Make our products clearly differentiated and highly competitive</b> - by developing and continuously sharpening positioning and messaging across our portfolio.</p></li><li><div><b>
Drive go-to-market strategy and execution</b> for launches, expansion, and adoption - from plan to impact.</div></li><li><div><b>
Find market opportunities others miss</b> - deep knowledge of our ICP, competitive landscape, and buyer needs isn't just insight work, it's how you shape what we build and how we sell it.</div></li><li><div><b>
Arm every team to win</b> - create the assets, narratives, and enablement materials that make Sales, Marketing, and CS more effective.</div></li><li><div><b>
Feed product strategy with market truth</b> - bring customer and competitive intelligence back to the product team so we build what matters.</div></li><li><p><b>
Work across the company, not in a silo</b> - you sit in Product, but your influence reaches Marketing, Sales, and leadership.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li><div><b>
4+ years</b> in marketing, growth, product marketing, or product management at a SaaS company. Creativity matters more than a traditional background.</div></li><li><div><b>
Proven strategist: </b>demonstrated success creating and executing marketing strategies.</div></li><li><div><b>
Storyteller:</b> you craft compelling materials about complex AI products for non-technical audiences.</div></li><li><div><b>
Clear communicator:</b> exceptional written and verbal communication with a strong visual sensibility.</div></li><li><div><b>
Impact-driven:</b> comfortable with experimentation and interpreting both quantitative and qualitative data.</div></li><li><div><b>
AI-savvy: </b>crafty with AI tools and automations &mdash; you use them daily and keep exploring what's new.</div></li><li><div>
Fluent in <b>English</b> and <b>German</b>.</div></li><li><div><b>
Nice to have:</b> previous experience in legal tech.</div></li><li><div>
You are warm, pragmatic, and naturally curious. You ask the right questions, communicate clearly, and have a bias toward action. You are a true team player who elevates the people around you.</div></li></ul><p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><p></p><ul><li><p>
Shape the future of Legal Tech in an emerging market building an impactful AI product.</p></li><li><div>
Opportunity to work self organised and add to technology as well as features.</div></li><li><div>
Work with a talented and dedicated team of researchers and engineers. Here you can make an impact and grow professionally.</div></li><li><div>
Competitive salary and participation of the Employee Stock Ownership Plan (ESOP).</div></li><li><div>
Modern office in Leipzig with at least 2 days per week in the office or hybrid in Berlin.</div></li><li><p>
Regular team events in Zurich, Leipzig and offsite like restaurant testing, hiking and more.</p></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Process</b></h4><p></p><p>
Our process is built on respect and transparency:</p><ul><li>
30 min. interview with People &amp; Operations Manager (cultural fit): Have a chat to get an understanding of Legartis and the role you are interested in. We in turn want to get to know you and your expectations of your next challenge.</li><li>
20 min. interview with Head of Product (professional fit): Understand the professional requirements for this position better, as well as your future tasks and team setup.</li><li><div>
1h interview with Product and Marketing teams (case study): To demonstrate your abilities, you have an in-depth interview with our product team. You showcase your abilities by presenting a real life use case in product marketing.</div></li><li><div>
Additional interviews: Meet the team you would be working with and take the opportunity to pose any remaining questions. One meeting will be in our Leipzig office to meet the team in person and get to know the work place.</div></li><li><p>
Decision is made: If we&rsquo;re considering each other to be the right fit, you are welcomed by the Legartis team!</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
We are Legartis, a LegalTech company that is changing the way contracts are reviewed and analyzed today. Our SaaS solution uses artificial intelligence to automate contract review for legal departments and law firms. We are a growing and ambitious team on a mission to eliminate repetitive tasks in everyday legal work. Since our founding in 2017, we have won various awards such as the Swiss Fintech Awards, been listed as a Top100 startup in Switzerland and named by Forbes as one of the best AI startups in the DACH region.</p></div>

Product Marketing Manager (Berlin)

Moss

<div><p><b>At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.</b></p><p><b>
Our team and culture make us unique &mdash; we&rsquo;re driven by impact and growth, where every one of us strives to learn and excel. Recognised by </b><b>Sifted&rsquo;s Rising 100</b><b> and </b><b>LinkedIn's Top Startups</b><b>, we&rsquo;re here to help propel your career and together, make Moss a lasting success.</b></p><p>
We&rsquo;re expanding our Data &amp; AI team and looking for a senior/lead contributor who has hands-on LLM app/agent experience and is fluent in classical ML. You&rsquo;ll own end-to-end LLM/ML initiatives - from problem framing and modeling to evaluation, deployment, and iteration - directly improving core product workflows (invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist).</p><p></p><p><b>
Your responsibilities</b></p><ul><li><p>
Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations.</p></li><li><p>
Define evaluation &amp; monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking.</p></li><li><p>
Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders</p></li></ul><p></p><p><b>
About you</b></p><ul><li><p>
5-10+ years in applied ML with production ownership of shipping models/systems.</p></li><li><p>
Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production.</p></li><li><p>
Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills.</p></li></ul><ul><li><p>
Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building.</p></li><li><p>
End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies</p></li></ul><p><b>
About Moss</b></p><p>
Moss is a SaaS scale-up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe.</p><p>
Our ambition is bold: to power every SMB&rsquo;s spend across Europe - fully digital, AI-driven, and seamlessly integrated for complete control. To date, over 5000 businesses in Germany, Netherlands and the UK use Moss&rsquo; leading spend management product, with modules such as corporate cards, accounts payables, employee cash reimbursements and procurement.</p><p>
Moss has raised a total of &euro;180 million in funding and is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A-Star.</p><p>
Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We&rsquo;re a place where you can fast track your career - here's <b>what else to expect:</b></p><ul><li><p>
Top-of-market compensation package, including equity.</p></li><li><p>
Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.</p></li><li><p>
Additional benefits include: 20 days &ldquo;work from abroad&rdquo;, 600EUR/GBP Learning &amp; Development Budget, and other local benefits.</p></li></ul><p><i>
Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).</i></p><p><b><i>
By applying for the above position, you will confirm that you have reviewed and agreed to our </i></b><b><i>Data Privacy Policy</i></b><b><i>.</i></b></p></div>

Senior Data Scientist (f/m/d)

Axel Springer SE

<div><b>Company Description</b><p><br>
Join a team that builds and evolves the technical foundation for our premium subscription business across multiple brands. Together, we create scalable solutions for acquisition, checkout, payments, entitlements, and partner integrations, combining engineering excellence with business impact. As a Senior/Staff Engineer, you will help shape architecture, drive technical improvements, and contribute to systems that enable sustainable growth and exceptional user experiences.<br>
<br>
We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and our compass in our commitment to freedom.</p><b><br>
Job Description</b><br>
<ul><li>
own and evolve the technical foundation of our Authentication &amp; Profile domain across account creation, login, registration, single sign-on, profile data, and secure access to user information</li><li>
design, build, and operate scalable full-stack services that enable millions of users to access our brand products and premium content reliably across all channels</li><li>
shape the future of our identity platform by improving security, user experience, performance, and maintainability across authentication and profile-related services</li><li>
challenge existing systems and drive well-founded improvements that reduce complexity, increase reliability, strengthen data security, or unlock better product and business outcomes</li><li>
work closely with product, engineering, security, data, and business stakeholders to turn authentication, profile, and user data requirements into pragmatic technical solutions</li><li>
design and improve APIs, service architectures, frontend integrations, and data access patterns used by internal services across our multi-brand ecosystem</li><li>
build and operate cloud-native infrastructure on AWS with serverless architectures, CI/CD, observability, infrastructure automation, strong production ownership, and hands-on mentoring</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
10+ years of software engineering experience with strong expertise in full-stack development, distributed systems, and cloud-native architectures</li><li>
strong hands-on production experience with Java as a primary language, ideally combined with TypeScript and modern web technologies</li><li>
deep experience building and operating scalable applications on AWS, particularly with AWS Lambda, serverless architectures, CI/CD, observability, and infrastructure automation</li><li>
solid understanding of modern software architecture, APIs, distributed systems, security, resilience, and high-availability web applications</li><li>
experience with authentication, identity, single sign-on, user profiles, secure data access, privacy, or security-sensitive product domains</li><li>
strong ability to work across the stack, including backend services, frontend integrations, and the user-facing flows that connect them</li><li>
pragmatic, analytical mindset with strong English and German communication skills, confident AI tool usage, and curiosity for technologies such as Go or Rust where they add value</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills</li><li>
Employee offers that suit you and your life situation: Whether it's a discounted public transport ticket or JobRad leasing, a bicycle garage (incl. regular bicycle service), childcare facilities or two modern in-house kindergartens</li><li>
30 days vacation plus 10 days work from abroad</li><li>
our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens</li><li>
we offer guidance on the administrative side of relocation and visa processes through our relocation agency</li><li>
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working</li><li>
from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer-neubau.de/</li></ul><div></div><p>
The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq<br>
<br>
Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.<br>
<br>
You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde</p></div>

Senior / Staff Fullstack Developer – Authentication & Profile

Xenon7

<div><p><b>About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><p>
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional <b>AI &amp; ML Professionals </b>ready to solve real-world problems and shape the future of intelligent systems.</p><p></p><p><b>
Location:</b> Remote (Europe - CET)<br>
<b>Experience:</b> 5+ Years</p><p><b>
Project Duration:</b> ~ 2 months (B2B contract)<br>
<b>Availability:</b> Immediate Joiner</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking a visionary and highly skilled <b>Senior Data Scientist</b> to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.</p><p></p><ul><li><b>
Architect Document Intelligence Solutions:</b> Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li><b>
Develop LLM &amp; Retrieval Systems:</b> Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li><b>
End-to-End ML Pipelines:</b> Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li><b>
Bridge Chemistry &amp; AI:</b> Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li><b>
Cloud Architecture &amp; Deployment:</b> Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li><b>
Cross-Functional Collaboration:</b> Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li><b>
Professional Experience:</b> 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li><b>
Domain Expertise:</b> A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li><b>
Core Technical Stack:</b> Advanced proficiency in <b>Python</b> and deep hands-on experience with the <b>AWS cloud stack</b> (e.g., SageMaker, Lambda, S3, EC2).</li><li><b>
Generative AI &amp; Search:</b> Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and <b>vector databases</b> (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li><b>
ML/DL Mastery:</b> Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Document Processing (Plus):</b> Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li><b>
Soft Skills:</b> Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul><br>
<b>
Benefits</b><p><br>
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.</p><ul><li>
<b>Ecosystem of Opportunity:</b> You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
<b>Collaborative Environment: </b>Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
<b>Flexible &amp; Impact-Driven Work: </b>Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
<b>Talent-Led Innovation: </b>We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

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