
Packmatic · Berlin
We are digitalising one of Europe’s largest and most heavily regulated industries. The packaging industry has a market volume of several hundred billion eur...
We are digitalising one of Europe’s largest and most heavily regulated industries.
The packaging industry has a market volume of several hundred billion euros and is under enormous pressure to act due to new
regulations such as PPWR, EPR and EUDR.
With Packa, we have built the first end-to-end SaaS platform for intelligent packaging management – in high demand, well-funded
and growing fast.
UNSERE MISSION We are traide AI, a industry groundbreaking, VC-backed, B2B startup powered by AI (we did AI long before the hype). Our exceptional revenue growth over the pasts years positions us at the brink of a significant expansion phase. We're building the definitive "global trade compliance intelligence platform" — going far beyond tariff classification to cover the full breadth of trade compliance, including tariff classification, export control classification, and much more, all fully powered by (artificial-) Intelligence. We're already transforming the landscape of international trade. Our product, team, and vision have already convinced prestigious partners like PwC, and our customer base includes industry juggernauts such as Siemens, everyday industry heroes like Würth, alongside other notable figures in industry. We are rapidly solidifying our leadership position within the EU while eyeing global expansion. AI is deeply embedded in the DNA of our company, reflected in the extensive AI expertise of our founders, the culture within our company and team, and our proven track record of developing and commercializing AI while delivering real business value with AI-centered features. This role aims to strengthen our AI DNA, enabling us to further execute our vision and mission. If you are an exceptional individual and feel that you would be a great fit for our compact yet highly skilled team, let us know about you. We would be delighted to hear from you! DEINE AUFGABEN As an AI Engineer, you’ll collaborate closely with our product and tech team to develop innovative features that address customer needs and drive business impact. In this role, you'll engage in: * Research & Experimentation: Research and delve into cutting-edge AI techniques, prototype novel ideas, and rigorously validate concepts through experiments and metrics. * End-to-End Development: Transform research insights into production-ready features through careful planning, prototype development, quality assurance, and seamless integration of AI functionalities. * Problem Solving & Innovation: With a curious and analytical mindset, you’ll ask the deeper “why” questions to uncover root problems, explore creative solutions, and bring them to life. * Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use. While you’ll take on significant responsibility, you’re never alone. You can rely on a supportive team where knowledge-sharing and mutual growth are core values. NACH WEM WIR SUCHEN * Minimum of 5 years of professional experience in: Data-Sience, Machine learning, Deeplearning, Generative AI & AI-Agents. With a proven track record of developing and deploying AI-driven solutions in production environments. Focus is especially on bridge from prototype to bring it into production. * Strong Software-Engineering OR Data-Science background. Have a Bachelor’s degree in Computer Science, Software Engineering or comparable experience. * Strong analytical, logical reasoning, skills with a creative approach to problem-solving. * Willingness to learn new technologies, work within uncertainties and adapt to changing requirements. * Communication skills, collaborative attitude and ability to work effectively within a diverse team. WARUM WIR? So, why choose traide AI? On the product side * Meetings and processes kept to a minimum and focus on getting things done (Kanban Style). * We value clean and well-tested code and ship features only once they are up to standard * Modern tech stack with the opportunity to shape future decisions: React + Chakra-UI, Node.js + GraphQL, Python + Pytorch, LLM/Generative AI and more In the organization ✔️ traide AI is a place where you can be your authentic self! ✔️ We are creators, not rule followers. In our open culture, ideas take precedence over hierarchies, truth finding is essential ✔️ Our work culture is flexible and grounded entirely in trust and integrity, where everyone strives to grow & learn ✔️ And the cherry on top? Our offices are the coolest around – our cozy Berlin office is conveniently located at Rosenthaler Platz and offers fantastic lunch spots. We look forward to receiving your application and getting to know you better If you have any questions, just email us.
At Superchat, we're rebuilding how businesses talk to their customers. The phone call, the contact form, the support ticket: all of it is being replaced by messaging and AI. We're building the platform that runs underneath. Founded in 2020, Superchat has become the platform of choice for 10,000+ businesses worldwide, from globally recognized brands like Allianz, Auto1, Enpal, Danone, and GASAG to the small businesses, dental practices, and one-person startups that need to look bigger than they are. Today, millions of messages flow through Superchat every single day. We started as a unified inbox: one place for every channel a customer might pick, WhatsApp, email, SMS, Instagram. Then ChatGPT happened, and the second chapter began: AI agents that respond across chat, email, and voice at the quality of the best human teams. We're 100 people, profitable, and have raised €18M in funding (last round 4.5 years ago, we've been growing on our own money since). Headquartered in Berlin. We're hiring an Engineering Manager to lead one or more squads. You'll partner directly with the CTO to develop engineers, ship reliable software, and shape how our team works as we scale. WHO WE WANT Experienced engineering people manager. You bring 3–5+ years of people management experience in software engineering, ideally in B2B SaaS environments. Strong delivery leadership. You have a track record of leading squads of 5-10 engineers through full product and delivery cycles. Technically credible. You come from a strong technical background as a backend or full-stack engineer (former Senior Engineer or equivalent). You read code comfortably, engage on server-side architecture and trade-offs, and contribute meaningfully to technical discussions about the systems your squads own. Backend experience in Java/Kotlin is a plus, since our backend runs on Kotlin/Quarkus. Builder of strong engineers. Your former reports got promoted, took on broader scope, or grew into roles that better matched their strengths. Strong hiring instinct. You have experience hiring engineers and successfully closing high-quality candidates. Comfortable with difficult conversations. You are comfortable having clear, honest, and sometimes difficult conversations when needed. Clear communicator. 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. WHO WE DON’T WANT Pure delivery manager. You treat engineering as a ticketing operation focused only on timelines and task tracking instead of product quality, technical health, and team growth. We need engineering leaders, not project coordinators. Engineer escaping into management. You moved into management mainly to stop coding rather than because you genuinely enjoy leading, coaching, and developing people. This role requires a real interest in people leadership, not retreating from technical work. Top-down architecture owner. You want to personally own architecture decisions alone instead of enabling strong technical ownership within engineering teams. Engineers own architecture decisions - you participate, challenge, and sponsor the right investments. First-time people manager. You are entering engineering management for the first time and have not yet experienced leading teams through performance, hiring, and scaling challenges. We’re looking for someone who has already managed engineering teams successfully. Remote-only operator. You prefer fully remote work and don’t want to actively build relationships and culture in person with the team. We believe strong engineering leadership requires regular in-person collaboration and presence in Berlin. YOUR DAY TO DAY * You run weekly or bi-weekly 1:1s with each of your direct reports to support growth, alignment, and execution * You lead growth conversations and performance reviews - including development planning, quarterly check-ins, and calibration sessions with peers and the CTO * You work closely with PMs and senior engineers on cycle planning, scoping, prioritization, dependencies, and team capacity * You actively participate in architecture and tech debt discussions - challenging decisions, supporting strong technical direction, and sponsoring long-term investments * You play a key role in hiring - from interviewing and feedback to debriefs and closing strong candidates * You collaborate closely across squads with other Engineering Managers and the CTO to maintain alignment and execution quality * You handle difficult conversations directly and thoughtfully - including performance issues, conflicts, and compensation discussions, with support from the CTO where needed STAKEHOLDERS CTO: Your manager and partner on people development, calibration, technical direction Direct Reports: Engineers in your squad(s); you own their development, performance, and growth Product Manager(s): PMs own what and why; you own how (delivery) and who (people) People Ops: Partner on compensation and processes WHY PEOPLE CHOOSE US Mission that matters. Real impact on small businesses, not abstract metrics Funded with conviction. $16.5M raised with a strong trajectory toward profitability Modern stack. Kotlin/Quarkus, AWS, TypeScript/React/Next.js, and LangGraph for AI-powered features Squad-based organization. Each squad owns its domain end-to-end with real ownership and autonomy Product-led structure. PMs report directly to the CPO, keeping product strategy focused, consistent, and clearly prioritized Engineers own technical decisions. Engineering Managers participate, challenge, and sponsor decisions - but engineering judgment stays with the team Hybrid by design. Our Berlin office in Prenzlauer Berg is the center of gravity, with two work-from-home days as the standard setup Direct feedback culture. Honest, direct, and kind feedback is part of how we work together - in 1:1s, retrospectives, and everyday collaboration Two clear career tracks. We support both Individual Contributor growth (up to Staff level) and Engineering Management paths, with explicit reversibility between both Benefits & Culture * Choose between an Urban Sports Club/John Reed membership or a public transport/Dance subscription * Regular company and team events * Annual personal development budget of €500 for conferences, courses, books, career coaching, and more * An inclusive and exciting startup culture that enables fast professional and personal growth * Beautiful office in the heart of Berlin (Prenzlauer Allee 242) with free snacks, drinks, and top-notch equipment We want to build a community, not just a company. It’s important to us to create an environment where people genuinely enjoy spending time together - whether that’s through HYROX training, golfing, beer pong tournaments, running clubs, Warhammer, weekend activities, or whatever kind of community you’d like to help build here! We're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the description. At Superchat, we welcome diverse perspectives and people who think rigorously. Relocating to Berlin? We support you with practical relocation help. You'll feel home in no time. We look forward to your application! 🙂 With your application you agree to our privacy policy.
INTRO At Adsquare, our mission is driven by our core focus: * Passion – Solving complex challenges with great people, tech, and data. * Niche – Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do: * Drive: We turn ambition into action to deliver valuable outcomes. * Resilience: We adapt, persevere, and grow stronger. * No BS: We value honesty, transparency, and clear communication. * Humble: We choose modesty over vanity and let results speak for themselves. * Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work. ABOUT THE TEAM As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs. To give you an idea of the work, your daily mission might involve: * Data Ingestion & Products: Developing data solutions built on massive volumes of location signals, geospatial (places) data, and audience attribute data. * Data Integrations & Egress: Architecting privacy-first, massive-scale data egress solutions to ensure our datasets reach external partners reliably, securely, and efficiently. Regardless of the specific squad, you will work alongside a talented team of Data and Backend Engineers under the guidance of a Technical Team Lead, operating with a high degree of autonomy and a strong software engineering mindset. YOUR MISSION * Data Pipeline Ownership: Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget. * Architect Scalable Solutions: Design and build robust data architectures required to process and transfer terabytes of data. * Pipeline Optimization: Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling. * Engineering Rigor: Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code. * Data Monitoring: Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making. * Collaboration & Mentorship: Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices. YOUR PROFILE We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment. Must-Have Technical Skills: * Programming Mastery: Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles. * Big Data & PySpark: Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg. * Advanced Optimization Skills: Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles. * Database & Storage Architecture: Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks). * Cloud Native (AWS): Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch). * Infrastructure & Orchestration: Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions. * Engineering Fundamentals: Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines. * AI tools: Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code. NICE TO HAVE * Compiled Languages: Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython). * Geospatial Data: Experience working with GIS (Geographic Information Systems) and geo-spatial datasets. * Data Formats: Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance. * Streaming Technologies: Familiarity with Kafka and Flink. * Backend Context: Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design). WHY US? * Hybrid work model * 30 vacation days * Learning budget * Regular team and company events * Latest hardware of your choice * Pet-friendly Berlin office RECRUITING PROCESS COULD REQUIRE ON SITE STEPS For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * Step 1: Short 30-min take-home technical quiz. * Step 2: Value-based interview (30 mins). * Step 3: Deep-dive technical interview (1.5 hours) with the Data team. * Step 4: Practical data-crunching challenge. * Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other. WORK MODEL Hybrid in Berlin, Remote for B2B opportunity