GTM Engineer

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. We are looking for a builder, not just a manager. As the Team Lead for Business Development based in Berlin, you will hold a dual mandate: Coach the talent and Engineer the GTM strategy. You will lead the team responsible for the DACH, CEE, and Nordics regions, markets that require distinct strategies and precision. We are moving beyond standard "SDR" motions. We need a leader who can analyze signal patterns, partner with RevOps to automate workflows, and provide our Heads of Sales with predictive insights on which verticals will trend next. What you’ll do * Lead & Develop (The People): Recruit, hire, and coach a high-performing team of 9 Business Development Representatives (BDRs). You won’t just track KPIs; you will dissect calls, refine commercial judgment, and help BDRs "create their own path" toward closing roles. * GTM Architecture (The Engine): Act as the "GTM Engineer" for your region. Work with RevOps to optimize lead routing, data enrichment, and dashboarding. If the process is broken, you don't just report it: you fix it. * Strategic Forecasting: Partner with Sales, Marketing and Product Marketing to tailor our go-to-market strategy per vertical. You will identify future trending sectors in DACH/CEE/Nordics before they hit the mainstream news. * Data-Driven Experimentation: Embed a culture of A/B testing. Use data to refine messaging and targeting. You will be the bridge between the qualitative feedback of the BDRs and the quantitative rigor of our systems. * Cross-Border Collaboration: Champion the "Global License to Operate." Ensure your team collaborates effectively with Industry Leads, Head of Sales and Country Managers, adhering to our rules of engagement and Salesforce hygiene is non-negotiable. Who you are * You have 3+ years in Sales/Business Development, with at least 1+ year leading a team or driving complex GTM projects. * You are comfortable with the "Ops" side of sales. You understand that Salesforce is the source of truth and know how to leverage tools to uncover bottlenecks. * You drive performance through empathy and radical candor ("Talk straight without being rude"). You build teams that win together. * You can look at a list of 100 accounts and explain why we should prioritize the top 10 based on market signals, not just guesswork. * You are fluent in English and German. Experience working across CEE or Nordic markets is a significant plus.   Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.   This role is based out of our Berlin office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Prior Labs

WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. ABOUT THE ROLE Tabular data breaks the assumptions that make scaling work for language and vision. There's no natural sequence, no spatial structure, no shared vocabulary across datasets. The architectures and scaling laws that power LLMs don't transfer. We've made the first breakthrough with TabPFN — but the hardest problems are still ahead. At Prior Labs, Research Engineers aren't supporting scientists — they are the science team. You'll design experiments, contribute to papers, and write the code that turns architectural ideas into trained models. We create cutting edge research because the same people do both. As an early team member, you'll have significant technical ownership and room to grow as we scale. The problems we're solving: * Scaling transformer architectures from 10K to 1M+ samples — without the structural assumptions that make language models scale * Building multimodal models that combine tabular, text, and numerical understanding * Making models efficient enough for real-world deployment — not just accurate enough for a paper * Designing architectures for time series, forecasting, anomaly detection, and multiple related tables Day-to-day, you'll design and test novel architectures, run ablations, analyze scaling behavior, and write the training and evaluation infrastructure that makes rapid experimentation possible. We hold software quality to the same standard as research quality. What We're Looking For * Master's or PhD in Computer Science or a related field, plus 3+ years of experience building ML systems in research or industry * Publications at top ML venues (NeurIPS, ICML, ICLR, etc.) or equivalent demonstrated research impact (widely used open-source, deployed systems) * Deep proficiency in Python, PyTorch, and the broader ML and data science ecosystem (scikit-learn, pandas, NumPy), with strong software engineering practices * Experience implementing and training neural network architectures — ideally transformers or foundation models * Solid understanding of training dynamics, scaling behavior, and common failure modes in deep learning systems * Genuine interest in model efficiency — making large models faster, more scalable, and practical to deploy Nice to Have * Experience at an early-stage startup or as a founding engineer * Contributions to open-source ML libraries or tools * Experience with model distillation, inference optimization, or on-device ML * Background in tabular data, time series, or other structured data — helpful but not required Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.

Prior Labs

WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. ABOUT THE ROLE You will have ownership over designing, building, and scaling the core infrastructure that brings Prior Labs' foundation models to the world. This is a unique opportunity to make fundamental architectural decisions, establish engineering best practices from the ground up, and profoundly shape the technical direction for serving state-of-the-art AI. You'll work directly with world-class AI researchers, translating cutting-edge models into reliable, scalable production systems. This role offers significant autonomy and impact, with clear paths to specialize in areas you're passionate about (like ML infrastructure or core backend systems) or grow into a technical leadership position as our team expands. You won't just be implementing features; you'll be building the backbone of our company. WHAT YOU'LL DO * Architect & Design: Design robust, scalable, and secure backend systems and production-grade APIs for serving and finetuning our foundation models. * Build & Implement: Develop high-quality, maintainable code (Python/FastAPI experience highly valued) for core backend services. * Own Infrastructure: Design, deploy, and manage core infrastructure on cloud platforms, focusing on reliability, monitoring, observability, and cost-efficiency. * Core MLOps Concepts: Understanding of the entire machine learning lifecycle (MLLC) from data ingestion and preparation to model deployment, monitoring, and retraining. * Ensure Compliance & Security: Implement secure, GDPR-compliant systems, including data storage, access control, usage tracking, and quota management. * Champion Best Practices: Drive high standards for testing, CI/CD, documentation, and security within the engineering team. QUALIFICATIONS * 3+ years of professional experience in a cloud engineering, data platform, or SRE role, with a proven track record of managing production infrastructure. * Proven experience building and maintaining data-intensive systems, with a strong understanding of data modeling, storage, and processing technologies. * Strong, hands-on experience with Infrastructure as Code (IaC) using tools like Terraform. * Significant experience with containerization and orchestration technologies (Docker, Kubernetes). * Proficiency in Python. WHAT SETS YOU APART * Experience building or managing infrastructure specifically for machine learning (MLOps, model serving frameworks, feature stores, data pipelines). * Hands-on experience with modern data warehousing and processing platforms like Databricks, Snowflake, or BigQuery. * Contributions to relevant open-source projects. Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.