This role is based out of our Amsterdam office 🇳🇱
About Stacks
At Stacks, we’re transforming the way finance teams approach one of their most critical processes: the monthly close. For mid to large enterprises, the close is a painstaking, manual effort that pulls finance teams away from strategic initiatives to focus on repetitive, tedious tasks. We believe this needs to change.Our vision is bold. With the power of AI, we’re reimagining the monthly close to be as simple as a single click—providing the most accurate, detailed financial insights on day one of each month.
By giving finance teams their time back, we enable them to focus on high-impact, strategic work that drives their companies forward.Our team is a blend of finance, product, and technical experts from top-tier companies like Uber, Plaid, Miro, Mollie, and Bunq, united by the drive to create a game-changing solution. Based in the heart of Amsterdam, our office offers inspiring views over the iconic canals. Backed by leading VCs and executives from Stripe, Plaid, and OpenAI, we’re ready to reshape the future of finance.
About the Role
We’re looking for a Staff AI Engineer to spearhead our AI and ML efforts. This is far from a typical engineering role - it’s an opportunity to build our machine learning and data function from the ground up. Financial data can be a goldmine that’s often buried and untapped, and we need someone with the expertise and tenacity to unlock its full value.You will be at the forefront, developing cutting-edge solutions to automate financial close workflows and surface key strategic insights. Beyond tackling fascinating machine learning challenges, you’ll also handle the foundational work - designing robust data pipelines and transforming messy, unstructured data into clean, valuable assets.
If you’re passionate about diving deep into data, revel in both the glamorous and gritty aspects of ML, and want to make a significant impact on our product and company trajectory, this role is for you.
🧱 What You’ll Do
- Build and Optimize AI AgentsDevelop and refine autonomous agents leveraging generative AI to automate financial workflows - from data ingestion to decision support.
- Design and Fine-Tune ML ModelsTrain, evaluate, and deploy models for forecasting, predictive analysis, and transaction categorization, ensuring robust and reliable results.
- Engineer Data PipelinesConstruct and optimize data pipelines for raw, structured, and unstructured data, ensuring high-quality inputs power our models and AI agents.
- Leverage Generative AIIncorporate advanced transformer-based architectures and embedding techniques to drive automation, enhance insights, and deliver impactful outcomes.
- Performance Testing & BenchmarkingRigorously validate model performance, run data validation and diagnostics, and ensure flawless operations in production environments.
🧩 About You
- 5+ Years of ExperienceBackground as a Data Scientist, Data Engineer, or ML Engineer, with a history of delivering high-impact machine learning solutions.
- Financial Domain ExpertiseFamiliar with forecasting, predictive modeling, and transaction-oriented analytics - ideally within the finance sector.
- Technical FluencyProficient in Python and experienced in deploying ML models to production. Hands-on with modern ML frameworks and data engineering tools.
- Entrepreneurial MindsetComfortable tackling complex, unstructured problems, and thriving in a fast-paced, high-growth environment.
- Vision and DriveYou set ambitious goals, pursue innovative solutions, and aren’t afraid to challenge the status quo.
- User-CentricYou prioritize customer needs and have a strong product intuition, ensuring AI solutions translate to real business value.
- AdaptableYou excel in rapidly changing settings and love learning new skills and technologies.
- Continuous LearnerYou stay updated on cutting-edge methodologies, best practices, and industry trends to refine your craft.
Bonus: Experience working on automation, business intelligence, or process optimization within a finance team.
🚀 What’s in It for You
- Cutting-Edge Technology: Work at the forefront of the Gen AI revolution.
- Top-Tier Team: Collaborate with talented colleagues from companies like Uber, Plaid, Miro, and Mollie.
- Foundational Role: Become one of the founding pillars of an exciting company, backed by Tier 1 VCs and executives from OpenAI, Stripe, and DeepMind.
- Inspiring Workspace: Enjoy the view of the Amsterdam canals in our stunning office.
🤝 The Process
- Step 1: 30-minute screening call with our talent partner (Peter) to discuss your background, motivation, experience, and practical details.
- Step 2: 30-minute call with our founder (Albert) to learn more about you and share more about our product.
- Step 3: 45-minute call with a team member (Ivan) to dive deeper into your experience;
- Step 4: Take-home and 1-hour on-site panel interview with our team at Stacks.
- Step 5: 3 x team members to get to know each other better.
- Step 6: Offer!
