At Stacks, we’re transforming how finance teams approach one of their most critical processes: the monthly close. For mid to large enterprises, this process is often manual, repetitive, and time-consuming—diverting finance teams from strategic initiatives to focus on tedious tasks. We believe it’s time for change.
Our vision is bold: with the power of AI, we aim to make the monthly close as simple as a single click—delivering precise financial insights on day one of each month. By freeing finance teams from low-value tasks, we empower them to focus on strategic work that truly drives business growth.
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 build a game-changing solution. Based in the heart of Amsterdam, our office offers inspiring canal views and a collaborative atmosphere. Backed by leading VCs and executives from Stripe, Plaid, and OpenAI, we’re poised to reshape the future of finance.
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.
Develop and refine autonomous agents leveraging generative AI to automate financial workflows—from data ingestion to decision support.
Train, evaluate, and deploy models for forecasting, predictive analysis, and transaction categorization, ensuring robust and reliable results.
Construct and optimize data pipelines for raw, structured, and unstructured data, ensuring high-quality inputs power our models and AI agents.
Incorporate advanced transformer-based architectures and embedding techniques to drive automation, enhance insights, and deliver impactful outcomes.
Rigorously validate model performance, run data validation and diagnostics, and ensure flawless operations in production environments.
Background as a Data Scientist, Data Engineer, or ML Engineer, with a history of delivering high-impact machine learning solutions.
Familiar with forecasting, predictive modeling, and transaction-oriented analytics—ideally within the finance sector.
Proficient in Python and experienced in deploying ML models to production. Hands-on with modern ML frameworks and data engineering tools.
Comfortable tackling complex, unstructured problems and thriving in a fast-paced, high-growth environment.
You set ambitious goals, pursue innovative solutions, and aren’t afraid to challenge the status quo.
You prioritize customer needs and have a strong product intuition, ensuring AI solutions translate to real business value.
You excel in rapidly changing settings and love learning new skills and technologies.
You stay updated on cutting-edge methodologies, best practices, and industry trends to refine your craft.
✅ 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.
