About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform. We recently closed a €115 million Series C equity round, bringing our total funding to approximately $346 million. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
The Role
You'll join the AI Team — the group driving all AI products and technology at Finom. We build and ship AI across the company: AI financial co-pilot, voice agent, and internal AI-powered processes. Our belief: your AI agent is only as good as your eval loop — we can build AI as good as the evals we run on it. Your mission: own that eval loop across every AI product we ship — pre-launch quality gates, post-launch monitoring, continuous improvement. Close collaboration with AI engineers, Product, and domain experts across the company. Core stack: Databricks, DeepEval, Claude Code.
What You Will Be Doing
- Own and extend our offline eval suite across products — datasets (capability + regression), judges, metrics
- Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency
- Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts
- Harden methodology: judge stability, non-determinism handling
- Translate numbers into decisions – weekly syncs, clear trade-offs, no dashboards for their own sake
We care about what you ship and how clearly you think. We provide an environment where AI-assisted coding is our default authoring environment. We are looking for analysts who are already curious and fluent with AI coding — or genuinely excited to become fluent fast. If this idea excites you rather than worries you, you'll feel at home here.
Must-Haves
- Python and SQL — you can build an analysis end-to-end
- Solid foundation in statistics — sampling, hypothesis testing, variance, understanding what a noisy metric is
- Analytical mindset — you start from the business question, not from the tool
- 3+ years in analyst / data scientist roles, at least one in a product context
Nice-to-Haves
- Experience in quality analytics for ML systems — ranking, recommendations, classification, etc.
- Hands-on experience evaluating LLM applications (RAG, agents, tool use, judges)
- Experience building LLM agents — side projects, toy builds, personal experiments all count
