Related skills
ai kafka spark mlops llms📋 Description
- Define data product strategy using transactional, market, and client data.
- Own the AI product roadmap end-to-end; identify high-impact use cases.
- Translate AI capabilities into product value with measurable ROI.
- Define operating model for Data & AI; align across Eng, Compliance, Risk, Finance, Product.
- Build and lead a high-performing Data & AI team; coach and empower.
- Collaborate with executive leadership to translate vision into strategy.
🎯 Requirements
- 7+ years in product and data management in B2B.
- Regulated fintech/finance experience with API-first SaaS.
- Absorb complex domains (data contracts, lakehouse, MLOps) with PM skills.
- Experience translating AI/ML capabilities including LLMs into product ROI.
- Fluency in modern data stacks: Kafka, Spark, Flink, Airflow, Dagster.
- Define and own data/AI product roadmap with clear outcomes.
🎁 Benefits
- Best-in-class AI tools; €20,000/year budget.
- Professional development budget €1,500/year.
- 30 days annual leave; sports benefits; confidential coaching.
- Flexible work environment; remote abroad up to 183 days/year.
- Competitive salary and equity program.
- Team celebrations and events.
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