Related skills
rag genai llm embeddings📋 Description
- Create and champion a clear product vision for your AI area.
- Turn qualitative and quantitative insights into root-cause problems.
- Shape agentic AI features: multi-step reasoning and tool orchestration.
- Understand LLM challenges: hallucinations, output quality, non-determinism.
- Use prototypes, user research, and data analysis to validate AI interactions.
- Collaborate with ML engineers, data scientists, domain experts, and designers.
🎯 Requirements
- 5+ years PM experience in FinTech/B2B SaaS with 2+ years ML/GenAI focus.
- Knowledge of RAG, embeddings, prompt engineering, and LLM evaluation.
- Experience shipping AI with probabilistic outputs; define 'good enough' and iterate.
- Comfortable reading Python notebooks and SQL to interrogate model outputs.
- Track record balancing ML research and production delivery constraints.
- Collaborative leadership and stakeholder management; empower teams.
🎁 Benefits
- Competitive, market-benchmarked salary
- Pension with 7% company matching
- Private medical insurance, sick leave, income protection
- Season ticket and cycle-to-work schemes
- Hybrid flexibility with up to 3 months abroad
- 25 holiday days plus local public holidays (exchangeable)
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