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AI Product Manager
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We’re partnering with a rapidly growing financial technology company using AI and data to transform how high-growth businesses access and manage capital.
They’re looking for a highly technical AI Product Manager to lead the development of AI-powered products across the full lifecycle — from data and models through to user-facing applications.
You’ll sit at the intersection of Product, Engineering and Data Science, turning complex financial and business problems into production-ready AI systems. This includes AI assistants, agentic workflows, decision-support tools and data platforms that need to be accurate, explainable and reliable in a high-stakes environment.
What You’ll Do:
- Define and deliver AI-native products including AI assistants, chat interfaces, agentic workflows and decision-support tools.
- Translate complex financial and analytical problems into practical AI product solutions.
- Own product development across data pipelines, model layers and application experiences.
- Design and implement LLM and multi-agent systems across key business workflows.
- Build structured representations of complex financial and business data.
- Own the quality and reliability of AI outputs in production.
- Define approaches to evaluation, hallucination mitigation and model performance.
- Work closely with Data Science and Engineering teams to take concepts through to production.
- Debug problems across data quality, model behaviour and user experience.
- Develop AI-powered tools for areas such as financial analysis, risk assessment, deal evaluation and monitoring.
- Make architectural and product trade-offs while balancing speed, accuracy and business impact.
Who We’re Looking For:
- 5+ years of Product Management experience, with strong technical depth.
- Strong understanding of LLMs, prompting, RAG, evaluation and hallucination mitigation.
- Good understanding of data pipelines, APIs and structured/unstructured data.
- Strong grasp of machine learning fundamentals and model evaluation.
- Experience building or managing AI-powered products in production.
- Strong SQL/data querying skills and experience working with API integrations.
- Ability to understand and shape system architecture across data, AI models and product layers.
- Comfortable debugging problems across data, model and UX layers.
- Proven experience working closely with Engineering and Data Science teams.
- Experience with financial, analytical or data-intensive products is highly beneficial.
- Fintech or financial services experience is a strong plus.