The role asks for an experienced product manager who can own one area of 9fin’s AI products, such as analyst features, legal document extraction, or covenant analysis. A strong candidate has several years of product work, with at least two on machine learning or generative AI, and can read Python notebooks and SQL to check model outputs. They bring clear judgment on what counts as good enough when answers are probabilistic, and can work with engineers, data scientists and legal or credit experts.
How it fits the AI era
AI is the product itself here, so the work centres on shaping agent-style workflows, setting quality bars and deciding when an output is reliable enough for professionals to trust. Tools can speed up research, prototyping and data checks. People still decide what problem is worth solving, how much accuracy a legal or credit user needs, and how to explain limits honestly to clients.
How it builds AI experience
The role offers hands-on exposure to conversational AI, multi-step agent workflows and document analysis on a large set of credit legal documents. It also involves working with an existing evaluation setup that includes model-based grading and expert review cycles. Someone preparing could build small retrieval projects over legal or financial filings and practise writing evaluation criteria for them.
Worth showing
- Shipped LLM product with quality metrics
- RAG and prompt engineering knowledge
- Python and SQL for output analysis
- Explaining AI limits to clients
- Financial or legal document workflows
This is our own read, written from the employer’s posting and the company’s Spotlight. The employer’s posting is the source of truth for the role.
About 9fin
9fin delivers debt market intelligence, news, and credit analytics powered by automated workflows, per company statements.
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