Senior AI Product Manager in London

About 9fin: 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.

The Opportunity: Our AI product area is growing. We already have two Product Managers working across conversational AI, agentic workflows, and domain-specific automation, and we need a third to expand our capacity as the scope of AI at 9fin accelerates. Backed by over $50M in funding (Series B), we are scaling rapidly across product, engineering, and go-to-market. AI is not a bolt-on feature at 9fin; it is the core differentiator for the next phase of the company.

You will join an established AI PM team and take ownership of a product area within our AI surface. This could span new AI-powered features for credit analysts, workflow automation for legal and financial analysis, or expanding our conversational AI into new domains. The team has already built evaluation infrastructure and quality frameworks; you will use and contribute to these rather than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real scope to shape what 9fin's AI products can do for our clients.

What You'll Do:

• Product Strategy & Execution: Collaboratively create and champion a clear product vision and strategy for your area, with a focus on building and evolving our AI products. Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms. Shape the next generation of agentic AI products: multi-step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals. Demonstrate a working understanding of the challenges specific to building with LLMs, including managing hallucinations, evaluating output quality, and designing for non-deterministic systems. Use confidence-building methods (prototypes, user research, data analysis) to understand how users will interact with AI-powered products before committing to full builds.
• AI Quality & Data: Use the team's AI evaluation framework (LLM-as-judge protocols, quality thresholds, SME eval cycles) to validate and improve the products you ship. Contribute to the data strategy for your product area: annotation quality, ground truth curation, and feedback loops that improve model performance over time. Proactively identify and track metrics that measure client and business benefit, working with the team on continuous model evaluation and improvement.
• Team Leadership & Communication: Create a collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work. Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models. Communicate strategy, initiatives, and progress transparently across the organisation. Translate complex AI concepts, capabilities, and limitations into language that non-technical stakeholders can act on. Champion responsible AI practices: transparency in model outputs, bias monitoring, and compliance with client expectations around AI-generated content.

What We're Looking For:

• 5+ years of product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI products.
• Working knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just 'AI concepts' at a high level).
• Experience shipping AI products where output quality is probabilistic: you know how to define 'good enough' and iterate from there.
• Comfortable reading Python notebooks and SQL to interrogate model outputs and usage data.
• Track record of shipping AI products where you managed the tension between ML research/exploration and production delivery constraints.
• Collaborative leadership style with strong stakeholder management; you build relationships that empower your team to achieve outcomes.
• User-centric communication skills: you can explain AI capabilities and limitations to clients and internal stakeholders without overselling or underselling.
• You thrive in fast-paced, ambiguous environments and are energised by the challenge of building something new.

Nice to Have:

• Experience in financial services, legal tech, or data/analytics platforms.
• Familiarity with credit markets, debt instruments, or regulatory/compliance workflows.
• Experience with NLP applied to document analysis (contracts, legal filings, financial reports).
• Experience with agent orchestration frameworks, tool use patterns, or multi-step AI workflows.

Benefits:

• Competitive, market-benchmarked salary.
• Pension with 7% company matching.
• Private medical insurance, paid sick leave, income protection, group life assurance.
• Season ticket and cycle-to-work schemes.
• Hybrid flexibility with up to 3 months annual work abroad.
• 25 holiday days plus local public holidays (exchangeable).
• One-month paid sabbatical after 5 years; enhanced parental leave.
• Professional development budget and regular social events.

9fin is an equal opportunities employer. At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognise that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.