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

• 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

• 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

The Opportunity

9fin is already the leading platform for legal intelligence in debt capital markets. Our proprietary AI capabilities extract and analyse legal language at scale, and our unique dataset of credit legal documentation delivers intelligence that generic AI tools simply cannot match.

Now we are investing to extend that leadership. You will lead a dedicated engineering team to define the next chapter of 9fin's legal product — going deeper on AI, building richer workflows, and expanding into the law firm segment, where we see a significant TAM opportunity that is ours to capture.

Your users sit at the centre of the debt markets ecosystem: origination teams at top investment banks, lawyers at leading law firms, and credit analysts at hedge funds and credit funds.

This is a great opportunity to shape the future of a product and a company that's using technology to revolutionise the trillion-dollar debt capital market.

Key Responsibilities

Product Strategy & Execution

• Strategy: Define and champion the product vision and strategy for the Covenants squad from the ground up, working closely with engineering, our legal analysts, and key customers to establish what to build and why.
• Problem definition & structured thinking: Synthesise insights from in-house legal subject matter experts (SMEs), customer interviews, customer feedback and data signals to craft a clear problem statement, articulating the root cause in a structured way.
• Discovery: Use a range of techniques to identify and understand what users need and their workflows, across a sophisticated professional audience spanning credit analysts, portfolio managers, restructuring advisors, and law firms.
• Impact driven: Align the team around a key outcome and effectively prioritise initiatives across multiple dimensions.
• Measuring success: Proactively identify and track metrics to measure client and business benefit. Work with the team to define and manage a process for continuous model evaluation and improvement, with particular attention to the accuracy and reliability standards required in legal contexts.

Team Leadership & Communication

• Team success: Create a collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work.
• Communication: Ensure all people involved are aware of the team's strategy, initiatives, and progress. You must be able to effectively communicate complex legal and financial concepts to technical audiences, and similarly communicate technical capabilities to legal and credit professionals.
• Influence: Build strong relationships to empower the squad to achieve the desired outcome, often by influencing stakeholders outside of your team.
• Stakeholder management: Work closely with stakeholders, including 9fin's legal analysts, credit team to gather the right input and insights. You will need to listen carefully and bring people on a journey.

AI Product Development

• Own the roadmap for AI-powered legal document extraction and covenant analysis, ensuring outputs meet the precision standards required for professional use.
• Partner with software and AI engineering to define evaluation frameworks for AI outputs in legal contexts, where accuracy, source attribution, and explainability are critical to user trust.
• Identify opportunities to apply emerging AI capabilities to novel legal workflow problems, from covenant compliance monitoring to cross-document analysis across deal histories.

• You have a legal or financial markets background, or have built products for this audience. You may have started your career as a lawyer, paralegal, or credit analyst, or you may have been a PM at a legal tech company. You are able to hold a substantive conversation about credit agreements, covenant packages, and how legal language governs capital structures. A sharp PM from an adjacent domain who can demonstrate rapid domain immersion will also be considered.
• You are a strategic thinker who thrives with a blank page. You are comfortable defining strategy from scratch, not just executing an existing roadmap. You can synthesise ambiguous inputs into a clear direction and bring a team with you.
• You're a collaborative leader. You have an empathetic leadership style and build strong, effective relationships. You love working autonomously but are able to earn the trust of others with a collaborative style. You are great at prioritising, not afraid to say no, and excel at managing stakeholders while also being confident in voicing your own opinions and challenging others.
• You've got hands-on experience with AI. You have experience with or a working knowledge of AI and LLMs, including how to evaluate model outputs in production environments. You understand what good looks like when AI is applied to high-stakes, precision-dependent workflows, and you can engage meaningfully with engineering teams on evaluation design and quality standards.
• You work in an AI-native way. You use generative AI tools as a natural part of how you work: prototyping ideas, conducting research, reviewing PRDs, and building agents or automated workflows to extend your own productivity. You are comfortable using coding assistants to get things done faster and are genuinely excited about what this shift means for how product work gets done. This is not a nice-to-have. We expect our PMs to be at the frontier of how AI accelerates product development.
• You thrive building from zero. You are energised by the opportunity to define something new rather than optimise something established. You move quickly, make decisions with incomplete information, and course-correct based on evidence.

We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.

Financial & Insurance

• Competitive Salary (our salary bands are benchmarked at the top end of the market)
• Pension (your minimum contributions are 4% with 9fin matching up to 7%)
• Private Medical Insurance
• Paid sick leave with Income Protection for long periods of illness
• Group Life Assurance
• Season Ticket Loan & Cycle to Work schemes

Time off

• 25 holiday days per year
• Local public holidays (with the ability to exchange them for alternative days)
• Work abroad for up to 3 months a year
• 1 month paid sabbatical after 5 years of service
• Enhanced parental leave & flexible working arrangements available

Training & Culture

• Professional learning and development budget
• Quarterly team socials
• Summer and Winter company social events

Hybrid Policy

9fin is a hybrid company, and the office is a regular part of how we work. From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays. Some teams may be asked to be in the office more often, where the nature of their work calls for it. For the rest of the week, you may work from wherever works best for you and your team. Your Talent Partner will share hybrid working details for this role.

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 recognize 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.

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