9fin - Senior AI Product Manager
Requirements
• 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
Responsibilities
• 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
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
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT