Product Manager
Listed on 2026-01-12
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IT/Tech
AI Engineer, Data Science Manager, Machine Learning/ ML Engineer, Data Analyst
Product Manager (Manchester / London / Cheltenham - Hybrid) About Finova
Finova is the UK’s largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market.
Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in savings, and support the digital servicing of more than 650,000 UK borrower accounts.
Be part of a team that’s driving innovation, enabling growth and shaping the future of UK lending.
About the Role:- Product Strategy/Ownership & Delivery
- Define and own the product vision, roadmap, and success metrics for AI-powered features and services.
- Conduct market research and competitor analysis to identify new opportunities and emerging AI capabilities.
- Run structured discovery (user interviews, mapping workflows, analysing constraints) to validate real user and business needs.
- Define and track success metrics to measure product performance and impact.
- Design, build, and run rapid AI proof-of-concepts using tools such as Python, JavaScript, Lang Chain, OpenAI APIs, vector databases, or internal frameworks.
- Experiment with LLM prompts, fine-tuning, embeddings, and RAG pipelines to explore feasibility of new ideas.
- Translate insights from prototypes into actionable product recommendations and engineering-ready specifications.
- Work with engineering teams to deliver high-quality AI features into production.
- Work with Engineering and QA teams to agree clear user stories, acceptance criteria, and system requirements.
- Support engineering with model evaluation, dataset requirements, testing approaches, and responsible AI guidelines.
- Prioritise effectively across competing demands, balancing experimentation with scalable delivery.
- Support the production of Decisioning roadmap, ensuring alignment to our strategic goals and customer outcomes.
- Communicate complex technical concepts to non-technical stakeholders.
- Drive alignment through clear documentation, demos, and evidence-based decision-making.
- Champion ethical, safe, and transparent use of AI across the business.
In terms of your experience, your attitude is everything, but we'd particularly love to see:
- 3+ years in Product Management or a similar role (Senior PM or Technical PM experience desirable).
- Proven experience delivering ML/AI-driven products, platforms, or features.
- Ability to independently design and run PoCs using scripting languages (Python/JS), APIs, or low-code tooling.
- Understanding of LLMs, embeddings, vector search, RAG, model evaluation, and prompt engineering basics.
- Strong problem-solving skills with the ability to break down ambiguous problems into clear experiments.
- Excellent communication and stakeholder management skills.
- Experience with cloud environments (AWS, GCP, Azure).
- Familiarity with data engineering concepts and evaluation frameworks.
- Understanding of ethical AI, governance, privacy and UK data protection considerations.
- Experience working with Agents, orchestration frameworks, or MCP-based architectures.
- Knowledge of financial services or other regulated sectors.
- Curious and experimental—comfortable learning through doing.
- Technically confident without needing to be a full-time engineer.
- User-centric mindset with strong discovery discipline.
- Bias towards action and rapid prototyping.
- Able to operate autonomously in a fast-paced, emerging domain.
At Finova, we believe the best outcomes come from working together - and having the flexibility to work in a way that suits both our people and our business. We operate a hybrid working model, with most teams spending around three days a week in the office and with our customers. This time together helps us stay connected, collaborate more effectively, and solve complex challenges as a team.
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