Product Manager

Product Manager (Hybrid)

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.

• 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.

• 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.

• Hybrid working model: most teams spend around three days a week in the office and with customers, balancing in‑person collaboration with flexibility to work remotely.
• 25 days holiday plus bank holidays, trading holidays, and holiday purchase options; opportunity to work from anywhere in the world for up to 4 weeks per year.
• Looking after you:
  Life Assurance, Group Income Protection, Private Medical Insurance, a pension scheme via Salary Exchange, an Employee Assistance Programme, and access to a Virtual GP.
• Family‑Friendly Policies:
  Enhanced maternity and paternity pay, paid time off for fertility treatments and pregnancy loss.
• Extra Perks:
  Cycle to Work Scheme, discounts on shops, restaurants, and gym memberships, free fresh fruit daily, and opportunities to join colleague networks and social groups.
• Giving Back:
  One paid volunteering day annually and the Give‑As‑You‑Earn scheme to support your favourite charities.

We value diversity and are committed to creating an inclusive environment for all employees. If you’re passionate about this role but don’t meet all the criteria, please reach out—we’d love to discuss how your skills and experiences align with our needs.