AI product manager in fintech in London

Описание: At ZILO™, we're redefining what's possible in technology.

ZILO™ is the UK-based Fin Tech specialising in global asset and wealth management software, designed to scale and transform businesses of all types using our own developed AI Technology.

Our mission is to digitalise the future of the global asset management industry.

We are a team of experts with decades of combined experience at leading firms globally, who thrive in fast-paced environments and want to shape the future of technology.

Every individual plays a key role in driving progress and making a real impact.

We continuously strive to innovate and improve.

• Задачи
• Translate ZILO's AI vision into a clear product strategy and plan, helping to shape and execute it in line with company objectives, market demand and commercial goals
• Identify and prioritise high-value AI use cases across the ZILO™ platform and asset management operations, such as intelligent automation, data analysis and insight generation, and client-facing and internal tools
• Develop and maintain the AI product roadmap, prioritising features and enhancements by strategic goals, client impact, feasibility and resource availability
• Conduct market research and competitive analysis to identify trends, customer needs and opportunities for AI product development
• Work closely with Marketing to understand market trends, competitor positioning and target client segments, and to shape clear propositions and messaging for ZILO's AI products
• Engage with clients and internal stakeholders to gather feedback, validate concepts and features, and test willingness to adopt and pay
• Build the business case for each AI product, covering target market, value proposition, pricing and packaging, revenue potential and cost to serve (including model inference and infrastructure costs)
• Ensure AI products are designed to be commercially viable and sellable from day one, with clear differentiation and a compelling, evidence-based return on investment for clients
• Own the go-to-market plan in partnership with Sales, Marketing and Client Success, including launch planning, positioning, messaging and pricing
• Track commercial performance after launch (for example pipeline, revenue, client adoption, retention and margin) and use it to guide roadmap decisions
• Own AI products end to end, driving development from discovery and prototype through MVP, pilot and full production launch, and making sure products reach market on time and to the expected standard
• Remove blockers and make clear trade‑off decisions on scope, quality, cost and time, keeping teams focused on a successful launch rather than proofs of concept that stall
• Work closely with AI Research Engineers, Data Engineers and Software Engineers to design and deliver AI models, algorithms and solutions that meet client needs
• Translate use cases into clear product requirements, user stories and acceptance criteria, including model performance, quality and data requirements
• Champion Agile product development, ensuring timely delivery of high‑quality products through iterative releases
• Apply practical, hands‑on knowledge of building Generative AI products, including model selection, prompt and context engineering, retrieval‑augmented generation (RAG), agentic workflows, evaluation and guardrails, to guide build‑versus‑buy and solution design decisions
• Collaborate with Design on intuitive, trustworthy user experiences for AI‑driven features, including how outputs, confidence and sources are presented to users
• Define success metrics for AI products, covering both business outcomes and model quality (for example accuracy, reliability, latency, cost and user adoption), and track them post‑launch
• Establish evaluation, monitoring and feedback processes so that models are validated against business objectives and continuously improved
• Work with Data Protection and legal teams to ensure AI products align with regulatory and ethical expectations, including data privacy, transparency, bias and human oversight
• Identify and manage product risks, including model limitations, data quality and third‑party model dependencies
• Communicate AI capabilities, limitations and progress clearly to technical and non‑technical stakeholders at all levels
• Support Sales, Client Success and Product Consultants with product positioning, demonstrations, objection handling and training materials, so they can sell ZILO's AI products with confidence
• Stay current with advances in AI, machine learning and data science, and assess new technologies for fit with ZILO's products
• Требования
• Proven experience in product management (typically 5+ years), with a track record of taking products from concept through to market launch and commercial success, ideally in fintech, Saa S, financial services or regulated environments
• Demonstrable, real‑world experience of building and launching products where Generative AI is at the core, not simply an added feature, including products live in production and used by paying clients, ideally in a regulated environment
• Hands‑on knowledge of the Generative AI product lifecycle, including LLM selection, prompt design, retrieval‑augmented generation, evaluation, guardrails, and managing cost, latency and reliability at scale
• Strong commercial acumen, with experience of building business cases, and working with Sales and Marketing to bring products to market
• Strong understanding of AI technologies, frameworks and best practice, including machine learning concepts, LLMs and Generative AI, and how models are trained, evaluated and deployed
• Ability to work credibly with AI research engineers and translate complex technical concepts into actionable product strategy
• Proficiency in data analysis tools and techniques, with a solid understanding of data science principles
• Experience with Agile product development methodologies and tools such as JIRA and Confluence
• Knowledge of user experience best practice and design thinking principles
• Excellent analytical and problem‑solving skills, with a data‑driven approach to decision‑making
• Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels
• Будет плюсом: Experience with agentic AI, multi‑model architectures or fine‑tuning small language models for specialist domains; Understanding of AI governance and regulation (for example the EU AI Act and GDPR) and of responsible AI practices; Familiarity with cloud platforms (AWS, Azure or GCP) and MLOps concepts; A passion for emerging technologies and a commitment to continuous learning
• Условия
• This role is hybrid and there is an expectation of 2‑3 days in the London office per week
• Enhanced leave - 38 days inclusive of Public Holidays
• Private Health Care including family cover
• Life Assurance - 5x salary
• Flexible working-work from home and/or in our London Office
• Employee Assistance Program
• Pension
• Salary Sacrifice
• Holiday selling scheme
• Cycle to work and nursery salary sacrifice schemes
• EMI Share Option Scheme after a qualifying period
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