Job Description

Join us as an AI Product Manager, Digital Assistant

We'll look to you to future proof how our customers engage with the bank through the creation and scaling of our AI conversation assistants and help and support platforms Day-to-day, you'll use data analysis and find opportunities to develop our capabilities and new customer experiences across our bank's conversation assistants Thrive in a role where you'll utilise your skill set to build journeys, optimise natural language understanding and identify new initiatives

What you'll do

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As an AI Product Manager, Digital Assistant, you'll define a backlog and create a roadmap that'll enable the delivery of our bank's objectives and meet key performance indicators, while ensuring compliance through the effective identification, escalation and resolution of risks and issues.


Alongside this, you'll drive all aspects of the delivery by setting the production vision and defining, managing and prioritising the backlog by using Agile methodologies to develop and release value to our customers.


Your top priorities will include:

Implementing and running a programme of optimisation to ensure products meet their objectives Working with our bank's stakeholders to understand our customers' needs by using conversational AI and customer testing to design journeys for our conversation assistants Using data sources, tools, market research, first and third-hand customer research and gap analysis to identify customer insights Ensuring the delivery and optimisation of new and innovative approaches to AI and intelligent automation that focus on new and emerging technologies to improve customer experiences Developing help and support capabilities and extending this to new interfaces, including voice assistants, social channels and other emerging technologies

The skills you'll need

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To be successful in this role, you'll need experience of working with AI Agentic frameworks such as Open AI's Agent SDK and Langraph.


In addition, you'll need knowledge of machine learning and key metrics for Agentic AI solutions, along with an understanding of current technologies within AI and virtual assistants with voice capabilities such as real time voice models.


Furthermore, you'll need:

Experience managing and coaching a team to their full potential The ability to present technical concepts and new technologies such as Agentic AI to a non-technical audience Experience of delivering products through continuous improvements by using data, insights, value slicing and a/b testing An understanding of working in an Agile environment by using Scrum and Kanban methodologies * Experience of analysis of generative AI through LLM as a judge, faithfulness, Groundedness and triatic agreement