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For Companies At a Glance
- Tasks: Lead the development of AI conversation assistants and enhance customer experiences.
- Company: Join a forward-thinking bank focused on innovative digital solutions.
- Benefits: Enjoy flexible working options and a dynamic work culture.
- Why this job: Be at the forefront of AI technology, shaping the future of banking.
- Qualifications: Experience with AI frameworks, machine learning, and Agile methodologies required.
- Other info: Opportunity to work with cutting-edge technologies and a collaborative team.
The predicted salary is between 36000 - 60000 £ per year.
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
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
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
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AI Product Manager, Digital Assistant employer: webAI
Contact Detail:
webAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager, Digital Assistant
✨Tip Number 1
Familiarise yourself with the latest trends in AI and conversational technologies. Understanding how these innovations can enhance customer experiences will help you stand out during discussions with our team.
✨Tip Number 2
Network with professionals in the AI and product management fields. Engaging with others who share your interests can provide valuable insights and connections that may benefit your application process.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive product improvements. Being able to articulate your past successes will demonstrate your capability to deliver results in this role.
✨Tip Number 4
Showcase your understanding of Agile methodologies by being ready to discuss how you've implemented Scrum or Kanban in previous projects. This will highlight your ability to thrive in our fast-paced environment.
We think you need these skills to ace AI Product Manager, Digital Assistant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI product management, particularly with conversational AI and Agile methodologies. Use specific examples that demonstrate your ability to optimise customer experiences and manage a backlog.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention your experience with AI frameworks like Open AI’s Agent SDK and your understanding of machine learning metrics. Show enthusiasm for contributing to the bank's objectives.
Showcase Your Data Analysis Skills: Provide examples of how you've used data analysis to drive product improvements or customer insights in previous roles. Highlight any experience with A/B testing or gap analysis that demonstrates your analytical capabilities.
Prepare for Technical Questions: Be ready to discuss technical concepts related to AI and virtual assistants during the interview process. Prepare to explain how you would present these concepts to a non-technical audience, showcasing your communication skills.
How to prepare for a job interview at webAI
✨Showcase Your AI Knowledge
Make sure to brush up on your understanding of AI frameworks, especially Open AI’s Agent SDK and Langraph. Be prepared to discuss how these technologies can enhance customer experiences and how you've applied them in previous roles.
✨Demonstrate Agile Experience
Since the role requires working in an Agile environment, be ready to share specific examples of how you've used Scrum or Kanban methodologies in past projects. Highlight any successful product deliveries that resulted from these practices.
✨Prepare for Technical Presentations
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations and consider using analogies or visuals to make your points clearer during the interview.
✨Emphasise Data-Driven Decision Making
The role involves using data analysis to drive product optimisation. Be prepared to discuss how you've used data insights, A/B testing, and customer feedback to inform product decisions and improve user experiences.
