Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape AI opportunities and lead innovative product design workshops.
- Company: Global consultancy at the forefront of AI and digital transformation.
- Benefits: Hybrid working, structured training, wellbeing support, and clear career progression.
- Why this job: Make a real impact in high-profile AI projects while growing your skills.
- Qualifications: Experience in AI product management and strong stakeholder relationship skills.
- Other info: Inclusive culture that values curiosity and responsible AI application.
The predicted salary is between 36000 - 60000 £ per year.
Overview
London, Manchester, Newcastle or Glasgow | Hybrid working
You’ll join a global transformation consultancy at the forefront of AI, data and design-led change. This organisation partners with major enterprises to tackle complex challenges using technology built with purpose. Known for its inclusive culture, strong investment in learning, and exposure to high-impact programmes, it offers an environment where your ideas shape outcomes and your expertise influences decisions at the highest level. Here, curiosity is encouraged, experimentation is expected, and AI is applied responsibly to deliver measurable value for both organisations and end users.
Role Highlights
- Identify and shape AI opportunities that address genuine business and user needs
- Lead discovery, design thinking workshops and product experimentation
- Translate concepts into clear product definitions, roadmaps and outcomes
- Oversee POCs and pilots, iterating based on evidence and user feedback
- Embed responsible, secure and ethical AI into every stage of delivery
You Will Need
- Strong experience delivering AI or data-led products in complex environments
- Working knowledge of LLMs, generative AI and enterprise AI architectures
- Proven product management capability across discovery to live service
- Confidence advising senior stakeholders and building trusted relationships
- Experience coaching others and leading delivery within agile teams
Why You’ll Love It
- High-profile AI and digital transformation programmes across industries
- Structured training, certifications and a clear progression pathway
- Hybrid and flexible working embedded as standard
- A strong wellbeing focus with practical support and resources
- A culture that values inclusion, responsibility and long-term impact
Apply today to grow your career with a forward-thinking employer committed to equal opportunity. We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment in which everyone is able to make the best use of their skills, free from discrimination or harassment, and in which all decisions are based on merit.
Due to a high number of applicants, we are only able to respond to successful candidates.
AI Product Manager employer: Tarka Talent
Contact Detail:
Tarka Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that AI Product Manager role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or case studies that highlight your experience with AI and data-led products. We want to see how you’ve tackled complex challenges and delivered results.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI product management. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Product Manager role. Highlight your experience with AI and data-led products, and show how your skills align with the job description. We want to see how you can bring value to our team!
Showcase Your Experience: When detailing your past roles, focus on specific projects where you've led product management or worked with AI technologies. Use concrete examples to demonstrate your ability to deliver in complex environments. This helps us understand your journey and expertise.
Be Authentic: Let your personality shine through in your application. We value curiosity and a genuine passion for AI and technology. Share your thoughts on responsible AI and how you’ve applied it in your work. This gives us a glimpse of who you are beyond your qualifications.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Tarka Talent
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially LLMs and generative AI. Be ready to discuss how these technologies can solve real business problems and improve user experiences. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Product Management Skills
Prepare examples from your past experiences where you've successfully managed AI or data-led products. Highlight your ability to lead discovery workshops and translate ideas into actionable roadmaps. This will demonstrate your capability to drive projects from conception to delivery.
✨Build Relationships with Stakeholders
Think about how you can convey your confidence in advising senior stakeholders. Prepare to share instances where you've built trusted relationships and influenced decisions. This is crucial for a role that involves collaboration across various levels of an organisation.
✨Emphasise Ethical AI Practices
Be ready to discuss how you embed responsible and ethical AI practices in your work. Share your thoughts on the importance of security and ethics in AI development, as this aligns with the company's values and shows that you take these issues seriously.
