At a Glance
- Tasks: Lead the delivery of innovative AI-powered products and enhance productivity across the business.
- Company: Global technology innovation company at the forefront of AI advancements.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team and drive the next wave of intelligent automation.
- Why this job: Shape the future of AI technology and make a real impact on productivity solutions.
- Qualifications: Proven experience in product management and a strong grasp of AI technologies.
The predicted salary is between 70000 - 90000 £ per year.
AI Product Manager is required by a global technology innovation company to lead the delivery of a portfolio of AI-powered, agentic products leveraging LLMs, AI agents, data pipelines, and intelligent orchestration to automate complex tasks, enhance knowledge access, and increase productivity across the business.
You will be responsible for:
- Owning the product strategy, roadmap, and delivery for a suite of AI-powered productivity products.
- Leading the end-to-end product life cycle, from discovery and prioritisation through to launch and continuous improvement.
- Defining product vision, requirements, user stories, and success metrics for intelligent agentic solutions.
- Working closely with AI engineers, data teams, designers, and business stakeholders to deliver scalable, user-centric products.
- Driving the development of AI agents, including LLM-powered assistants, presentation automation, contextual knowledge agents, and orchestrated workflows that improve productivity.
- Conducting product discovery, validating opportunities, and staying ahead of developments in AI and agentic technologies.
- Communicating product strategy and progress effectively with senior stakeholders, building confidence and alignment across the business.
Required experience and skills:
- Extensive experience as a Product Manager, with a strong track record of delivering agentic AI-powered products.
- Strong understanding of modern AI technologies, including LLMs, agentic AI, and intelligent workflow automation.
- Experience building products that integrate AI models with enterprise data, knowledge systems, and business processes.
- Good knowledge of product management fundamentals, including roadmap ownership, backlog prioritisation, stakeholder management, and product discovery.
AI Product Manager employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Careerwise!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Careerwise would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Careerwise through your school's career services!
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager position at Careerwise. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Careerwise
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
