At a Glance
- Tasks: Lead the development of an AI-powered platform and shape its product strategy.
- Company: Global organisation at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team driving the future of agentic AI technology.
- Why this job: Be a key player in creating intelligent solutions that transform how businesses access knowledge.
- Qualifications: Strong product management experience with a focus on AI and data platforms.
The predicted salary is between 81000 - 99000 £ per year.
A Senior Product Manager is required to lead the development of an advanced, AI-powered platform for a global organisation.
The organisation is building a next-generation, data-driven knowledge agent that will provide employees across its global business with intelligent access to complex information and organisational knowledge.
You will own the product strategy and roadmap, taking the initial knowledge platform from development through to delivery and adoption, while shaping the longer-term vision for an expanding ecosystem of intelligent, interconnected agents.
Responsibilities
- Defining the product vision, strategy and roadmap for the AI-powered knowledge platform and wider agentic AI ecosystem.
- Leading the delivery of the first version of the knowledge platform for global use.
- Translating business needs into product requirements, priorities and delivery plans.
- Coordinating product workstreams, chairing delivery syncs and resolving day-to-day prioritisation conflicts.
- Acting as the escalation point for cross-workstream dependencies, ensuring alignment between Product Owners.
- Working closely with engineering, data and architecture teams to deliver the underlying knowledge infrastructure, including context graphs and semantic layers.
- Overseeing the expansion of natural language query capabilities across internal and external datasets.
- Ensuring AI agents can access and retrieve relevant information through governed, reliable and scalable data foundations.
- Using Claude, Claude Code or similar AI tools to prototype ideas, explore solutions and accelerate product development.
- Driving product adoption and ensuring delivered capabilities address real business needs and deliver value.
Required Experience and Skills
- Strong product management experience with a practical understanding of AI, agentic architectures and modern data platforms.
- Proven experience as a Senior Product Manager, Lead Product Manager or Product Director, delivering complex technology or AI-powered products.
- Strong understanding of generative AI, agentic AI, AI-powered applications and LLM-based solutions.
- Experience defining product strategy, managing roadmaps and leading delivery across multiple Product Owners and technical workstreams.
- Strong business-facing product management skills, with the ability to engage senior stakeholders and translate business objectives into technical delivery priorities.
- Practical experience using Claude, Claude Code or other AI-assisted development tools for prototyping, experimentation or product development.
- Ability to work effectively with engineering and architecture teams on data platforms, APIs and AI application architecture.
- Experience with data-driven products, knowledge management, semantic layers, knowledge graphs or natural language query solutions.
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Senior Product Manager – Agentic AI in London employer: Careerwise
As a Senior Engineer in Data Engineering, you will join a dynamic team dedicated to delivering impactful data solutions within a large-scale programme. Our company fosters a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, all while working in a secure environment that values innovation and excellence. Located in the UK, we offer a unique chance to contribute to significant public sector projects, ensuring your work is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager – Agentic AI in London
✨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 Senior Product Manager – Agentic AI in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager – Agentic AI, 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 Senior Product Manager – Agentic AI 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.
