At a Glance
- Tasks: Lead the strategy and development of innovative AI products in a dynamic environment.
- Company: Join a forward-thinking company revolutionising AI technology.
- Benefits: Enjoy a competitive salary of £140k plus benefits and remote work flexibility.
- Other info: Opportunity for occasional travel to London and excellent career growth.
- Why this job: Shape the future of AI and make a real impact in the tech industry.
- Qualifications: Experience in agentic AI products and strong product management skills required.
The predicted salary is between 140000 - 140000 £ per year.
Key conditions:
- Location: Remote (WFH) with occasional travel to London
- Permanent role
- Competitive salary & benefits: £140k + Benefits
We are looking for an experienced Agentic AI Product Manager to own the product strategy, define the roadmap, and lead the development of this innovative AI capability.
Key areas of responsibility:
- Define the Agentic AI product strategy and roadmap.
- Lead the delivery of the initial enterprise knowledge platform.
- Drive development of context graphs and semantic layers.
- Coordinate multiple Product Owners and technical workstreams.
- Make day-to-day product prioritisation decisions and align business and technology stakeholders.
- Take AI-powered products from concept through production and adoption.
What we're looking for:
- Proven experience delivering agentic AI products, AI agents or enterprise knowledge platforms.
- Strong product management background combining business and technical expertise.
- Hands-on familiarity with Claude, Claude Code, Cursor or similar AI-assisted development tools.
- Experience with LLMs, RAG, knowledge graphs, semantic search or AI orchestration.
- Healthcare or pharmaceutical experience would be a significant advantage.
Agentic AI Product Manager 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 Agentic AI Product Manager
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Careerwise or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Careerwise.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Careerwise.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Careerwise that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agentic AI Product Manager
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Careerwise.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Careerwise and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Careerwise
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Careerwise uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.