At a Glance
- Tasks: Lead the development of innovative AI solutions and shape enterprise products from concept to deployment.
- Company: Leading management consultancy focused on cutting-edge AI technologies.
- Benefits: Competitive pay rate, remote work flexibility, and potential for contract extensions.
- Other info: Opportunity to work with cross-functional teams and senior stakeholders.
- Why this job: Make a real impact in the AI space and drive productivity improvements.
- Qualifications: Proven experience in product management and delivering AI solutions.
The predicted salary is between 70000 - 90000 £ per year.
Key conditions:
- Pay Rate - £600/day outside IR35
- Duration - 12 months with possible extensions
- Location - Remote (WFH) with occasional travel to London
Role to lead the development of agentic AI solutions within a leading management consultancy. We're looking for an experienced Agentic AI Product Manager to lead the strategy, roadmap, and delivery of next-generation Agentic AI, Generative AI, LLM, and Multi-Agent solutions. This is a unique opportunity to shape enterprise AI products from concept through to production deployment, working with cross-functional teams and senior business stakeholders. This role is focused on smart and driven product managers to deliver a suite of agents to improve productivity in a Management consultancy.
What You'll Do
- Define and execute the product vision, strategy, and roadmap for AI-powered products.
- Lead the development and delivery of Agentic AI, AI Agents, Multi-Agent Systems, LLM, and RAG-based solutions.
- Drive product discovery, customer research, prioritisation, and business case development.
- Partner with Engineering, Data Science, Design, and Business teams to deliver scalable AI products.
- Translate complex business challenges into innovative AI-powered solutions.
- Own the end-to-end product life cycle from ideation to production deployment and adoption.
- Define product KPIs, AI evaluation metrics, and success measures.
- Present product strategy and roadmap to executive stakeholders.
We're particularly looking for someone who:
- Proven experience as a Product Manager (core skill set).
- Proven experience delivering AI, GenAI, LLM, Agentic AI, or RAG-based products.
- Must have successfully productionised and delivered AI Agents and/or Multi-Agent solutions into enterprise production environments.
- Strong experience defining AI product strategy, vision, and roadmaps.
- Background in Management Consulting (eg, Big 4 or Tier 1/2 Management Consulting firm).
- Strong understanding of agentic AI/automation/LLM-based solutions.
- Exceptional communication & stakeholder management skills.
Agentic AI Product Manage 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 Agentic AI Product Manage
✨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 Manage
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.
