At a Glance
- Tasks: Lead AI product initiatives from concept to launch, driving real business impact.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting career prospects.
- Why this job: Be a key player in transforming business with cutting-edge AI solutions.
- Qualifications: Experience in product management and a passion for AI technologies.
Accepting applications until: 3 July 2026
Your Role: Product Manager - AI
If you have a passion for harnessing AI to drive revenue growth and efficiency and excel at bridging user needs with technical possibilities to deliver real business impact, this role is for you. Embedded in our AI Integrations squad, you'll spearhead the delivery of AI-powered solutions from discovery to production.
Key Responsibilities (AI Product Owner)
- AI Opportunity Scouting & Prioritisation (25%) – Hunt for high‑value AI use‑cases across Global, size the upside (revenue £ / hours saved), and build business cases.
- Backlog Ownership & Delivery (25%) – Translate briefs into groomed epics and stories; drive features from MVP to production, tracking ROI gates.
- Workflow Optimisation & Playbooks (20%) – Map “as‑is” processes, design automated “to‑be” flows, and publish reusable templates (data permissions, model‑eval checklists).
- AI Evangelism & Enablement (15%) – Run “AI Clinics,” demos, and hands‑on workshops that excite teams to experiment safely with LLMs; issue a monthly AI‑radar briefing.
- Rapid Self‑Service Prototyping (10%) – Solve quick‑win use‑cases (e.g., smart ChatGPT prompts) before they escalate to full squad delivery, keeping the roadmap focused on high impact.
- Market & Tool Horizon‑Scanning (5%) – Track emerging models, tools, and licensing trends; inject fresh insights into squad decisions.
What You’ll Love About This Role
- Think Big: Innovate with AI solutions that can transform our business and drive growth.
- Own It: Lead products end‑to‑end – from idea to launch – and see the direct impact of the AI initiatives you champion.
- Keep It Simple: Turn complex AI capabilities into simple, user‑friendly tools and processes that anyone can use.
- Better Together: Collaborate with diverse teams across Global, where every perspective is valued.
What Success Looks Like
In your first few months, you'll have:
- Identified promising AI opportunities and estimated the ROI for each.
- Built a product roadmap and delivered a pilot from discovery to launch.
- Improved team efficiency with a standard AI project scoping process and built stakeholder trust through clear communication and quick wins.
What You’ll Need
- Product Management Success – Proven record of shipping tech or data‑driven features that moved revenue or efficiency metrics.
- AI Prompt‑Engineering Fluency – Comfortable crafting advanced prompts and chaining tools (e.g. ChatGPT, Claude, Gemini) to squeeze maximum performance from off‑the‑shelf models.
- Stakeholder Engagement – Clear, compelling communicator who aligns commercial, content, and engineering teams and manages expectations.
- Technical Acumen – Conversant in LLM/RAG concepts, latency‑cost trade‑offs, and API‑vs. UI‑based product considerations.
- Agile Planning & Delivery – Turns vision into a groomed backlog; drives iterative releases, tracks ROI gates, and adapts quickly to feedback.
- Process Improvement & Automation Mindset – Skilled at mapping workflows, spotting friction, and designing smart automations that scale.
- Adaptability & Thought Leadership – Self‑starter who stays current with the fast‑moving AI landscape and inspires others with fresh insights.
Product Manager - AI in London employer: MOBOLISE
Join a forward-thinking company that champions innovation and collaboration, where as a Product Manager - AI, you'll have the opportunity to lead transformative AI initiatives that drive real business impact. Our inclusive work culture values diverse perspectives and encourages continuous learning, providing you with ample opportunities for professional growth and development. Located in a dynamic environment, we offer a unique chance to work at the forefront of AI technology while enjoying a supportive atmosphere that fosters creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - 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 MOBOLISE!
✨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 MOBOLISE 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 MOBOLISE through your school's career services!
We think you need these skills to ace Product Manager - AI in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager - 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 Product Manager - AI position at MOBOLISE. 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 MOBOLISE
✨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.
