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- Tasks: Lead AI evaluation and deployment in Conversational Commerce, ensuring quality and safety.
- Company: Innovative tech firm focused on shaping the future of conversational AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by driving AI innovation in a high-stakes environment.
- Qualifications: Experience in product management with a focus on AI/LLM systems.
- Other info: Collaborative culture with significant influence on product strategy and execution.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled AI Product Manager to lead the evaluation, quality, and safe deployment of AI across our Conversational Commerce platform. This is a high-impact, cross-functional role where you will define how LLMs and agentic systems are used in production, establish guardrails, and own the go/no-go decisions for AI-powered features.
If you’re passionate about building trusted, enterprise-ready AI experiences and shaping the future of conversational and agentic AI—this role is for you.
As the AI Product Manager, you will be responsible for the strategy, evaluation, safety, and lifecycle management of AI models within the Conversational Commerce ecosystem. You will collaborate closely with Product, Engineering, and AI teams to ensure our platform delivers high-quality, reliable, and secure AI-driven interactions for enterprise customers. This role offers significant influence across product strategy, architecture, and execution.
- Own the evolution of AI capabilities within Conversational Commerce.
- Translate conversational and agentic AI into differentiated customer value.
- Partner with the Principal Product Manager on roadmap prioritization and trade-offs.
AI Evaluation, Quality & Decision-Making
- Own the end-to-end AI evaluation strategy, including success metrics and experimentation.
- Connect model performance to user and business outcomes.
- Define and track AI quality metrics (task success, hallucinations, latency).
- Lead go/no-go decisions for AI releases (ship, rollback, iterate).
- Communicate impact, risks, and trade-offs clearly to stakeholders.
Model Safety & Guardrails
- Lead LLM safety testing: hallucination detection, jailbreak/adversarial checks, brand & compliance scenarios.
- Define and evolve guardrails for safe, reliable AI behavior.
- Collaborate with Engineering on grounding strategies, constraints, fallback paths, and escalation workflows.
- Ensure AI systems are observable, monitored, and continuously improving.
Conversational & Multi-Agent Systems
- Contribute to how LLMs power conversational flows across the platform.
- Shape the multi-agent framework, including roles, orchestration, task decomposition, and tool boundaries.
- Ensure agentic systems are testable, debuggable, and scalable.
Discovery & Delivery
- Drive continuous discovery via customer research, analytics, and feedback loops.
- Validate AI capabilities against real customer problems.
- Translate strategy into clear requirements, roadmaps, and prioritized backlogs.
- Enable rapid, high-quality execution without compromising trust or safety.
Who You Are
- Experienced in product management with strong exposure to AI/LLM systems.
- Able to balance rapid innovation with risk, safety, and enterprise readiness.
- Comfortable driving decisions, owning outcomes, and communicating with senior leaders.
- Passionate about building trustworthy AI that delivers meaningful customer impact.
If you’re excited to shape the future of Conversational Commerce with cutting-edge AI, we’d love to hear from you.
AI Product Manager – Conversational Commerce in London employer: MPower Plus
Contact Detail:
MPower Plus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager – Conversational Commerce in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI product management. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your passion for AI and Conversational Commerce during interviews. Share your insights on recent trends and how they could impact the industry. We want to see your enthusiasm and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Product Manager – Conversational Commerce in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Product Manager role. Highlight your experience with AI/LLM systems and product management to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about conversational commerce and AI. Share specific examples of how you've driven innovation while balancing safety and enterprise readiness.
Showcase Your Decision-Making Skills: In your application, emphasise your ability to make go/no-go decisions and communicate risks clearly. We want to see how you’ve navigated complex product challenges in the past!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at MPower Plus
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and LLM systems. Be ready to discuss how you've previously evaluated AI models and the metrics you used to measure their success. This role is all about understanding the tech, so show them you know your stuff!
✨Showcase Your Product Management Skills
Prepare examples from your past experiences where you successfully managed product lifecycles, especially in AI contexts. Highlight how you balanced innovation with safety and risk management. They want to see that you can drive decisions and own outcomes.
✨Communicate Clearly
Practice articulating complex ideas simply and clearly. You’ll need to explain AI concepts and their implications to various stakeholders, so being able to communicate impact, risks, and trade-offs effectively is key. Think about how you can make technical details accessible.
✨Be Ready for Scenario Questions
Expect questions that put you in real-world scenarios related to AI safety and decision-making. Prepare to discuss how you would handle hallucination detection or define guardrails for AI behaviour. This will demonstrate your critical thinking and problem-solving skills in action.
