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- Tasks: Lead AI evaluation and deployment in Conversational Commerce, ensuring quality and safety.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on AI-driven customer experiences and innovation.
- Qualifications: Experience in product management with a focus on AI/LLM systems.
- Other info: Collaborative environment with a strong emphasis on trust and safety.
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.
About the Role
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI product management. Think about how you'd handle real-world scenarios, especially around safety and evaluation of AI systems. We want you to shine!
✨Tip Number 3
Showcase your passion for AI and Conversational Commerce during interviews. Share your thoughts on the future of AI and how you can contribute to building trusted experiences. Let your enthusiasm be contagious!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI Product Manager – Conversational Commerce
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 how you can contribute to our mission. Be genuine and let your personality shine through!
Showcase Relevant Projects: If you've worked on any projects related to AI evaluation, safety, or conversational systems, make sure to mention them. We love seeing real-world examples of your work and how it connects to what we do.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at MPower Plus
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially around LLMs and conversational systems. Be ready to discuss how you've applied these in past roles or how you envision using them in this position.
✨Showcase Your Decision-Making Skills
Prepare examples of how you've made go/no-go decisions in previous projects. Highlight your thought process, the metrics you used, and how you communicated these decisions to stakeholders.
✨Understand Safety and Quality Metrics
Familiarise yourself with AI safety testing and quality metrics like task success and latency. Be prepared to discuss how you would implement guardrails and ensure reliable AI behaviour in a production environment.
✨Engage with Cross-Functional Teams
Since this role involves collaboration with various teams, think of examples where you've successfully worked across departments. Emphasise your communication skills and how you’ve driven projects forward by engaging with different stakeholders.
