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For Companies At a Glance
- Tasks: Lead AI product strategy and ensure quality deployment across our Conversational Commerce platform.
- Company: Join Rezolve AI, a leader in AI-powered solutions transforming customer engagement.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI innovation and shape the future of commerce.
- Qualifications: 4-7 years in Product Management or Applied AI with hands-on experience in LLM systems.
- Other info: Dynamic team environment with a focus on collaboration and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
About Rezolve AI
Rezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth. The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiences. As a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments. With recent acquisitions of ViSenze, GroupBy and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagement.
About the Role
We are hiring an AI Product Manager to own the evaluation, quality, and safe deployment of AI across Rezolve’s Conversational Commerce platform. You will define how LLMs and agentic systems are used in production, set guardrails and quality standards, and own/go–no decisions for AI-driven changes. You will work closely with Product, Engineering, and AI teams to ensure Conversational Commerce delivers trusted, enterprise‑ready AI experiences. This is a high‑impact role with influence across product strategy, architecture, and execution.
Responsibilities
- AI Product Ownership & Strategy
- Own the evolution of AI capabilities within Conversational Commerce.
- Define how conversational and agentic AI translate into differentiated customer value.
- Partner with the Principal PM to shape roadmap priorities, sequencing, and trade‑offs.
- AI Evaluation, Quality & Decision Ownership
- Own the AI evaluation strategy, including:
- Success metrics
- Experiments and analysis
- Tying model performance to user and business outcomes
- Define and track core AI quality metrics (e.g. task success, hallucinations, latency).
- Own go/no-go decisions for AI changes (ship, rollback, iterate).
- Clearly communicate impact, risk, and trade‑offs to Product, Engineering, and Leadership.
- Own LLM safety testing.
- Define and evolve guardrails to ensure safe, reliable AI behaviour.
- Partner with engineering on grounding strategies, constraints, fallbacks, and escalation paths.
- Ensure AI systems are observable and improve over time.
- Contribute to decisions on how LLMs are deployed across conversational flows.
- Help shape the Conversational Commerce multi-agent framework, including:
- Agent roles and responsibilities
- Orchestration and task decomposition
- Tool usage boundaries
- Lead continuous discovery through customer research, usage analysis, and feedback loops.
- Validate that AI capabilities solve real, high‑impact customer problems.
- Translate AI strategy into clear requirements, roadmaps, and prioritized backlogs.
- Enable fast execution without compromising quality or trust.
About You
Essential
- 4–7+ years in Product Management, Applied AI, or ML‑adjacent roles.
- Hands‑on experience shipping LLM‑powered systems in production.
- Strong understanding of LLM failure modes, evaluation techniques, and mitigation strategies.
- Comfortable making trade‑offs across capability, cost, latency, and risk.
- Clear, confident communicator across technical and non‑technical teams.
First 6 months
- Clear AI evaluation and quality framework adopted across Conversational Commerce.
- Defined guardrails and safety standards enforced in production.
- Stable, observable conversational and agentic flows operating at scale.
- Confident go/no-go decision‑making for AI changes.
- Strong alignment across Product, Engineering, AI, and Commercial teams.
AI Product Manager in London employer: Rezolve Ai
Contact Detail:
Rezolve Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and product management space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your experience with LLMs and AI systems. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI evaluation strategies and quality metrics. Be ready to discuss how you’ve tackled challenges in past roles, especially around decision-making and risk management.
✨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 at Rezolve AI.
We think you need these skills to ace AI Product Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Product Manager role. Highlight your experience with LLMs and any relevant projects that showcase your skills in product management and AI. We want to see how you can bring value to our team!
Showcase Your Achievements: Don’t just list your responsibilities; share your successes! Use metrics and examples to demonstrate how you've positively impacted previous projects, especially those involving AI or machine learning. This helps us understand your potential impact at Rezolve.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly and efficiently. Plus, it shows us you're keen on joining our team at Rezolve!
How to prepare for a job interview at Rezolve Ai
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and agentic systems. Be ready to discuss how you've previously shipped AI-powered solutions and the challenges you faced. This role is all about understanding AI evaluation and quality, so having specific examples will really help you stand out.
✨Showcase Your Product Management Skills
Prepare to talk about your experience in product management, especially in AI or ML roles. Think of concrete examples where you defined product roadmaps, made trade-offs, and communicated effectively with both technical and non-technical teams. This will demonstrate your ability to own the evolution of AI capabilities.
✨Understand the Business Impact
Be ready to explain how AI can drive customer value and improve business outcomes. Think about success metrics and how you would evaluate AI performance. Showing that you can tie model performance to real-world results will impress the interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to make go/no-go decisions based on hypothetical AI changes. Practice articulating your thought process around risk, trade-offs, and safety standards. This will show that you can handle high-impact decision-making in a fast-paced environment.