AI Product Manager

AnaVation LLC; Greater London; On-site; GBP 80,000 - GBP 95,000; Full time

Job summary

A leading technology company in Greater London is seeking an AI Product Manager to own and enhance AI capabilities within their Conversational Commerce platform. This pivotal role includes defining AI evaluation strategies, setting quality standards, and ensuring safe deployment of AI systems. Ideal candidates will have substantial experience in Product Management and applied AI, with a track record of shipping LLM-powered solutions in production. The position offers significant influence over product strategy and architecture.

Qualifications

• 4–7 years in Product Management or ML-adjacent roles.
• Experience with LLM-powered systems in production.
• Understanding of LLM failure modes and evaluation techniques.

Responsibilities

• Own AI capabilities within Conversational Commerce.
• Define success metrics and track AI quality metrics.
• Lead customer research and validate AI capabilities.

Skills

Product Management

Applied AI

Machine Learning

Communication

Job description

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-go 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.
• Model Safety & Guardrails
  • Own LLM safety testing.
  • Define and evolve guardrails to ensure safe, reliable AI behavior.
  • Partner with engineering on grounding strategies, constraints, fallbacks, and escalation paths.
  • Ensure AI systems are observable and improve over time.
• Conversational & Multi‑Agent Systems
  • Contribute to decisions on how LLMs are deployed across conversationalli>
  • Help shape the Conversational Commerce multi‑agent framework, including:
    • Agent roles and responsibilities
    • Orchestration and task decomposition
    • Tool usage boundaries
  • Ensure agentic systems are testable, debuggable, and scalable.
• Discovery & Execution
  • 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.