AI Product Manager

🔒 Confidential Employer
Posted 3 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

LLM evaluation techniques Product Management AI Quality Metrics Guardrail definition Multi-agent orchestration Customer discovery Requirement prioritization Technical communication

FULL DESCRIPTION

Job Title: AI Product Manager

Company: [Employer hidden — view at passion-project.co.uk]

Location: London, UK

Work Type: Hybrid

Job Type: Full-time

Experience Level: Mid-Senior level

About [Employer hidden]

[Employer hidden] (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 behaviour. 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 conversational flows. Help shape the Conversational Commerce multi-agent framework, including agent roles and responsibilities, orchestration and task decomposition, and 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

[Employer hidden] Home Page

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