The AI Product Manager will oversee AI implementation in Conversational Commerce, ensuring quality and safety in AI deployment while driving product strategy and evaluation metrics.
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 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
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.
Top Skills
AI
Conversational Commerce
Llm
Ml
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
Drive AI platform innovation, reduce production time, ensure compliance, evaluate AI vendors, and enable broad AI adoption among teams.
Top Skills:
AIBedrockDockerFlinkJupyter NotebooksKafkaKubernetesMachine LearningMlflowPandasPythonRaySagemaker
Software
Own strategy and roadmap for user-facing apps, mini-products, and AI utilities; build lightweight apps to drive acquisition and engagement; design cross-product experiences; establish experimentation and rapid iteration models; partner with Growth; lead cross-functional teams; ensure enterprise UX, security, and reliability.
Marketing Tech • Software
Lead AI enablement for engineering and product teams by defining platform strategy, roadmaps, governance, and enablement. Drive adoption of AI-native tools, agentic workflows, and developer productivity improvements while measuring impact and ensuring safety and scalability.
Top Skills:
Ai,Ml,Multi-Agent Systems,Developer Tools,Devops,Sre,Telemetry,Agentic Workflows
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
