AI Product Manager
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Jan 28, 2026.
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.