AI Product Manager

🕒 January 28

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GroupBy Inc.

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51 - 200 employees

GroupBy's cloud-native SaaS technology powers the world's most relevant and highly converting eCommerce websites. Our composable commerce-based Product Discovery Platform powered by Google Cloud Discovery AI, provides industry-leading features for data enrichment, search, recommendations, navigation, personalization, merchandising and search analytics. GroupBy’s next-generation search and recommendations platform creates seamless eCommerce experiences optimized for your business outcomes, including revenue, margin, and profit. We excel with complex, large-scale B2B configurations and in dynamic, high-volume B2C scenarios. Founded in 2013, GroupBy is headquartered in Toronto, Canada and has offices in Austin, Texas

📋 Description

• 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. • 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. • 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.

🎯 Requirements

• 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.