Related skills
prompt engineering rag conversational ai llm agent frameworks📋 Description
- Own AI Assist: vision, roadmap, delivery, adoption.
- Define copilot features for CXone users and use cases.
- Scale AI Assist across products, personas, surfaces.
- Lead Cognigy agent experience: agent-building, traces, LLM platform.
- Collaborate with engineering and design; prototype ideas with AI tooling.
- Set the bar for product craft; mentor PMs on the team.
🎯 Requirements
- Lead PM in conversational AI; shipped production product.
- Hands-on with LLM-native design, prompts, evals, architecture.
- Enterprise SaaS background: multi-tenant, configurable, integrations.
- Led cross-functional, distributed teams; owned outcomes.
- Strong product judgment; thrives in ambiguity.
- Prototype mindset; work with traces, embeddings, observability.
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