Product Owner (Agentic Chat UX)

Intempt Technologies, LLC.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Intempt Technologies, LLC. is seeking a product leader to own the experience of our agentic AI layer used by marketers. You will shape how AI agents talk, respond, and act, balancing autonomy with user control and recovery from mistakes.

You will define the UX contract between humans and AI agents, drive cross-functional work with engineering, design, and ML, and lead research to observe real user interactions and translate findings into product decisions.

Qualifications

• 3+ years owning product in B2B SaaS and shipping features end to end.
• Experience with AI/LLM-powered products and UX of non-deterministic systems.
• Strong writing ability to translate AI behavior into concrete specs.

Responsibilities

• Define product direction for agentic chat experiences across the platform.
• Design conversation flows: how agents present options and surface results.
• Oversee tool-use UX: when tools are called and progress is shown; audit results.

Skills

Product ownership

AI/LLM UX

Conversation UX

Tool-calling understanding

Prompt engineering

Cross-functional coordination

Job description

Intempt has 9 AI agents marketers talk to every day. Own the product experience of that entire agentic layer.

Intempt has 9 AI agents that marketers talk to every day - they ask questions, launch campaigns, pull reports, and build audiences through conversation. You'll own the product experience of that entire agentic layer.

This is not generic product management. You need to understand how LLMs behave, what tool-use patterns feel natural to non-technical users, and where AI should act autonomously vs. ask for confirmation. You'll define the UX contract between human and agent - what the agent says, when it acts, how it recovers from mistakes, and when it shuts up and lets the user work.

• Product direction for all agentic chat experiences across the platform
• Conversation design - how agents present options, ask clarifying questions, and surface results
• Tool-use UX - when agents call tools, how they show progress, and how users inspect what happened
• Error and recovery patterns - what happens when the model is wrong, slow, or confused
• Spec writing and cross-functional coordination with engineering, design, and ML
• User research - watch real users interact with agents and turn observations into product decisions
• 3+ years owning product in B2B SaaS - you've shipped features end to end
• Someone who has worked on AI/LLM-powered products and understands the UX of non-deterministic systems
• Deeply opinionated about conversation UX - you've thought about when chat is the right interface and when it isn't
• Technical enough to understand tool-calling, context windows, and prompt engineering tradeoffs
• A clear writer who can turn ambiguous AI behavior into concrete product specs
• You've never shipped a product where the AI's output was part of the core UX
• You need a design team to define every screen before you can write a spec