Senior Product Manager, AI Agents

Zendesk Zendesk · Enterprise · Berlin, Germany +5 · Remote

Product Manager for AI Agents focusing on configuration and personalization features, enabling customers to precisely manage AI agents' tone, empathy, behavior, and configuration. This role involves building robust, usable configuration frameworks and tools for B2B SaaS platforms.

What you'd actually do

  1. Define and execute the product strategy for agent configuration and personalization – including advanced controls for agent personality, tone, empathy, and behavior.
  2. Enable customers to configure their AI agents’ conversational style and settings with intuitive tools (e.g., custom instructions, empathy controls, domain-specific guidance, localization).
  3. Collaborate cross-functionally to integrate configuration and personality features into LLM-driven behaviors, permissions frameworks, and admin governance.
  4. Develop and iterate on UI surfaces and backend frameworks supporting flexible, reliable agent configuration and management.
  5. Establish and measure KPIs for agent adoption, configuration depth, effective personalization, and customer satisfaction.

Skills

Required

  • product management experience delivering AI, automation, and/or B2B SaaS platforms
  • familiarity with LLM technologies, configuration frameworks, and conversational or agentic AI
  • experience building personalization or tone-related features
  • ability to lead zero-to-one product initiatives, rapid iteration, and ongoing customer discovery with tangible results
  • data-driven, user-centric mindset
  • excellent communicator and collaborator

Nice to have

  • Experience building UX for agent personality, tone, or persona in AI-powered products
  • Knowledge of retrieval-augmented generation (RAG), LLM prompt tuning, or agent safety and compliance
  • Background in customer service product development or platform extensibility

What the JD emphasized

  • strong product discovery mindset
  • stay close to customers
  • AI-powered prototyping and tooling
  • strong familiarity with LLM technologies
  • conversational or agentic AI
  • building personalization or tone-related features
  • lead zero-to-one product initiatives
  • rapid iteration
  • ongoing customer discovery
  • tangible results
  • data-driven, user-centric mindset
  • translate technical AI capabilities into practical, customer-facing controls

Other signals

  • AI agents
  • configuration and personalization
  • LLM technologies