- Own the end-to-end product strategy for our agentic selling experiences.
- Set direction, sequence the roadmap, and resolve hard tradeoffs with limited precedent.
- Define what it means for AI agents to act on a seller’s behalf by designing agentic experiences that are transparent, controllable, and trustworthy.
- Implement guardrails, human-in-the-loop checkpoints, and evaluation criteria for agent quality.
- Select the methods, frameworks, and success metrics for work that doesn’t yet have an established playbook.
- Lead through influence as a cross-functional leader and coordinate pods across engineering, design, and data science.
- Guide and mentor other product managers without direct reporting authority.
Product Management