Staff Product Manager, Agentic Experiences

About the role

You will own the end-to-end product strategy for agentic experiences that define how AI acts on behalf of sellers in the field. You will set the direction and sequence the roadmap for AI agents in a fast-moving problem space with limited precedent. You will design agentic experiences that are transparent, controllable, and trustworthy, embedding the right guardrails and human-in-the-loop checkpoints. You will lead through influence across engineering, design, and data science without direct reporting authority. You will pressure-test your approach using peer and cross-functional review to validate methods and metrics. You will exercise deep product judgment to select frameworks and success metrics for work that has not yet had an established playbook. You will help define what the future of agentic selling looks like for a Predictive Revenue System used by thousands of customers.

Key facts

What you'll do

Define the end-to-end product strategy for agentic selling experiences and set the roadmap in a fast-moving, ambiguous space.

Design agentic experiences that are transparent, controllable, and trustworthy, with guardrails, human-in-the-loop checkpoints, and evaluation criteria for agent quality.

Select methods, frameworks, and success metrics for novel problems where no established playbook exists.

Lead through influence as a cross-functional leader coordinating product, engineering, design, and data science pods.

Guide and mentor other product managers across the organization without direct reporting authority.

Pressure-test product approaches through peer and cross-functional review to ensure robustness and alignment.

Own complex tradeoffs with limited precedent, balancing seller needs, AI capabilities, and business outcomes.

Translate the Revenue Context into agent behaviors, controls, and workflows that sellers can understand and trust.

Define what it means for AI agents to act on a seller's behalf with clear boundaries, oversight, and explainability.

Help shape the future of agentic selling by building the platform that guides leading revenue teams globally.

Collaborate closely with data science to design experiments that validate agent performance and user outcomes.

Partner with sales leaders and sellers to gather feedback and refine agentic experiences based on real-world usage.

Champion product quality and reliability by defining evaluation criteria and continuous improvement loops for agent behavior.

Drive alignment across teams on product principles, guardrails, and expectations for AI agent interactions.

Contribute to the vision and execution of the Predictive Revenue System that combines insights, scale, and AI innovation.

Requirements

You must have experience as a product manager in a complex, ambiguous environment where there was no established playbook.

You must have deep experience defining product strategy and roadmaps for AI or agentic systems.

You must have strong experience leading cross-functional teams through influence and collaboration.

You must have a track record of making product decisions with incomplete data and limited precedent.

You must have experience working with data and metrics to define success and evaluate agent performance.

You must have excellent written and verbal communication skills to articulate vision and tradeoffs to diverse stakeholders.

You must have experience mentoring or guiding other product managers in a matrixed organization.

You must be comfortable working in a fast-paced, high-growth environment with shifting priorities.

You must have a strong understanding of AI capabilities, limitations, and implications for product design.

You must be able to translate complex concepts into clear product requirements and user experiences.

You must have a demonstrated commitment to building trustworthy and transparent AI experiences.

You must be able to exercise sound product judgment and make decisions aligned with long-term vision and revenue outcomes.

You must have experience collaborating with engineering and data science to deliver scalable, reliable product solutions.

You must be passionate about enabling sellers and improving buying experiences at scale.

Nice to have

Experience in sales operations, revenue operations, or CRM ecosystems.

Background in designing human-in-the-loop systems and evaluation frameworks for AI agents.

Experience with experimentation and causal inference methods to measure agent impact.

Familiarity with industry-specific revenue workflows and compliance considerations.

Experience contributing to open-source or developer-facing product experiences.

Practical notes

This is a fully remote opportunity and can be worked from any location in the United States.