Drive the AI-Led Strategy: Architect a product strategy that uses agentic workflows to replace manual tasks, enabling us to hit ambitious expansion goals.
Build the Expansion Signal Layer: Partner with GTM teams to define fit criteria and ship passive intent-capture mechanisms (limit-hitting, locked-feature clicks, manual workflow patterns).
Amplify Our Learning Through Experiments: Take our annual experiment count from the dozens to the hundreds.
Design for Agents First: Ensure every signal and meta-event is structured so an agent environment can query "what should this customer upgrade?" You're building for the agent-led HRIS of tomorrow.
Harden Data Foundations: Partner with Data Engineering and other departments to ensure behavioral data flows into our models.
Experiment Often: Establish our culture of experimentation as a learning mechanism.
Requirements
3+ Years of PM Experience: Ideally in growth, expansion, or monetization within a PLG or product-led sales environment.
AI as a Working Tool: You've already integrated AI into your daily product workflows — hypothesis generation, copy variants, data analysis, instrumentation drafts. You don't need to be an engineer; you need to think in terms of what AI makes possible.
Experimentation Fluency: You've run experiment programs and understand the mechanics of testing at scale — not just individual A/B tests, but building systems that generate learning.
Entrepreneurial Drive: You take initiative and create clarity when there isn't any. You switch easily between creative hypothesis generation and cold, analytical thinking.
Benefits
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life