Principal Product Manager
Globalization PartnersAbout Us
Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.
About The Position
We are building G-P’s Horizon 3 (H3) Discovery Engine—an autonomous unit unconstrained by existing corporate assets, designed to explore radical macroeconomic shifts and AI-agent economies. This isn't an internal strategy team or a think tank; it is an agile builder pod that shifts code, breaks assumptions, and runs fast, low-fidelity experiments to find product market fit.
This is a co-founder-level PM role working in a tight, single-threaded Pod alongside a Software Engineer II / Product Builder. You will have dedicated "air cover" to bypass traditional corporate roadblocks and build net-new business concepts from 0 to 1. This role demands extreme ownership, a relentless bias for action, and an obsession with behavioral validation over internal alignment. If you need permission to act, this isn't for you.
What You Will Do:
- Extreme Product Ownership: Drive the end-to-end H3 discovery process—framing the jobs-to-be-done (JTBD), building prototypes, and managing low-fidelity experiments.
- Run Behavioral Probes: Collaborate with your Engineering counterpart to ship weekly "sketchy V0s" and fake-door experiments rather than scalable V1s, optimizing for speed of validated learning.
- Gather Customer Insights: Talk to target users, alpha participants, and industry edge-cases constantly. Build deep qualitative empathy to uncover latent human needs from real workflows, not feature requests.
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