Principal Product Manager

G-P

6d•$170,000 - $206,000•Remote

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.

Requirements

You can read code, reason about technical architecture, and partner as a true peer with engineering counterparts.
A proven track record of taking raw ideas from concept to early product-market fit, running discovery, and turning qualitative data into immediate execution.
You leverage modern AI primitives daily (e.g., Cursor agents, LLM orchestration) and treat AI as a structural foundation to build products.
Strong product sense and design ability. You develop mid-fidelity prototypes independently when required without a designer.
Exceptional ability to work with fragmented usage data, behavioral metrics, and qualitative research to generate fast insights.
Capable of breaking complex, friction-filled global industries down to their primitives and encoding those workflows into digital products.
You default to action, thrive in unmapped environments, and possess a massive tolerance for ambiguity.

Nice To Haves

Experience starting a venture-backed company or acting as the first product hire at an early-stage startup.
Experience building scrappy, self-serve funnels, setting up manual concierge MVPs, or running rapid landing page tests to capture demand.
Experience navigating fintech, marketplaces, web3, or heavily regulated global compliance frameworks.

Responsibilities

Drive the end-to-end H3 discovery process—framing the jobs-to-be-done (JTBD), building prototypes, and managing low-fidelity experiments.
Collaborate with your Engineering counterpart to ship weekly "sketchy V0s" and fake-door experiments rather than scalable V1s, optimizing for speed of validated learning.
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.
Obsess over a strict succession of metrics before considering delivery economics or monetization.
Actively evaluate data points from weekly probes to confidently make "Persevere, Pivot, or Kill" recommendations—treating a quick, low-cost "Kill" as a major win.
Maintain a disciplined focus on radical innovation, calling out and rejecting ideas that are merely incremental optimizations.