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.
• Manage by Learning Milestones: Obsess over a strict succession of metrics before considering delivery economics or monetization.
• Ruthlessly Decide: 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.
• Defend Horizon 3 Boundaries: Maintain a disciplined focus on radical innovation, calling out and rejecting ideas that are merely incremental optimizations.

What We're Looking For:

Minimum Requirements:

• Engineering Background: You can read code, reason about technical architecture, and partner as a true peer with engineering counterparts.
• 0-to-1 Product Chops: A proven track record of taking raw ideas from concept to early product-market fit, running discovery, and turning qualitative data into immediate execution.
• Agentic AI Fluency: You leverage modern AI primitives daily (e.g., Cursor agents, LLM orchestration) and treat AI as a structural foundation to build products.
• Tastemaker: Strong product sense and design ability. You develop mid-fidelity prototypes independently when required without a designer.
• Core Data Analysis Skills: Exceptional ability to work with fragmented usage data, behavioral metrics, and qualitative research to generate fast insights.
• Process and Workflow Encoding: Capable of breaking complex, friction-filled global industries down to their primitives and encoding those workflows into digital products.
• Extreme Ownership and Speed: You default to action, thrive in unmapped environments, and possess a massive tolerance for ambiguity.

Preferred Qualifications:

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

The annual gross base salary range for this position is $170,000 - $206,000 plus variable compensation.