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Senior Software Engineer

G-P
CompanyG-P
CategoryEngineering
LocationUnited States (Remote-First)
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted3 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About 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 permanent Horizon 3 (H3) Discovery Engine—an autonomous unit unconstrained by existing corporate assets, designed to explore big macroeconomic shifts, workforce evolutions, regulatory shocks, and AI-agent economies. This isn't an internal infrastructure team or a traditional engineering department; 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 engineering role working in a tight, single-threaded Pod alongside a Principal PM / Product Builder. You will have dedicated executive "air cover" to bypass traditional corporate roadblocks, legal procurement delays, and enterprise architectural overhead. This role demands extreme ownership, a relentless bias for shipping over talking, and a knack for building "sketchy V0s" that capture behavioral data rather than scale. If you want to spend months writing architecture design docs before typing a line of code, this isn't for you. What You Will Do: Extreme Product Ownership: Drive the technical discovery, design, API contracts, and rapid discovery of net-new business concepts. Ship Weekly Behavioral Probes: Collaborate with your PM counterpart to build and launch weekly "sketchy V0s," fake-door landing pages, and concierge MVPs designed strictly for speed of validated learning. Be an Eng Hacker: Prioritize speed over perfect architecture. Write clean enough code to test a hypothesis, but remain entirely willing to completely scrap and rewrite your stack when a project is killed or pivoted. Build the Scrappy Engine: Wire up fast integrations, stitch together APIs, configure authentication, and implement usage tracking and product-led analytics on the fly. Leverage Frontier Tech: Serve as the technical expert on the team, translating emerging primitives—like LLMs, multi-agent frameworks, decentralized protocols, and automation tools—into functional software prototypes. Participate in Discovery: Don't just sit in an IDE. Join user interviews, review behavioral data with your PM, and use first-principles thinking to help decide whether to Persevere, Pivot, or Kill a concept at the end of each week. What We're Looking For: Minimum Requirements: Full-Stack Prototyping Chops: You can spin up frontend interfaces, spin down databases, and configure API integrations completely on your own. You are a generalist who values functional software over specialization. Agentic AI Mastery: You use modern AI development accelerators (e.g., Cursor, Claude, GitHub Copilot) daily to build software at startup velocity. 0-to-1 Hacking Experience: A proven track record of building apps, side projects, or early-stage software features from scratch.  Data Integration Agility: Experience working with disparate datasets, writing quick data transformatio
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