Senior Software Engineer

G-P

9h•$140,800 - $176,000•Remote

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.

Requirements

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.
You use modern AI development accelerators (e.g., Cursor, Claude, GitHub Copilot) daily to build software at startup velocity.
A proven track record of building apps, side projects, or early-stage software features from scratch.
Experience working with disparate datasets, writing quick data transformation scripts, and setting up clean analytics events to track how users interact with prototypes.
Ability to take real-world, friction-filled processes (like legal, compliance, or HR workflows) and rapidly translate them into elegant digital logic.
You default to action, require zero supervision to deploy software, and possess a massive tolerance for ambiguity and changing requirements.

Nice To Haves

Experience working as a technical co-founder or an early engineering hire at an early-stage startup.
Hands-on experience building prototypes that leverage LLM orchestration libraries (e.g., LangChain, LlamaIndex, Vercel AI SDK) or custom agentic workflows.
Proven ability to deploy, manage, and debug cloud-native prototypes autonomously using AWS services (e.g., ECS/Fargate, S3, Lambda or Bedrock)
Practical knowledge of rapidly integrating with diverse enterprise APIs (e.g., HRIS, fintech, identity management, CLMs) with a particular focus on fast auth and data mapping.

Responsibilities

Drive the technical discovery, design, API contracts, and rapid discovery of net-new business concepts.
Build and launch weekly "sketchy V0s," fake-door landing pages, and concierge MVPs designed strictly for speed of validated learning.
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.
Wire up fast integrations, stitch together APIs, configure authentication, and implement usage tracking and product-led analytics on the fly.
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.
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.