Staff Software Engineer - New Product Discovery

Field Nation•Minnesota, MN

2d•$143,000 - $200,000•Hybrid

About The Position

Who we are: Field Nation brings companies and service professionals together through an integrated, easy-to-use platform. We support businesses looking to grow their service offerings while also empowering technicians to leverage their skills on their own terms. Our mission is to help the service delivery industry do great work, and we live that mission by doing great work for the companies and service professionals that depend on us. Why is this role important to Field Nation? The Staff Software Engineer - New Product Discovery is a unique, high-impact role designed to act as a catalyst for our future growth. Unlike traditional engineering roles focused on long-term maintenance and incremental feature work, this position works on the "edge" of our product strategy. You will partner directly with business leaders to take abstract ideas and turn them into tangible realities - fast. We are looking for a builder who thrives in the "0 to 1" phase of development. You won't just be writing code; you will be validating business hypotheses, experimenting with new technologies, and leveraging AI to iterate at a speed previously thought impossible. You will help us discover what to build next. What you'll get to do: Lead 0 to 1 Innovation: Take ownership of greenfield projects, taking them from a napkin sketch to a functional prototype and MVP. You will be the technical engine behind our most experimental initiatives, guiding fellow engineers to rapidly understand the problem space and technical approach required to validate the core hypothesis. Leverage AI-First Development: Heavily utilize AI coding assistants (Copilot, Cursor, ChatGPT, etc.) to accelerate the coding process. Your goal is to ship functional code fast, prioritizing speed of learning over architectural perfection in the early stages. Rapid Prototyping & Experimentation: Build "throw-away" code intentionally. You understand that the goal of an MVP is to validate a business need, not to build a legacy system. You will iterate quickly based on feedback, pivot when necessary, and discard solutions that don't work. Partner with Business Leaders: Work lock-step with Product, Strategy, and Customer-facing partners. You will translate their business problems into technical solutions in real-time, acting as a technical co-founder for internal innovation projects. Validate Market Needs: Focus relentlessly on the "Why." You will build tools not just for the sake of technology, but to prove or disprove the value of a new offering for our customers. Transition to Scale: Once a concept is validated and proven valuable, you will work with core engineering teams to hand off the "blueprint" for scalable implementation, or mature the MVP into a production-ready service.

Requirements

Staff-Level Engineering Experience: 8+ years of software development experience with a strong track record of shipping full-stack applications from scratch.
Speed & Agility: A mindset that values "done" over "perfect" during the discovery phase. You are comfortable working with ambiguity and changing requirements daily.
AI Proficiency: Demonstrated interest or experience in using AI tools to multiply your output. You view AI as a pair programmer that handles the boilerplate while you focus on the logic and user value.
Full-Stack Versatility: Deep experience with modern web technologies (React, Node.js , Python, or PHP) and the ability to spin up your own infrastructure (AWS, Docker) to get an app live independently.
Business Acumen: You care about the business mechanics as much as the code. You can speak the language of stakeholders and understand the ROI of the features you build.
Fearlessness: You aren't afraid to delete your code. You understand that in innovation, learning what doesn't work is just as valuable as finding what does.

Responsibilities

Lead 0 to 1 Innovation: Take ownership of greenfield projects, taking them from a napkin sketch to a functional prototype and MVP.
Leverage AI-First Development: Heavily utilize AI coding assistants (Copilot, Cursor, ChatGPT, etc.) to accelerate the coding process.
Rapid Prototyping & Experimentation: Build "throw-away" code intentionally.
Partner with Business Leaders: Work lock-step with Product, Strategy, and Customer-facing partners.
Validate Market Needs: Focus relentlessly on the "Why."
Transition to Scale: Once a concept is validated and proven valuable, you will work with core engineering teams to hand off the "blueprint" for scalable implementation, or mature the MVP into a production-ready service.