Principal Product Engineer

FarmRaise

2d•$200,000 - $230,000•Remote

About The Position

FarmRaise is revolutionizing agriculture by transforming raw farm data into actionable intelligence. Our platform ingests agronomic, financial, and imagery data - from a farmer’s phone camera to their bank feed - and produces clean, structured insights that power financial access, compliance, and sustainability outcomes. At FarmRaise, our mission is to transform half of America’s cropland to sustainable practices by 2030. Each day, we’re building data infrastructure and AI-powered tools that make farm operations smarter and more resilient. Our team moves fast, does more with less, and is motivated by driving outcomes that truly matter. With a lean team and minimal budget, we’ve attracted tens of thousands of producers organically and partnered with agricultural lenders, buyers, and regulators including Blue Diamond Growers, BTC Bank, and the U.S. Department of Agriculture. We’re featured as the best all-around farm accounting solution by Nerdwallet and are backed by top investors such as Pear VC, Accel, Susa Ventures, and Better Tomorrow Ventures. Our team includes farmers, farmers’ kids, and technologists passionate about building a more profitable, sustainable future for agriculture. You’re obsessed with building AI-driven products that make a tangible difference in the real world. You’ve scaled early-stage startups from seed to Series B and thrive where technology meets messy, real-world data. You want to work on products that see, understand, and act — where machine learning meets everyday use. Startup Experience: You’ve played an engineering role in scaling a startup from seed to Series B. Comfortable with Ambiguity: When plans aren’t fully formed, you step up to collaborate with PMs or business stakeholders to shape them. You don’t wait for perfect processes before getting started and thrive in a rapidly evolving environment. Independent Problem Solver: When blockers arise, you’re not afraid to get involved in PM or design if needed to keep things moving. T-shaped Engineer: You have deep expertise in one area (e.g., specific backends, databases, or dev ops) but are comfortable working across the entire stack when necessary. Technical Leadership: You enjoy leading small project teams and can mentor others in writing efficient, clean, and scalable code.

Requirements

You’ve successfully scaled startups from Seed to Series B in an engineering role
Depth in one area (e.g., backend systems, databases, or DevOps) paired with the ability to work across the full stack
You have hands-on experience or familiarity with some of the following technologies: Frontend: React, Typescript, Next.js, Dart, Flutter Backend: Node.js, Kotlin, Spring Boot Cloud: AWS, GCP (Firestore, Cloud Functions) DevOps: Service configuration, CI/CD pipelines, monitoring, and deployment automation

Nice To Haves

Strong expertise in backend systems and DevOps (especially if you can teach us a thing or two about deploying and monitoring AI services at scale)
Experience leading small, focused teams in delivering key features quickly
Ability to maintain code quality and raise team standards via reviews and design discussions
Experience integrating LLMs or CV models
Knowledge of OCR, text extraction, or computer vision pipelines

Responsibilities

Collaborate with product, design, and business teams to identify where AI can deliver immediate user value (e.g., financial insights, sustainability compliance checks, farm-specific recommendations).
Lead efforts in maintaining SOC-2 Compliance
Drive the long-term technical direction for AI-enabled features across our platform, from computer vision to data parsing to intelligent recommendations.
Define technical specs for features and target dates, ensuring alignment between product and engineering teams.
Define architectural patterns for the platform, ensure scalability and reliability.
Provide technical leadership across teams, set engineering standards, mentor others, and raise the bar for the org.
Collaborate as needed with stakeholders to clarify goals and drive product development.
Contribute across the entire stack, from front-end to back-end, databases, and deployment.
Engage in code reviews and design discussions to raise team standards for lean, effective development.