farmraise - Principal Product Engineer
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Requirements
• We’re looking for a teammate who has the following experiences, tools, and skills (please note: if you don’t meet all of these qualities, we still encourage you to apply as we’re excited to consider applicants from a wide range of backgrounds). • 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 • 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 • A close-knit, fully remote team with regular pairing sessions and opportunities for connection. • A high-autonomy role where you can take ownership of projects. • A chance to help shape the engineering team as we grow. • Collaboration with product, design, and business teams to build meaningful solutions. • A remote-first, flexible work environment.
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. • Compensation $200,000 - $230,000 per year and equity granted via the company’s employee stock option pool. • Fully remote with regular all-team retreats. • Excellent benefits including health insurance, coworking stipend, educational stipend, and 401K with full company match. • WHAT SUCCESS LOOKS LIKE • In three months • You understand how our software fits together, have shipped multiple features across the platform, and gained confidence working within our codebases. • You’ve built trust with our team by bringing clarity to technical decision-making and shaping an AI roadmap. • You’re planning and executing features that align with both business and architectural goals. • You are establishing architectural guidelines and influencing the roadmap to reflect technical realities. • You’ve elevated our engineering culture by introducing tools, frameworks, and best practices for AI-native development. • You’re owning features end-to-end and contributing to others' projects. • You’ve launched production-level AI workflows that save farmers time and unlock measurable financial outcomes. • You’re influencing technical strategy, introducing scalable practices, and raising org-wide engineering quality. • You are anticipating technical debt, proactively shaping the roadmap, and ensuring today’s solutions have a plan for scalability. • You’re a resource for others in key areas of our codebase. • You’re elevating the team’s performance through reviews, mentorship, and leadership, driving innovation in both process and product.
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