Lead Data Engineer, Analytics & Insights

🏢 Agtonomy · 📍 South San Francisco, CA · 💼 hybrid · ⏰ Full Time 💰 $160,000 - $210,000 / yr
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Position Summary & Responsibilities

About Us

Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We're looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact.

About the Role

Our fleet produces a continuous stream of data, and we're looking for a senior IC to own how that data becomes insight: for customers, partners, operations, engineering, and leadership. You'll be the bridge between the raw telemetry coming off our machines and the metrics, dashboards, and answers the rest of the company relies on.

This is a hands-on role. You'll design the schemas, model the metrics, and ship the React dashboards yourself. You'll also own accountability for the numbers: every metric that leaves your hands needs to be accurate, trustworthy, and defensible when a customer or executive asks how it was calculated. That standard is the most important thing this role brings to Agtonomy.

🎯 Candidate Preparation Guide For Agtonomy Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluates cutting-edge robotics, AI, and autonomous vehicle software applied specifically to heavy machinery and agricultural equipment.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Designing complex robotics solutions that fail to account for dust, mud, vibration, and GPS-denied farm environments.
  • 2. Being overly academic with zero appreciation for rapid, iterative field testing.
  • 3. Missing core safety-critical mindset requirements for autonomous heavy machinery.
✨ Recommended Role Alignment Hook:

I build robust autonomy stacks that solve real-world perception and control challenges for off-highway machinery.

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