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Bobyard

AI-powered landscaping takeoff and estimation platform

Fullstack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Experience with or ability to learn scaled systems and system design, performance, and architecture.
  • Ability to take ownership, work through ambiguity and incomplete requirements, and deliver outcomes.
  • Ability to understand product goals and advocate for users.
  • Ability to work across frontend and infrastructure without handoffs.
  • Ability to learn new tools quickly, operate in a fast-paced environment, and sequence multiple priorities.

Responsibilities

  • Build, ship, and scale software using React, Django, and PostgreSQL.
  • Design APIs, data models, and infrastructure to perform under load.
  • Build and ship interfaces, focusing on performance, user experience, and architecture.
  • Partner with product, computer vision, and design to launch features.
  • Deploy, monitor, and debug production systems on AWS and GCP, ensuring reliability.
  • Prototype quickly, iterate with users, and invest in approaches that work.
  • Shape requirements when work begins with incomplete information.

About the Company

Bobyard

AI-powered landscaping takeoff and estimation platform

Bobyard offers an AI-powered takeoff and estimation platform for landscaping contractors. It automates the process of quantifying counts, lengths, and areas from landscaping plans so estimating teams can generate bids faster. The system uses AI trained on a large dataset of landscaping drawings to automatically extract measurements and quantities. A key feature is Pattern Search, which calculates square footage directly from plans. As a SaaS product, it provides tools to create accurate bids and scopes of work (SOWs), helping contractors increase their bidding capacity and streamline preconstruction tasks. Compared to competitors, Bobyard focuses specifically on landscaping, with automated measurement and SOW generation designed to speed up bidding and reduce manual work. The goal is to help landscaping professionals bid more quickly and accurately, enabling them to take on more projects and improve preconstruction efficiency.

Company size
51-200
Company stage
Series A
Total funding
$38.6M
Headquarters
San Francisco, CA
Founded
2023

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