Sales Development Representative (SDR) - AI Construction Takeoffs
Job Description
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Bobyard is building AI to automate construction takeoffs — a process contractors still spend dozens of hours doing manually for each project. Our system combines computer vision and multiple models to analyze drawings and produce results that are faster and often more accurate than traditional workflows.
In this role, your goal is to generate as many high-quality demos as possible for our Account Executives through outbound channels such as cold calls, email, LinkedIn, and other creative approaches. You’ll be introducing contractors to a product that consistently delivers immediate value in demos, reflected in strong conversion rates.
It’s a great role for someone who enjoys outbound sales, moving fast, and building real pipelines in a high-growth environment.
Desired Attributes
Sales experience: 1+ year in SDR, sales, or customer-facing role (SaaS preferred)
Strong communication: clear, direct, and confident
Work ethic: comfortable with high outbound activity and fast pace
Ownership mindset: willing to do what it takes to win (calls, events, creative outreach)
Highly organized and coachable
Construction or landscaping experience is a plus
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Bobyard
View Company ProfileBobyard (operating at bobyard.com) is an AI-powered construction software platform engineered for trade contractors seeking to scale bid capacity without expanding manual estimating teams. Founded in 2023 by Michael Ding, a Stanford-trained engineer, and headquartered in Menlo Park, California, Bobyard automates the most labor-intensive aspects of construction estimating—traditionally handled by human estimators. Under the hood, the platform leverages custom AI models trained on millions of construction drawings to automate measurement and counting tasks, including plant counts, irrigation lengths, and material takeoffs. This eliminates weeks of manual work, reducing errors and accelerating project bids. General contractors and finishing trades rely on Bobyard to estimate faster and more accurately, gaining a competitive edge in a fast-moving industry. Backed by a $35 million Series A funding round, the company is positioned to redefine how construction estimates are generated at scale.
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