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Head of Engineering Equity at BUILD, Inc.

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Backend Developer, Software Architect, AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 225000 - 325000 USD Yearly USD 225000.00 325000.00 YEAR
Job Description & How to Apply Below
Position: Head of Engineering ($225k-$325k + Equity) at BUILD, Inc.

Job Title

Head of Engineering

Salary

$225k-$325k + Equity

Company Description

BUILD, Inc. is a high-growth AI startup backed by Index Ventures and leaders from Blackstone and OpenAI. Founded in late 2024, they are building an agentic AI stack for institutional real estate, already generating 7‑figure revenue and automating complex development workflows 90% faster for global asset managers.

Job Description

As Head of Engineering, you will own the technical execution of Build’s agentic AI platform. You’ll architect scalable systems, lead a high‑output engineering team, and encode complex real estate domain logic into production‑grade software. This hands‑on leadership role is critical for scaling a product that institutional clients trust with multi‑billion dollar decisions.

Location

San Francisco and New York City, USA

Why this role is remarkable
  • Join a seed‑stage powerhouse backed by Index Ventures and C‑suite leaders from Blackstone and OpenAI, scaling from 7‑figures toward 8‑figures in revenue.
  • Work directly with founders who scaled companies like 11x.ai and Gorillas, operating in a high‑intensity environment that ships faster than teams ten times its size.
  • Shape a generational company at the intersection of AI and the $300T+ built world asset class, turning digital infrastructure and energy projects into reality.
What You Will Do
  • Own the engineering function end‑to‑end, including architecture, infrastructure, security, and execution velocity for a production‑grade agentic AI platform.
  • Hire and lead an elite, high‑output engineering team, setting a technical bar focused on judgment, depth, and extreme ownership.
  • Partner with product and domain leads to translate institutional real estate workflows into robust, observable AI systems that handle real‑world load.
The ideal candidate
  • Proven experience scaling a vertical AI company (e.g., Harvey, Sierra, or Glean) through major growth phases, with deep expertise in LLM production systems.
  • A hands‑on technical leader who still codes and can debug production issues while simultaneously making high‑level architectural tradeoffs and hiring decisions.
  • Extensive B2B or enterprise experience shipping software that institutional clients trust with high‑stakes financial and regulatory data.
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