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Head of Engineering ($215K–$260K + Equity) at Infilla

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-08-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 215000 - 260000 USD Yearly USD 215000.00 260000.00 YEAR
Job Description & How to Apply Below

Head of Engineering Salary

$215K–$260K + Equity

Company Description

Infilla is a $5M-backed, profitable Gov Tech startup building agentic AI operating systems to modernize permitting for state and local governments. Backed by Basis Set, Base
10, and Bloomberg Beta, they serve major municipalities like NYC and San Francisco to accelerate housing construction by automating complex regulatory workflows.

Job Description

As Head of Engineering, you will lead a distributed team of seven engineers while remaining 50-70% hands-on in the code. Reporting to the CEO, you’ll architect AI-native systems using LLMs and computer vision to replace legacy government processes. You will own engineering execution end-to-end, defining the technical culture for a rapidly scaling organization.

Location

San Francisco, USA

Why this role is remarkable
  • Path to technical co-founder partnership for a leader who proves their impact through execution and building a high-velocity engineering culture.
  • Work on high-leverage agentic AI systems—not just chatbots—that directly solve the housing crisis by automating government bottlenecks for millions of citizens.
  • Join a durable, profitable business with zero customer churn and contracts that expand annually, backed by elite investors like Bloomberg Beta and Base
    10.
What You Will Do
  • Own engineering execution and delivery end-to-end, maintaining a 50-70% individual contributor load while scaling a distributed team across the US and Nigeria.
  • Architect and implement agentic workflows using React, Node, and Postgres, leveraging LLMs, computer vision, and voice AI to automate permit processing.
  • Partner with the CEO to make critical architectural decisions that protect the company’s moat and ensure engineering becomes a primary competitive advantage.
The ideal candidate
  • Proven experience leading engineering teams of 6+ at early-stage B2B startups, with a track record of shipping 0-to-1 products to enterprise customers.
  • Expert hands‑on fluency across the full stack (React, Node, Postgres, AWS) and deep experience building production‑grade data infrastructure and AI‑native systems.
  • Strong background in managing distributed or offshore engineering teams and a desire to work in a high‑ownership, hybrid San Francisco‑based environment.
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