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Salary
$170k – $220k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Track, analyze, and improve your brand's presence across ChatGPT, Gemini, Perplexity, and AI search. Complete toolkit for AI visibility and GEO optimization.

We’re hiring a Founding Full-Stack Engineer to join our team! This role is full-time in San Francisco at our Presidio office.

Gauge helps companies show up in more AI answers. Search traffic is shifting away from Google into AI chat, and companies are figuring out how to adapt right now.

Our system delivers real-time analytics derived from millions of LLM answers, while also providing an intuitive, powerful UX. We generate optimized articles to improve our customers’ visibility, and offer an agentic chat interface over their data (think ‘Why was there a spike on 12/10?’ or ‘Which of my pages should I refresh?’).

What You’ll Do

In this role, you would work on every component in our system to improve the product for customers. You will be expected to turn high-level guidance into high quality, end-to-end features, while making smart investments into the scalability of our platform.

You could be building AI agent workflows, high-volume data pipelines, embedded BI tools, or anything else that helps our customers win in AI search.

We have Slack channels with our customers, so you’ll get immediate feedback when you ship.

What We’re Looking For

We need engineers who can maintain a strong quality bar while shipping extremely quickly, and who know how to make smart tradeoffs to get features in front of customers.

You might be a good fit if you are an ex-founder, ex-founding engineer, or have worked at a high-growth Seed/Series A startup.

Strong candidates:

  • have built products from 0 → 1
  • have broad experience across the stack (frontend, backend, databases, queues)
  • use AI coding tools effectively (Claude Code, Codex, Cursor etc.)
  • have 3+ YoE in web development

Initial Screen (30m) → Tech Exercise (1hr) → Onsite (6hrs)

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