Hiring.Camp

Growth Engineer

Relixir

·

May 12, 2026

Salary
$75k – $125k/yr
Location
San Francisco, California, US
Workplace
Remote
Type
Full-time
Department
Engineering
Source
Y Combinator

Description

About Naïve

Naïve is an autonomous company builder — we let businesses deploy AI employees to create/run entire companies. We're a $120M company backed by Y Combinator, Softbank, Vijay Krishnan (Founder of Turing), and more.

We're looking for a Growth Engineer who builds growth like a product — content systems, agent discovery infrastructure, and developer community at scale.

What You'll Do

  • Own SEO + GEO (Generative Engine Optimization) — make Naïve the default answer when an agent asks "how do I form a company / open a bank account / run KYC"
  • Build content engines — programmatic SEO, blog automation, UGC creator pipelines, doc → distribution flows
  • Run our developer community — Discord, hackathons, sample apps, integration partners
  • Drive PR + launches — coordinate releases, write developer-facing content, ship landing pages
  • Build the tools you need — internal dashboards, attribution systems, content automation
  • Ship measurable growth experiments weekly

The Role

You don't write a content brief and hand it off. You build the system that produces content, ranks it, attributes it, and compounds. You can write the SEO pages, the scraper that finds target queries, the agent eval that checks if ChatGPT recommends us, and the launch tweet — all in the same week.

Must-Haves

  • High Agency
  • Strong full-stack engineering (Next.js, TypeScript, Python)
  • Demonstrated growth track record — you've moved a metric, not just managed an agency
  • Strong writing — launch posts, docs, tweets, SEO pages
  • Comfortable with LLMs as tooling — content gen, agent evals, scraping pipelines
  • Taste — visual, written, brand

Nice-to-Haves

  • Programmatic SEO at scale (10k+ pages)
  • Run a developer community before (Discord, hackathons, OSS)
  • Familiarity with how agents discover and rank tools (MCP registries, agent search, LLM rec systems)
  • Prior 0→1 growth at an early-stage startup

Skills

PythonJavaScriptTypeScriptRNext.jsKYCSEO

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