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1 день назад

Growth Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Growth Engineer (AI) (Snowflake/Next.js): Building the data foundation, product-led sales engine, and in-product growth features connecting MCP/CLI, SDK, and enterprise usage with an accent on analytics, full-stack development, and activation. Focus on modeling Snowflake data, instrumenting funnels, shipping onboarding and upsell flows, and using user behavior to guide growth decisions.

Location: San Francisco, United States; on-site

Company

hirify.global builds infrastructure that connects AI agents with workplace tools such as GitHub, Gmail, Notion, and Salesforce. The product serves prosumers, developers, and enterprises through MCP/CLI, SDK, and enterprise offerings.

What you will do

  • Own the Snowflake-based data lake and analytics foundation across MCP/CLI, SDK, and enterprise products.
  • Build data pipelines, model clean tables, maintain data quality, and answer complex analytics questions.
  • Instrument product funnels and connect usage signals with product-led sales handoffs.
  • Build in-product upsells, onboarding flows, and actions such as booking sales meetings using Next.js.
  • Run activation and reactivation campaigns, close funnel gaps, and improve retention.
  • Partner with product, sales, marketing, and engineering to ship growth initiatives.

Requirements

  • Fluent SQL and hands-on production experience with Snowflake or a comparable data warehouse.
  • Experience with data modeling, pipelines, tracking, dashboards, and reasoning from funnel data.
  • Strong frontend and backend engineering skills with fluency in Next.js and modern full-stack web development.
  • Prior growth or product engineering experience at a startup.
  • Ability to build with LLMs and stay current with the AI ecosystem.
  • Ownership mindset, strong product judgment, and the ability to measure the impact of shipped work.

Nice to have

  • Experience building a product or project that gained real traction.
  • Presence in the AI community through open source, writing, or building in public.
  • Interest in performance marketing and media mix modeling.

Culture & Benefits

  • Small engineering-focused team working across data, search, context, and AI-agent infrastructure.
  • High ownership from defining goals through shipping and measuring outcomes.
  • Emphasis on narrow, signal-generating experiments before investing in larger builds.
  • Cross-functional collaboration across product, sales, marketing, and engineering.

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