1 день назад
Growth Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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