Company
Engineering
GrowthEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Growth Engineer. Skills: growth metrics, code quality, data infrastructure, product experiments, event tracking, attribution, experimentation infra, SQL, analytics tooling. Build and own the growth data stack: event tracking, attribution, experimentation infra. Design and ship product experiments end-to-end (instrumentation → analysis → rollout)”
What You'll Achieve.
drive how we grow; ship measurable improvements; Improve activation, retention, and monetization
Industry & Context.
reason about user behavior
What They're Looking For.
Must Have
3+ years of full-stack or backend engineering experience, SQL, comfort with analytics tooling (dbt, BigQuery/Snowflake, or similar), Bias toward you ship measurable improvements, not just code, product intuition and ability to reason about user behavior
Nice to Have
Experience instrumenting product analytics (Mixpanel, Amplitude, Segment, or similar), Background in PLG products or consumer apps, Familiarity with mobile or web attribution frameworks, Prior experience in a startup or high-growth environment
What You'll Do.
Build and own the growth data stack: event tracking
experimentation infra
Design and ship product experiments end-to-end (instrumentation → analysis → rollout)
Partner with GTM and product to identify growth opportunities and translate them into engineering work
and monetization through code and data
Build internal tools that let non-engineers run their own experiments and analyses
How You'll Work.
Team & Collaboration
working closely with the GTM team; Partner with GTM and product
Full Job Description
We're looking for an engineer who cares about growth metrics as much as they care about code quality. You'll build the data infrastructure and product experiments that drive how we grow, working closely with the GTM team to turn user insights into shipped product. WHAT YOU'LL DO - Build and own the growth data stack: event tracking, attribution, experimentation infra. - Design and ship product experiments end-to-end (instrumentation → analysis → rollout). - Partner with GTM and product to identify growth opportunities and translate them into engineering work. - Improve activation, retention, and monetization through code and data, not just dashboards. - Build internal tools that let non-engineers run their own experiments and analyses. WHAT WE'RE LOOKING FOR - 3+ years of full-stack or backend engineering experience. - Strong SQL and comfort with analytics tooling (dbt, BigQuery/Snowflake, or similar). - Experience instrumenting product analytics (Mixpanel, Amplitude, Segment, or similar) is a strong plus. - Bias toward shipping; you ship measurable improvements, not just code. - Strong product intuition and ability to reason about user behavior. BONUS - Background in PLG products or consumer apps. - Familiarity with mobile or web attribution frameworks. - Prior experience in a startup or high-growth environment.
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