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.
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.
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.
Background in PLG products or consumer apps.
Familiarity with mobile or web attribution frameworks.
Prior experience in a startup or high-growth environment.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Simular is a company focused on bringing AI agents into the real world, contributing to core product development and infrastructure scaling.