Growth Engineer
TLDR
Build growth data infrastructure and end-to-end experiments to turn user insights into shipped product, partnering with GTM and product to drive activation and monetization.
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.
Simular creates AI agents that mimic human computer interaction, effortlessly clicking, typing, and navigating across various applications and workflows. Targeting businesses in the US and Singapore, we focus on automating tasks to enhance productivity and streamline operations in fast-paced environments.