Growth Engineer

Simular; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Simular is looking for a skilled engineer to build and own their growth data stack, including event tracking and experimentation infrastructure. You will design and ship product experiments from start to finish, working closely with the Go-To-Market and product teams.

The ideal candidate has over 3 years of experience in full-stack or backend engineering, strong SQL skills, and familiarity with analytics tools like dbt and BigQuery. Prior experience in a startup environment is a plus.

Qualifications

• 3+ years of full-stack or backend engineering experience.
• Experience with SQL and analytics tooling.
• Strong understanding of product analytics tools.

Responsibilities

• Build and own the growth data stack including event tracking and experimentation.
• Design and ship product experiments end-to-end.
• Improve activation, retention, and monetization through data.

Skills

Full-stack or backend engineering

Strong SQL

Analytics tooling

Product analytics instrumentation

Strong product intuition

Tools

dbt

BigQuery

Snowflake

Mixpanel

Amplitude

Segment

Job description

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.