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Salary
≈ $51k – $110k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on May 19, 2026. Simular scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Simular is an artificial intelligence company based in Palo Alto, California, and was founded in 2023. The company develops autonomous AI agents, such as its Sai co-worker and S2 framework, which automate complex digital tasks by interacting directly with computer interfaces and web browsers. It operates as a venture-backed startup focusing on the research and deployment of computer-use models for knowledge workers and enterprise teams.

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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