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Simular

Personal autonomous AI agents on devices

Growth Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of full-stack or backend engineering experience.
  • Strong SQL skills and comfort with analytics tooling such as dbt, BigQuery, Snowflake, or similar.
  • Strong product intuition and the ability to reason about user behavior.

Responsibilities

  • Build and own the growth data stack, including event tracking, attribution, and experimentation infrastructure.
  • Design and ship product experiments end-to-end, from instrumentation through analysis and rollout.
  • Partner with go-to-market and product teams 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 enable non-engineers to run their own experiments and analyses.

Desired Qualifications

  • Experience instrumenting product analytics tools such as Mixpanel, Amplitude, Segment, or similar.
  • Background in product-led growth products or consumer apps.
  • Familiarity with mobile or web attribution frameworks.
  • Prior experience in a startup or high-growth environment.

About the Company

Simular

Personal autonomous AI agents on devices

Simular AI builds personalized autonomous agents that run directly on personal devices, enabling tasks and decisions to be carried out independently for each user. These agents power both consumer and business use cases, with revenue coming from AI software licenses, subscriptions, and custom AI solutions. The product works by deploying on-device AI software that interprets user preferences, learns over time, and autonomously execute actions or make decisions aligned with the user’s goals. Simular differentiates itself by focusing on highly tailored, on-device autonomous agents for individuals and organizations (B2C and B2B), supported by a team of designers, engineers, developers, and researchers pursuing advances in artificial general intelligence. The company aims to broaden access to AGI-powered capabilities, expanding practical autonomy for everyday tasks while maintaining on-device operation rather than relying solely on cloud services.

Company size
11-50
Company stage
Series A
Total funding
$26.5M
Headquarters
Palo Alto, CA
Founded
2023

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