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# Software Engineer - Growth Infrastructure

- **Company:** Eclaro International Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $250,000.0 - $300,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Node.Js, Recommender Systems, Stripe, Kubernetes, Apache Kafka, Marketplace
- **Published:** September 18, 2026
- **Apply:** https://www.careers-eclaro.com/job/6163/software_engineer_growth_infrastructure#apply-now-header

## About the Role

* Experience at an S-tier VC-backed startup, a reputable trading firm, or as a founding engineer at a company that has raised $2.5M+.
 * If the background is big tech only, a CS degree from a top-10 program (e.g., Berkeley, CMU).
 * Proficient in Node.js or Python.
 * Kubernetes
 * Track record of building something end-to-end, with a strong bias toward ownership.
 * Seniority: 2-5 years of experience as a Full-Stack Software Engineer.
 * Degree from a top-30 school (US, Canada, or Europe only).

Preferred Skills:

 * Marketplace or Growth Infrastructure experience at a high-growth startup - a Growth Engineer from a data company is an especially strong fit.
 * New grads or candidates with ~1 YOE: multiple S-tier internships (Stripe or better).
 * Experience at a human-data AI company (e.g., Surge AI, Snorkel AI, Micro1, Mercor).
 * Experience with Kafka, Redis, or Elasticsearch.

## Description

* Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship.
 * Hiring a Software Engineer - Growth Infrastructure to build the core systems that power expert acquisition, onboarding, and matching at scale for a top AI startup.
 * This is not a traditional growth engineering role: you'll be building the platform and tooling that enables the growth team to hire, assess, interview, onboard, and retain domain experts across projects.
 * Will own systems end-to-end - from outreach tooling and AI-powered interviewing to automated expert-to-project matching - with significant autonomy and a clear path toward building the ML-driven recommendation systems that predict which expert profiles a project will need before it even launches., * Build and own the expert marketplace infrastructure, covering outreach, interviewing (including an AI interviewer), assessments, and onboarding tooling.
 * Develop the hiring platform where experts are onboarded, managed, and dispatched to projects based on fit and availability.
 * Create automations and internal tools that replace manual workflows for the growth team, dramatically increasing operational throughput.
 * Partner directly with growth associates to identify bottlenecks, instrument the funnel, and ship high-leverage improvements quickly.
 * Eventually build ML-driven recommendation systems that predict expert needs for new projects and automate the staffing pipeline.


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