Software Engineer - Growth Infrastructure

• 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.

• 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.

Salary: $250,000 - $300,000 / Year