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Software Engineer (AI)

PublishedPublished: 6/14/2022
Technology

Job Description

Job Description

We're 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.

You'll 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.

What You'll Do

  • 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

Requirements

Work Experience (Dealbreaker)

  • 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 your background is big tech only, a CS degree from a top-10 program (e.g., Berkeley, CMU) is required

Hard Skills

  • Proficient in Node.js or Python
  • Kubernetes

Soft Skills

  • 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

Education

  • Degree from a top-30 school (US, Canada, or Europe only)

Logistics

  • Willing to work onsite 5 days a week (M–F) in our San Francisco (FiDi) office; flexible on start/end times

Nice to Have

  • 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) — we will pay as much as needed for this profile
  • Experience with Kafka, Redis, or Elasticsearch
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