About the role
Source: Paraform - https://www.paraform.com/share/afterquery/cmtvx7t08001q0cl5ilzy32g7
Compensation: $250,000-$300,000 base (flexible for very strong background); OTE $300,000-$400,000 with performance bonus up to $100K; competitive equity.
Location: San Francisco (FiDi) - on-site Monday-Friday plus half-day or remote Sunday. Visa: open to transfers (OPT, H1B).
About this role
Software Engineer (Growth Infrastructure / Marketplace) with 2+ years of experience to build the core infrastructure powering expert acquisition, onboarding and matching at scale. Not a traditional growth engineering role: you'll build the platform and tooling that lets the growth team hire, assess, interview, onboard and retain domain experts, owning end-to-end systems from outreach tooling and AI-powered interviewing to automated expert-to-project matching, and eventually ML-driven recommendation systems.
What you will be doing
- Build and own the expert marketplace infrastructure: 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 growth-team workflows
- Partner 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 staffing
Tech stack
TypeScript/JavaScript, Next.js, React, Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS, GCP
About AfterQuery
Builds novel datasets and frontier data-creation infrastructure for LLMs and AI agents (agentic and hard-reasoning workflows) for leading AI labs and YC companies; founders from Citadel Securities, Google, Meta, Morgan Stanley, Silver Lake. 85 employees, founded 2024, $34M total funding, FiDi SF.
Requirements
- 2-5 years as a full-stack SWE
- TypeScript/JavaScript, Next.js, React, Node.js, Python
- Kubernetes, Kafka, Redis, Elasticsearch; AWS/GCP
- Comfortable with high autonomy and end-to-end ownership
- On-site M-F in FiDi SF, plus half-day or remote Sunday
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