Founding Member of Technical Staff

Proof of Human•San Francisco, CA

About The Position

Proof of Human is a research and deployment company building the proof-of-human layer in digital identity. It aims to produce high-impact research and productize it for bot detection, fraud prevention, and continuous authentication. Founded in 2023 by Princeton PhD scientists Mayank Agrawal and Matt Hardy, the company is backed by Y Combinator and Brickyard Ventures. Proof of Human provides frictionless, continual human verification. The Founding Member of Technical Staff will work on full-stack web development and research, with a focus on backend development and cloud infrastructure. The role includes building scalable systems, leading product feature delivery, shaping engineering strategy, collaborating across the team, and potentially helping write scientific articles for publication at leading venues.

Requirements

  • Three or more years of software development experience is ideal.
  • Strong backend web development skills, including experience taking work from problem definition through deployment.
  • Proficiency in web development with JavaScript and Node.js, and proficiency in Python.
  • Experience building cloud infrastructure at scale using AWS, GCP, or Azure.
  • Excitement about working on a small team where individual contributions have an outsized impact.
  • A strong quantitative background and eagerness to learn.

Nice To Haves

  • Research experience.

Responsibilities

  • Design and build scalable backend infrastructure using AWS, Node, and Python, optimized to handle millions of sessions per minute with minimal latency.
  • Own end-to-end delivery of key product features, from initial concept through deployment and support.
  • Influence engineering strategy and decisions through close collaboration with the technical team.
  • Work cross-functionally with the rest of the team to deliver features aligned with business objectives.
  • May assist with writing scientific articles summarizing the company’s work for publication at leading venues such as Science, NeurIPS, and ICML.
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