Software Engineer, Trust & Risk

Whatnot · Consumer · San Francisco, CA · Engineering

Software Engineer for Whatnot's Trust & Risk team, focusing on building and iterating on production algorithms and infrastructures to mitigate systemic risks, safeguard users, and prevent abuse. The role involves designing event-driven pipelines for real-time threat response, balancing risk with user experience, and collaborating across teams to continuously evolve defenses against emerging abuse patterns. Experience with machine learning, behavioral analysis, and data warehouses is preferred.

What you'd actually do

  1. Design and develop systems to protect the platform
  2. Balance risk and user experience
  3. Respond in real time to threats
  4. Contribute across the full development lifecycle
  5. Drive cross-team initiatives

Skills

Required

  • 7+ years of total software engineering experience
  • 4+ years of software engineering experience building for consumer-scale loads
  • 1+ years of experience writing production code in Python
  • Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster.
  • Professionalism around collaborating in a remote working environment and well tested reproducible work.
  • Above average documentation and communication skills.

Nice to have

  • 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred.
  • Explicit data science or machine-learning experience is a huge plus.
  • Business intuition & a data-driven mindset

What the JD emphasized

  • production algorithms
  • real-time
  • abuse patterns
  • account integrity risks
  • consumer-scale loads
  • Trust and Risk or Integrity or Fraud domains

Other signals

  • Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers.
  • Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community.
  • Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior.
  • Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions.