Whatnot

Platform Engineer, Trust and Risk

Whatnot

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York, Washington

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Salary

💰 $180,000 - $260,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSpring

About the role

  • Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community.
  • Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction.
  • Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior.
  • Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions.
  • Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation.
  • Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience.
  • 4+ years of software engineering experience building for consumer-scale loads.
  • 1+ years of experience writing production code in Python.
  • 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred.
  • Business intuition & a data-driven mindset; explicit data science or machine-learning experience is a huge plus.
  • Obsession with impact; experience deploying simple solutions and moving fast without sacrificing quality.
  • Relentnessness & entrepreneurship; ability to prioritize work and dig into user problems.
  • 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.
  • Must be US Based and within commuting distance of Los Angeles, San Francisco, New York, or Seattle hubs.