Salary
💰 $180,000 - $260,000 per year
About the role
- Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs
- 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
- 4+ years of total software engineering experience
- 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 and track record of deploying simple solutions
- Relentnessness & entrepreneurship; prioritize work ruthlessly
- Ability to work autonomously and lead initiatives across multiple product areas
- 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