Whatnot is looking for a Software Engineer, Fraud to join our Trust and Risk, Fraud, and Integrity teams. You will be responsible for building systems that set clear expectations, encourage good behavior, and address issues fairly and efficiently across our platform.

What You'll Do

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.

What We're Looking For

7+ 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.
Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create.
Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible.
Relentlessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done.
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.
Explicit data science or machine-learning experience is a huge plus.

Technical Stack

Python
Snowflake
dbt
Dagster

Benefits & Compensation

Compensation: $180,000/year to $260,000/year + equity.
Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave: 16 weeks of paid parental leave + one month gradual return to work

Work Mode

This is a local-city based role open to candidates in Los Angeles, San Francisco, New York, Seattle.

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law.