Software Engineer, Trust & Risk

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
• Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction
• 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

What You Bring

• Comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building
• Care more about outcomes than credit and stay close to the product and the people using it
• 7+ years of total software engineering experience, plus 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 that enables you to think critically about the growth headwinds abuse prevention systems can create
• Explicit data science or machine-learning experience is a huge plus
• 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
• Your curiosity drives you to dig into user problems & craft suggestions on how we can address them
• Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Comfortable 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