Software Engineer, Seller Growth

Whatnot · Consumer · San Francisco, CA · Engineering

Software Engineer on the Seller Growth Platform pod responsible for designing and building systems that sit at the heart of the new seller funnel. This includes developing and scaling systems for identity verification, fraud detection, and automated trust/risk reviews, as well as powering accurate seller identification through enrichment data, signals, and predictive LTV models. The role also involves creating scalable infrastructure like reusable trust and reputation systems and modular fraud prevention frameworks, and driving long-term seller success by enabling better bucketing of sellers by value and risk profile.

What you'd actually do

  1. Protecting the funnel from fraud and abuse: Developing and scaling systems for identity verification (IDV), fraud detection, and automated trust/risk reviews that safeguard buyers while minimizing friction for good sellers.
  2. Balancing growth with trust and safety: Ensuring that the thousands of new sellers joining weekly can sell successfully without degrading the buyer experience, while preventing bad actors from gaining distribution or abusing incentives.
  3. Building platform intelligence: Powering accurate seller identification (e.g., enrichment data, signals, and predictive LTV models) to route sellers to the right onboarding, incentive, and discovery paths.
  4. Creating scalable infrastructure: Partnering with Data Science and Trust teams to design reusable trust and reputation systems, modular fraud prevention frameworks, and experimentation platforms that other pods and teams across Whatnot can leverage.
  5. Driving long-term seller success: Enabling better bucketing of sellers by value and risk profile, ensuring that high-potential sellers are accelerated early, while low-quality or fraudulent sellers are contained before they reach scale.

Skills

Required

  • 5+ years of software engineering experience
  • Experience building scalable systems
  • Ability to work across the stack (backend and frontend)
  • Excellent product instincts
  • Proven track record of delivering features
  • Ability to take ownership of an ambiguous area
  • Ability to flexibly work across multiple workstreams
  • Knowledge of data and growth systems
  • Scalability and data pipeline experience with SQL, dbt

Nice to have

  • Python
  • Elixir
  • JavaScript

What the JD emphasized

  • 5+ years of software engineering experience
  • Proven track record of delivering features. You are known for shipping products and features lightning-fast.
  • Ability to take ownership of an ambiguous area and define and then drive impact.

Other signals

  • building systems for identity verification, fraud detection, and automated trust/risk reviews
  • powering accurate seller identification (e.g., enrichment data, signals, and predictive LTV models)
  • design reusable trust and reputation systems, modular fraud prevention frameworks, and experimentation platforms