Engineering Manager, Customer Experience

Whatnot · Consumer · San Francisco, CA · Engineering

Engineering Manager for Customer Experience at Whatnot, focusing on scaling Seller Provided Support (SPS) to help sellers resolve post-purchase issues, reduce refunds, and improve buyer/seller trust. This role involves end-to-end ownership of business outcomes, technical strategy, and execution for a full-stack team, aiming to build a world-class, intelligent support platform.

What you'd actually do

  1. Own scaling SPS to all Whatnot sellers, leading a full-stack team at the intersection of high business impact, technical complexity, and excellent product UX.
  2. Partnering closely with Product, Design, and platform teams, you’ll lead the design of scalable systems integrating with messaging, payments, and logistics, and build the intelligent tooling sellers need to resolve post-purchase issues.
  3. This role is end-to-end: you’ll own business outcomes, technical strategy, and execution to a cohesive UX experience.
  4. Success looks like wide SPS adoption, measurable refund rate reduction, strong CSAT, and a growing team delivering with speed and quality.
  5. This role can expand broadly across CX as we build a world-class, intelligent support platform for one of the fastest-growing marketplaces in the US.

Skills

Required

  • 8+ years in product or platform engineering
  • 3+ years managing teams (6–12 engineers)
  • Proven track record of building high-impact, end-to-end product experiences
  • Scaling backend systems
  • Translate strategic user and business problems into robust technical systems
  • Lead system design
  • Make pragmatic trade-offs
  • Drive holistic execution
  • Growing engineering teams that deliver complex, large-scale products with speed and quality
  • Owns outcomes end-to-end
  • Thrives in ambiguity
  • Unblocks the team across business, technical, and operational challenges

Nice to have

  • Experience with messaging systems
  • Experience with support platforms
  • Familiarity with Python/Elixir/Postgres

What the JD emphasized

  • Seller Provided Support
  • post-purchase issues
  • intelligent tooling
  • support volume rose by 6x last year alone