Whatnot

Engineering Manager, Selling

Whatnot

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York, Washington

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Salary

💰 $230,000 - $260,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Distributed SystemsSpring

About the role

  • The Selling team at Whatnot is responsible for building the end-to-end experience of listings, empowering sellers to merchandise their inventory in our various sales channels and formats.
  • Collaborating with Product, Design, and Data, you’ll shape the technical foundation of the commerce journey, from seller tools, merchandising systems, sales formats, and checkout experience, with a cross-functional and fullstack engineering team.
  • We're looking for a leader with strong product instincts, who can clearly articulate what needs to be built — and isn’t afraid to step into a PM mindset when needed.
  • This will be a highly technical role, employing engineering-led judgment to guide the team and ensure they have the skills and direction needed to shape and deliver the right solutions at high velocity.
  • Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, or New York City hubs.

Requirements

  • Have experience leading a team of engineers to deliver significant business impact while guiding them through both their career development and executing in a high-growth environment.
  • Have low ego, an appetite to build, and employ good judgment in making hard trade-offs with limited resources.
  • Know how to effectively recruit, mentor, retain, and measure high performing teams.
  • Operate as a technical leader with hands-on experience in large distributed systems and complex user interfaces across web and mobile.
  • Have great taste in building user experiences and the systems behind them, understand how form follows function, and effectively direct teams to build in this manner.
  • Be comfortable with technical debt and how to leverage it.
  • Understand how to instrument product metrics, recognizing the value and limits of data.
  • Effectively manage stakeholders, competing priorities and deal with ambiguity.
  • Have substantial hands-on experience of doing the job you’ll be managing.