What We Look For
- Demonstrated Leadership Ownership: 3+ years of experience directly managing
software engineering teams, with a track record of building and shipping
production-grade systems at consumer scale.
- Credible Technical Foundation: A strong technical background as an IC (or equivalent
hands-on experience) with the ability to reason deeply through distributed systems, API
design, scalability bottlenecks, and data synchronization. You don’t need to write
production code daily, but you must be able to critically evaluate technical solutions.
- Clear, Pragmatic Communication: Exceptional ability to explain complex technical and
organizational concepts plainly and directly. You communicate with specifics, value
clarity over jargon, and encourage open dialogue across teams.
- Deep Product Curiosity: Genuine excitement about social commerce, marketplaces,
and user experience. You naturally probe beyond engineering requirements to
understand why a feature matters to our community.
- Candor and Humility: A leadership philosophy built on honesty and coachability. You
are open about past failures, share what you learned, and build an environment where
engineers feel safe admitting what they don’t know.
- Strategic Level Calibration: Strong instincts for talent density—knowing how to
evaluate, develop, and stretch engineers at every stage of their careers (from
early-career engineers to Staff+ leaders).
Qualifications & Requirements
- People Management: 5+ years directly managing engineering teams, owning hiring,
performance, coaching, and delivery.
- Engineering Foundation: 8+ years of total software engineering experience building
production-grade, scalable services or consumer-facing apps.
- Architectural Literacy: Able to lead system design discussions and evaluate tradeoffs in
API design, data sync, state management, caching, schemas, and resilience.
- Clear Communication: Explains complex technical and team challenges with grounded,
concrete specifics—no corporate jargon or rehearsed scripts.
- Extreme Ownership: Proven accountability for end-to-end execution, team culture, and
transparent handling of failures and retrospectives.
- Product Partnership: Strong collaboration with Product, Design, and Data to balance
feature velocity with platform health.
