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Staff Engineer, Backend - Revenue

Staff backend engineer owns technical vision and architecture for revenue infrastructure handling billing, payments, subscriptions, and entitlements at scale. Requires deep domain expertise in monetization systems, API/platform design, performance optimization, and cross-team leadership.

About the job

Responsibilities

  • Serve as technical leader in Revenue Zone, partnering with Engineering, Product, and Design to shape strategy and roadmap.
  • Shape long-term platform vision, balancing delivery, durability, extensibility, and operational excellence.
  • Lead high-impact initiatives like decoupling billing from account systems, consolidating pricing infrastructure, enabling fast pricing experimentation.
  • Own revenue-critical systems (Billing, Pricing, Payments, Checkout, Entitlements) ensuring resilience, observability, and correctness.
  • Guide API design, data modeling, caching strategies, optimizing for scalability and developer experience.
  • Partner with Pricing & Packaging, Product, Design, Support, and Operations for ARR growth and customer experiences.
  • Drive performance optimizations reducing latency, improving reliability and conversion.
  • Mentor engineers, conduct code reviews, champion documentation and developer experience.

Requirements

  • Proven impact in complex production systems at scale, 8+ years experience preferred but hire for impact.
  • Domain knowledge in billing, subscriptions, payments, entitlements, revenue recognition, enterprise support.
  • Expertise in API design, platform building, performance optimization (profiling, caching, DB optimization).
  • Outcome-driven, customer-focused, comfortable with ambiguity and pivots.
  • Cross-team leadership, end-to-end ownership, stakeholder alignment.
  • AI fluency in coding workflows, judgment on automation limits in high-correctness domains.
  • Comfort navigating large mature codebases and monoliths.

Skills

APIs, Billing Systems, Subscription Management, Payment Processing, Postgres, Caching, Database Optimization, Revenue Recognition, Entitlements, Pricing Models

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