Engineering Manager - LPM FoundationsNew

The opportunity

The payments landscape is changing rapidly, with businesses and their customers relying on a growing mix of local payment methods, cards, wallets, bank payments, buy now, pay later, and digital currencies. Stripe’s Local Payment Methods (LPM) business is one of our fastest-growing payments businesses.

What you'll do

  • Set the vision and roadmap for platform capabilities that help LPM teams: build, integrate, and operate payment methods at scale.

  • Lead engineers in designing and delivering reliable, self-service foundations: that simplify complex integrations and speed up launches.

  • Build an AI-first engineering organization: develop the platform hooks and working practices that enable agentic development and help teams use AI to improve execution and product-engineering decisions.

  • Partner closely with customers, engineering, product, partnerships, legal,: operations, and other stakeholders to align priorities and deliver end-to-end outcomes.

  • Drive clear technical and architectural decisions with staff engineers,: balancing reliability, extensibility, velocity, and regional payments complexity.

  • Lead and improve the team’s operating processes so it can execute effectively: and engage well with the rest of Stripe.

What they're looking for

  • At least 5 years of experience managing teams that shipped high-quality products.
  • An entrepreneurial mindset and comfort operating with a high degree of: autonomy and responsibility in an ambiguous environment.
  • A track record of recruiting, developing, and building great engineering teams.
  • The ability to work effectively across functions, think rigorously,: communicate clearly, and make or coordinate hard decisions and trade-offs.
  • Technical acumen to partner with staff engineers on architecture and technical strategy.
  • Experience creating a healthy and inclusive work environment that is both challenging and supportive.
  • Experience building platforms, developer products, or large-scale distributed systems.
  • Experience applying AI to software development, engineering workflows, or: product delivery, with strong judgment about where it creates durable value.