Staff Engineer , Data & AI

Stripe Stripe · Fintech · India · 8417 Accounting Products

Staff Engineer role at Stripe focused on leading and architecting data and AI products for the Revenue and Finance Automation suite. The role involves driving technical decisions for scalability, reliability, and performance, mentoring engineers, and innovating with ML/LLMs to provide predictive insights and advanced analytics for businesses. The primary focus is on shipping AI-enhanced financial products.

What you'd actually do

  1. Lead and Architect: Take ownership of end-to-end architecture and system design for large, complex projects. Drive technical decisions that ensure scalability, reliability, and high performance across distributed systems.
  2. Mentor and Influence: Provide technical leadership to other engineers on the team, setting best practices in system design, architecture, and operational excellence. Act as a mentor, guiding less experienced engineers to grow into senior roles.
  3. Drive Product Innovation: Innovate by leveraging the latest in ML, LLMs, and data technologies, driving new features that help businesses optimize their revenue with predictive insights and advanced analytics.
  4. Collaborate Cross-Functionally: Partner with product, design, and data teams to deeply understand business problems and craft solutions that balance user needs, system performance, and scalability.
  5. Tackle Complexity: Navigate ambiguous technical challenges, breaking down complex problems into actionable solutions, and driving them from inception to successful deployment.

Skills

Required

  • 10+ years of engineering experience
  • Architecting and designing full-stack systems
  • Product taste and problem-solving
  • Cross-functional collaboration
  • Working in ambiguous, fast-moving environments
  • Mentoring engineers

Nice to have

  • Familiarity with large scale distributed systems
  • Experience working in high-growth teams

What the JD emphasized

  • 10 + years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
  • Experience in architecting and designing full-stack systems that deliver critical impact to a business
  • You have great product taste and a track record of taking complex problems and solving them elegantly.
  • You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
  • You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
  • Past experience mentoring and investing in the development of engineers.

Other signals

  • Leveraging ML, LLMs, and data technologies
  • Driving new features that help businesses optimize their revenue with predictive insights and advanced analytics