Engineering Manager - Operations Infrastructure

Stripe Stripe · Fintech · India · 4145 Support Products - Eng

Engineering Manager for Stripe's Support Experience team, focusing on building and improving user support systems. The role involves leading a team to develop AI-enabled product experiences for various user segments, implement API endpoints, and improve support operations with data engineering. The team will leverage machine learning applications and scalable distributed systems to enhance customer support and internal tooling.

What you'd actually do

  1. Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
  2. Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
  3. Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
  4. Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
  5. Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.

Skills

Required

  • 3+ years of experience managing teams that build and operate full-stack web applications at scale
  • 10+ years of overall industry experience
  • Successfully recruited and built great teams
  • Clear and persuasive writing and in-person communication

Nice to have

  • Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation
  • Comfortable planning in quarters
  • Ability to set a vision for several years
  • Comfortable working with geographically distributed teams
  • Experience managing multiple engineering teams

What the JD emphasized

  • AI assistants for Stripe’s users
  • AI assistants to help our operations teams be more productive
  • AI-enabled product experiences designed for each segment’s unique needs
  • experimental machine learning applications
  • Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation

Other signals

  • AI assistants for users
  • AI assistants for operations teams
  • AI-enabled product experiences