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Stripe

Staff Engineer, GTM Systems

Posted Yesterday
Be an Early Applicant
Canada
Expert/Leader
Canada
Expert/Leader
Design and maintain high-performance APIs and services while collaborating across teams, ensuring reliability and enhancing engineering standards. Lead major projects and mentor engineers for growth.
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Who we areAbout Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Go-To-Market (GTM) System Team at Stripe is dedicated to revolutionizing the way sellers connect with our users, enhancing the buying journey through innovative technology and transformative tooling. We believe that meaningful human connections can significantly accelerate the purchasing process, and we are committed to making that connection seamless and efficient.

Our mission is to empower sellers by leveraging cutting-edge LLMs and sophisticated automation tools, allowing them to focus their time and energy on engaging with users at a deeper level. We are building a robust platform that provides sellers with all the necessary information, insights, and support, enabling them to deliver personalized and impactful interactions. By prioritizing the fusion of human touch and technological innovation, the GTM System team strives to create an environment where sellers can thrive, resulting in enriched user experiences. Join us in our quest to redefine how sales teams connect with their customers and transform the way commerce is conducted on the Stripe platform.

What you’ll do
Responsibilities

  • Design, build, and maintain beautiful, robust, and high-performance APIs and services
  • Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
  • Hide complexity from our users behind simple yet powerful abstractions
  • Partner closely with other engineers, analysts and scientists to build highly scalable system(s), to deliver delightful developer experiences and comprehensive interfaces
  • Build the APIs that power internal stakeholders facing UI experiences, defining composable data models and durable interfaces.
  • Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term.
  • Improve engineering standards, tooling, and processes.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • 10+ years of experience designing, implementing, and operating large-scale, high-performance APIs and services
  • Lead large-scale technical projects that significantly impact users and the business.
  • Collaborate cross-functionally with engineering, product, and design teams to define product strategy and user experience.
  • Establish best practices and processes to enhance team effectiveness and foster a culture of learning.
  • Mentor engineers at all levels, supporting their professional growth and technical leadership development.
  • Own complex problems end-to-end, ensuring reliability and operability while considering business impact.
  • You have excellent oral and written communication.

Preferred qualifications

  • Experience in marketing domain building products that contribute to marketing tech stack.
  • Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing.
  • Prior experience building distributed systems or a microservices architecture

Top Skills

APIs
Distributed Systems
High-Performance Services
Llms
Machine Learning
Microservices Architecture

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