People Matter

Engineering Manager, Internal Data Products, ML Foundations



Software Engineering, Other Engineering, Data Science
Toronto, ON, Canada
Posted on Monday, July 1, 2024

Who we are

About 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

At Stripe, we are building a powerful suite of Internal Data Products that enable all Stripes to understand, analyze, and take action based on data and metrics, including building Machine Learning (ML) models that power almost every Stripe product. As the engineering manager of the Internal Data Products Team, you will play a crucial role in building and leading a team of full-stack engineers to design and build high leverage tooling and user interfaces for data visualization and analysis, all of which are critical to driving data literacy,empowering decision-making, and improving ML model performance across the organization. The team is part of the ML Foundations organization and our long-term vision is to build a unified data + ML experience at Stripe.

What you’ll do

Joining our Internal Data Product Team means being part of an innovative and diverse team working on impactful projects that empower the entire Stripe organization. You will have the opportunity to shape the future of data-driven decision-making and machine learning at Stripe. If you have a passion for data, analytics, machine learning, and delivering high-quality software, we would love to hear from you.


  • Hire, lead and manage a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success.
  • Collaborate with cross-functional teams, including senior leadership, data platform, data science, machine learning, and other business orgs to understand user needs and translate them into technical solutions.
  • Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
  • Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
  • Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
  • Stay up-to-date with emerging technologies, industry trends, and advancements in observability practices to identify opportunities for improvement and innovation.
  • Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.

Who you are

  • The ability to lead by example, by setting the right context, and by helping teammates do their best work
  • An excitement for collaborating with teammates across engineering and data science
  • Successfully recruited great teammates
  • The ability to thrive on a high level of autonomy and responsibility

Minimum requirements

  • 3+ years of people management experience, and 8+ years of technical experience building large scale user-centric products.
  • Managed teams that have shipped and operated large scale, highly available systems
  • A passion for supporting internal customers
  • Successfully recruited and built great teams
  • The ability to thrive on a high level of autonomy and responsibility
  • The desire to encourage a healthy, inclusive work environment that’s both supportive and challenging
  • Clear and persuasive writing and in-person communication

Preferred qualifications

  • Experience with front end technologies preferably involving data-oriented products or analytics tools and platforms.
  • Experience with server-side programming, data visualization libraries and an understanding of principles of effective data visualization.
  • Familiarity with relational and non-relational databases, and ability to design and optimize data schemas to support efficient querying and data processing, optimizing data pipelines, and ensuring seamless data flow across systems.
  • Experience with planning in quarters, and can set a vision for several years
  • Excited about collaborating with teammates across Stripe’s organization, to provide a wonderful user experience for key developer workflows
  • Comfortable working with geographically distributed teams
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

The annual salary range for this role in the primary location is C$208,600 - C$313,000. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

Office locations



Machine Learning

Job type

Full time