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

The Company Universe team is responsible for all things data in support of the Sales, Marketing, and Self-Serve Growth business at Stripe. We are at the forefront of understanding how Stripe can enhance its services to better support both our current customers and potential future businesses around the globe, and equip our field and operation teams with data to help them make informed decisions in support of our users. We are looking for talented data-minded software engineers to help us manage business critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you.

What you’ll do

As a Staff Software Engineer on the Company Universe team, you will play a crucial role in designing and developing robust data pipelines and applications that empower Stripe's Growth, Sales, and Marketing teams. You will collaborate with cross-functional teams to ensure accurate and complete data, enabling informed business decisions and improving customer experiences. Your expertise will drive the design of solutions that enhance visibility into the performance of GTM organizations while maintaining the highest standards of data integrity.

Responsibilities Lead the design, development, and maintenance of data pipelines, models, and applications that support the Growth, Sales, and Marketing functions at Stripe, ensuring they meet critical business objectives. Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets. Build and enhance the data foundations, including infrastructure, pipelines, and tools that facilitate collaboration between Growth, Sales, and Marketing teams, utilizing technologies such as Spark, Scala, and Airflow. Design and implement data movement frameworks and systems that facilitate seamless integration between internal systems and third-party data sources, ensuring efficient data flow and accessibility across platforms while maintaining data integrity and security. Mentor and guide junior engineers, fostering a culture of innovation and adherence to best practices in software development, data quality, and project delivery. Utilize strong analytical and problem-solving skills to address complex issues, effectively communicating findings and recommendations to cross-functional stakeholders. 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 8+ years of hands-on software development experience, with a strong focus on building and maintaining data-intensive applications. Proven experience leading technical initiatives and influencing cross-functional teams, ensuring successful project delivery aligned with business goals. Strong background in writing and debugging data pipelines using distributed frameworks such as Spark, Hadoop, or similar technologies. Proficient in at least one backend development language (e.g., Scala, Java, or Go) along with solid SQL expertise. Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies. Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams. Preferred qualifications Familiarity with Growth or GTM roles, understanding the data needs specific to Sales and Marketing functions. Experience working with large-scale data systems such as Presto/Trino, MongoDB and Apache Pinot. Experience with building, deploying, and optimizing machine learning models, along with an understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of the integration of machine learning models into data pipelines and applications for enhanced business insights and predictions.