Staff Software Engineer, Stripe

GTM Data

CA$208-312k

Python
Scala
Java
Airflow
Hadoop
Spark
Expert level
Toronto

More information about location

Stripe

A financial infrastructure platform for businesses

Job no longer available

Stripe

A financial infrastructure platform for businesses

1001+ employees

FintechB2BPaymentsCredit cardsFinancial Services

Job no longer available

CA$208-312k

Python
Scala
Java
Airflow
Hadoop
Spark
Expert level
Toronto

More information about location

1001+ employees

FintechB2BPaymentsCredit cardsFinancial Services

Company mission

To increase the GDP of the internet

Role

Who you are

  • 10+ years of experience in large-scale data warehouses, experimentation, personalization, or targeting platforms
  • Proficiency in Scala, Python, Java, or another language suitable for building high-performance services
  • Proven experience in planning and leading large projects involving multiple stakeholders
  • Strong understanding and practical experience with systems such as Hadoop, Spark, Presto, Iceberg, and Airflow
  • Experience with data modeling, ETL concepts, and patterns for efficient data governance
  • Competence in back-end development of data-powered applications
  • Strong written and verbal communication skills with a talent for clear articulation of end-users' problems

Desirable

  • Experience working with GTM business functions such as Growth, Sales, and Marketing
  • Experience working at large scale fintech organizations

What the job involves

  • The GTM Data team is dedicated to building and refining Stripe's data infrastructure, pipelines, and tools to support the Sales, Marketing, and Growth teams
  • By focusing on developing robust data foundations, the team enables these teams to forecast future performance, measure progress, and optimize their strategies
  • The team is composed of Software Engineers with a focus on data, and are all based in North America
  • As a Staff Software Engineer in the GTM Data Mart Team, you will play a pivotal role in designing and developing robust data systems that enable and optimize Stripe’s Sales and Marketing functions
  • You will work closely with cross-functional teams to deliver scalable solutions that elevate data quality and efficiency
  • Your work will directly contribute to realizing Stripe’s mission of expanding internet economic opportunities by building the infrastructure that powers our strategic growth efforts
  • Collaborate with cross-functional teams to design, develop, and maintain data systems, pipelines, models, and products that support Stripe’s Sales and Marketing efforts
  • Engage with internal data platform and tools teams to prototype and validate solutions for deriving insights from large datasets or automating complex algorithms
  • Make critical, well-informed decisions by integrating data best practices, system realities, and stakeholder feedback
  • Scope, design, and implement robust solutions that balance resiliency, durability, performance, and data quality
  • Mentor and develop other technical leaders, creating opportunities for growth and innovation
  • Contribute to engineering advancements that align with Stripe’s mission and vision

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Insights

Top investors

-5% employee growth in 12 months

Company

Company benefits

  • Unlimited paid time off policy
  • Work from home opportunities
  • Comprehensive mental, physical and medical health plans
  • Fertility benefits and parental leave

Funding (last 2 of 13 rounds)

Mar 2023

$6.5bn

GROWTH EQUITY VC

Mar 2021

$600m

SERIES H

Total funding: $8.7bn

Our take

Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payments option in their apps or websites, where before there was none.

More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.

To further expand its position, the company is looking to triple its presence in Ireland, and extend its services to countries with vast customer potential, including Brazil and India. Its latest venture, coming atop significant new funds, is to partner with OpenAI, the company behind ChatGPT - a win-win collaboration that will monetize OpenAI’s flagship products and at the same time enhance Stripe with GPT-4, as it moves forwards with intentions to "build the payments foundation for tomorrow's AI economy."

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Freddie

Company Specialist at Welcome to the Jungle