Stripe

  • San Francisco, CA, USA

Stripe is the best way to accept payments online. Stripe aims to expand internet commerce by making it easy to process transactions and manage an online business. We want to increase the GDP of the internet.

Code

We believe that enabling more transactions is a problem rooted in code and design, not finance. Stripe is built for developers, makers, and creators.

Backstory

We had experienced first-hand the difficulty of accepting online payments. On almost every front, it was becoming easier to build and launch an online business. Payments, however, remained dominated by clunky legacy players. It seemed clear that there should be a developer-focused, instant-setup payment platform that would scale to any size. Stripe launched in September 2011.

Public launches to public companies

Stripe now processes billions of dollars a year for thousands of businesses, from newly-launched start-ups to Fortune 500 companies. Since Stripe powers so many new businesses, it's a snapshot of how the internet is changing; many users are in categories that barely existed five years ago. Web and mobile businesses around the world using Stripe include Twitter, Kickstarter, Shopify, Salesforce, Lyft, and many more.

Company

Stripe is 1,300 people and headquartered in San Francisco. The company has received around $450 million in funding to date; investors include Sequoia Capital, Visa, American Express, Peter Thiel, and Elon Musk.

Stripe San Francisco, CA, USA
Oct 30, 2018
Full-time
Hunt and eliminate malware within Stripe networks The security concerns are ever-evolving, making the security team an extremely dynamic environment to work in. Our ultimate goal is to secure Stripe, secure Stripe users, and secure the Internet. For the Threat Engineering Team, signature based detection is not enough - Stripe strives for world class security that recognizes abnormal through aggressive baselining of endpoints and servers. Stripe’s threat engineering team recognizes that, in order to manage and defend against an attack, one must understand the attack and approaches each challenge with an adversary mindset. Our users trust us with some of their most sensitive information, and we make security a first-class consideration in everything we do. You will: Develop general techniques and frameworks that will enable other engineering teams to find flaws before they are introduced into production Be a security subject matter expert and respond to any internal security engineering questions/request Work with other teams to help architect solutions that are inherently secure Perform penetration testing on our internal and external applications Threat model existing applications Perform reactive incident response when a security event occurs Perform proactive research to detect new attack vectors Architect and create frameworks that prevent current and future attack scenarios Create and execute training exercises to advance developers’ security knowledge Research, architect, and execute solutions that will advance internal security monitoring & controls Our ideal candidate for this role: Can write defensive, maintainable code that solves real-world problems for our users Has previously held security role in professional environment Has software engineering experience in production environment Has a security-specific background Has a knack for finding flaws in software and can efficiently communicate how to fix them Has the ability to find creative ways of reducing risk of inherently insecure efforts Can think about problems from an out-of-the box perspective Can think like an attacker and preemptively determine how malicious actors will attack Stripe What’s it like to work at Stripe? Stripe is helping the internet fulfill its potential as a platform for economic progress by building software tools that accelerate global economic access and technological development. Stripe makes it easy to start, run and scale an internet business from anywhere in the world. Stripe is, at its heart, an engineering company. To provide a missing pillar of core internet infrastructure, we hire people with a broad set of technical skills (and from a wide variety of backgrounds) who are ready to take on some of the most challenging problems in the industry – from reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and enabling entrepreneurs worldwide to start a global internet business. We look at Stripe as a constant work in progress and the same is true of our people; for all of us, we believe the best is yet to come. We’re here to support each other in our curiosity and creativity – which we pursue through thoughtful discussion and knowledge-sharing among a diverse set of peers and colleagues. We encourage all engineers to transition teams once every year and a half and also take on short-term projects with other teams across Stripe. This enables engineers to learn how different parts of Stripe work while also establishing stronger ties and cross-pollination between groups. We contribute to existing open-source projects and the people working on them, and we release several tools as open-source. We want to work in a company of warm, inclusive people who treat their colleagues exceptionally well. The kind of people who are committed to going out of their way to help other Stripes in the short-term and pushing them to improve over the long-term (by helping them to get better at what they do). We’re a highly cross-functional organization and view that as part of the fun: we design our space to encourage as much collaboration as possible. We have long tables in the kitchen for a reason (to enable everyone to meet new people and learn from them). We also have a culture of transparency that we carry through to email communication, ensuring that Stripes all around the world have the information they need to make good local decisions. In both our products and our people, we aim to reflect, represent and advocate for all of our users, globally. Our users transcend geography, culture and language; what we share, collectively, is a drive to create a fairer, more economically interconnected world.
Stripe San Francisco, CA, USA
Oct 30, 2018
Full-time
Come help build the tools and systems required to prevent the use of Stripe for financial crimes like money laundering and terror financing! We are looking for an aspiring regulatory professional to join our Financial Crimes team based in San Francisco. Joining our Growth sub-team, you’ll help design and maintain the tools and systems required for regulatory analysts to investigate money laundering and prevent the use of Stripe for sanctioned activity and other financial crimes. You’ll also work with Stripe product teams to ensure that Stripe expands its business in compliance with financial partner and regulatory obligations around the world. Stripe is a technology company that operates within the financial services industry, and you will need to be comfortable straddling both of those worlds every day. The right person for this role will enjoy working in the intersection of an emerging sector, seeking creative solutions to traditional problems, introducing technically driven solutions while moving with urgency and focus. You will: Manage end-to-end projects to design improvements to existing tools for analysts on the Financial Crimes team to investigate and prevent money laundering, terrorist financing, and other illegal activity. Work with other Financial Crimes team members to translate regulatory requirements into digestible project scoping documents for review and implementation by our engineering, product, and other cross-functional stakeholders. Embed with product teams at Stripe to represent Financial Crimes interests as Stripe’s global business expands. Work collaboratively with cross-functional stakeholders, including product teams, Legal, and internal engineering functions. We’re looking for someone with: 3-5 years of work experience. The ability to identify and define problems, build project plans to address them, and manage implementation of their solutions An ambitious sense of curiosity and a willingness to explore areas outside of your comfort zone, like new markets or new product types. The ability to work efficiently and independently in an ambiguous, fast-paced environment, with the discernibility to escalate urgent issues when necessary. Experience managing projects of a cross-functional and/or technically complex nature. Respect for and interest in financial rules and regulations, as well as an eagerness to innovate in the spirit of those restrictions. Nice to haves: CAMS or equivalent certification. Financial compliance, regulatory, or legal experience. Experience working with engineering and/or technical teams. SQL or Excel skills. You should include these in your application: Resume and LinkedIn profile.
Stripe Seattle, WA, USA
Oct 30, 2018
Full-time
Research at Stripe: Stripe’s mission is to increase the GDP of the internet by helping forward-thinking businesses worldwide sell to anyone, anywhere in new ways. We believe there are too many barriers to doing business on the internet—and that the opportunities to do so are not equally distributed. Researchers at Stripe help lower barriers to success so that lack of access to technical, legal, or financial talent doesn’t prevent great ideas from becoming great businesses. There’s still so much we have to learn at Stripe. What does it mean for people around the world to start up something they really believe in? What are the barriers people face when they’re trying to make their business successful? To support the next generation of global businesses, we need to immerse ourselves in our users’ experiences: to first reason about what users would like, and then to work backwards about what we should build. That’s where you come in—we’re looking for a diverse group of researchers from many disciplines, skills, backgrounds, and specialties to help us learn everything we need to know about building the modern, global, connected economy. You’ll join a small but quickly-growing research team at our offices in San Francisco, Seattle, or Dublin. Are you excited by democratizing research and empowering an entire company to connect with businesses worldwide? Because that’s what we’re up to—we aren’t just doing our own work, we’re enabling people across all of Stripe (engineers, product managers, designers, everyone) to apply research skills to global problems. If you love scaling yourself and your expertise, we can give you the freedom and resources to do amazing things at Stripe. The Research Team is growing within the Design Team — learn more about how the Design Team works and who you’d work with. You will: Build and scale best-in-class survey programs that help us stay connected to our users. Be the company’s leading authority on survey tooling, design, methodology, and analysis. Partner closely with Marketing and Data Science to create the infrastructure for standardizing in-product survey research and ongoing tracking surveys. Establish training, best practices, and scalable consulting processes to ensure everyone at Stripe can ship world-class surveys and analyze them in a rigorous way. You may be a fit if: You’re a creative, bold, visionary builder—where other people see chaos, you see opportunity. You’ve directed complex survey projects at scale—from ongoing tracking surveys to demographic assessments to cross-sectional product surveys. You know best practices only matter if your partners across the company are on board—that’s why you love working closely with other teams (e.g., marketing, data science) to scale solutions that work for everyone. You lose track of time when you’re thinking through sample characteristics, drafting immaculate survey questions, running SQL queries, and getting answers from your survey data. You’ve built or supported internal survey solutions at your workplace. Any combination of these qualities would make your application stand out: You have an MA or PhD in a related field, like sociology, epidemiology, communications, psychology, or political science. You know the ins and outs of different survey tools (e.g., Qualtrics, SurveyMonkey) and data analytics languages/platforms (e.g., SQL, R, Stata, Python). You’ve built out survey UI or survey data infrastructure before. You’re comfortable communicating with our user base: startup founders and business professionals. You should include these in your application: Your CV or LinkedIn profile. A few words about why Stripe is interesting to you.
Stripe Seattle, WA, USA
Oct 30, 2018
Full-time
Build the foundations for understanding Stripe. Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. With all this data, the Data Science team is looking for talented engineers to help us manage business critical data leveraged across the entire organization. If you are data curious, excited about designing data pipelines, and motivated by having impact on the business, we want to hear from you. Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Engineering and Business to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s products are being used and how we can better serve our customers. You will: Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across Stripe Design, develop, and own data pipelines and models that power internal analytics for product and business teams Help the Data Science team apply and generalize statistical and econometric models on large datasets Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as the Stripe product evolves Develop strong subject matter expertise and manage the SLAs for those data pipelines Some things you might work on: Develop unified user data schemas and tables that provide a complete view of the business across our various products such as Stripe Connect, Atlas, or Sigma Build data pipelines that track our marketing funnel from visits to onboarding to active usage of Stripe Work on our centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics Improve our data visualization tooling and platform at Stripe to help the team create dynamic tools and reporting Our stack spans tools in Scala, Python, R, Javascript, React, SQL You might be a fit for this role if you: 5+ Years of experience in a Data Engineering or Data Science role, with a focus on building data pipelines or conducting data intensive analysis. Have a strong engineering background and are interested in data Have prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…) Have an inquisitive nature in diving into data inconsistencies to pinpoint issues Knowledge of a scientific computing language (such as R or Python) and SQL The ability to communicate cross-functionally, derive requirements and architect shared datasets You should include these in your application: A resume and LinkedIn profile
Stripe San Francisco, CA, USA
Oct 30, 2018
Full-time
Generate insights and impact from data. Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. With all this data, we’re looking for talented data scientists to join the Data Science team to help us better understand our users and build better products. If you are data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you. You will: Work closely with product and business teams to identify important questions and answer them with data Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products Design, analyze, and interpret the results of experiments Drive the collection of new data and the refinement of existing data sources You’d ideally have: 3+ years experience working with and analyzing large data sets to solve problems A PhD or MS in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering, CS) Expert knowledge of a scientific computing language (such as R or Python) and SQL Strong knowledge of statistics and experimental design The ability to communicate results clearly and a focus on driving impact Nice to haves: Prior experience with data-distributed tools (Scalding, Hadoop, Pig, etc). You should include these in your application: A resume and LinkedIn profile Description of the most interesting data analysis you’ve done, key findings and its impact Link or attachment of code you’ve written related to data analysis