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Stripe
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  • Impactful Data Scientist - ML & Experiments  

    - Toronto

    A financial infrastructure platform is seeking experienced Data Scientists to collaborate across various teams, leveraging data to inform strategic decisions. Required qualifications include a PhD or equivalent experience in quantitative fields, proficiency in SQL, and strong skills in machine learning and statistics. Experience with tools like Spark and Hadoop is preferred. The role offers the opportunity to make a significant impact within the company’s operations and growth strategies. #J-18808-Ljbffr

  • Data Scientist  

    - Toronto

    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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. 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 PhD + 3 years, MS/MA + 6 years or BS/BA 8 years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands‑on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross‑functional teams to deliver results Ability to communicate results clear and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Solid business acumen and experience in synthesizing complex analyses into actionable recommendations A builder’s mindset with a willingness to question assumptions and conventional wisdom Preferred qualifications Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) #J-18808-Ljbffr

  • A leading fintech company in Toronto is seeking experienced software engineers to build and design innovative payment solutions. You will collaborate across teams to enhance product infrastructure, debug production issues, and mentor junior engineers. This role offers a hybrid work environment and a competitive salary range between CA$135,200 - CA$258,000, depending on the candidate's experience and location. Join a company that values diverse perspectives and challenges assumptions. #J-18808-Ljbffr

  • Data Scientist  

    - Toronto

    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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

    What you'll do We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

    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

    PhD + 3 years, MS/MA + 6 years or BS/BA 8 years of data science/quantitative modeling experience

    Proficiency in SQL and a computing language such as Python or R

    Strong knowledge and hands‑on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation

    Experience in working with cross‑functional teams to deliver results

    Ability to communicate results clear and a focus on driving impact

    A demonstrated ability to manage and deliver on multiple projects with a high attention to detail

    Solid business acumen and experience in synthesizing complex analyses into actionable recommendations

    A builder’s mindset with a willingness to question assumptions and conventional wisdom

    Preferred qualifications

    Experience deploying models in production and adjusting model thresholds to improve performance

    Experience designing, running, and analyzing complex experiments or leveraging causal inference designs

    Experience with distributed tools such as Spark, Hadoop, etc.

    A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

    #J-18808-Ljbffr

  • Treasury Finance Operations  

    - Toronto

    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

    Treasury Operations is integral to the strategy, execution and support of many of Treasury Finance’s core functionalities (cash management, investment management, payments processing, risk management and compliance). This role will reside within our Liquidity Management team and work closely with our Capital Markets and Capital Financial Risk Management teams. What you’ll do

    At its core, Stripe is a Treasury company and we are building a top-notch Treasury Operations team to support our critical functions. In addition to day-to-day operational support across the Treasury Finance functions, you will help drive the transformation towards more efficient and automated processes, helping build tools and systems to create operational excellence within each aspect of Treasury Operations. You will also help to develop metrics to ensure we’re continuously improving our processes and infrastructure to support and scale new products with the goal of a world-class Treasury Operations function. Responsibilities

    Support our cash management processes (including funding, cash position rebalancing, forecasting and other aspects of treasury operations) Help manage settlement operations relating to FX and interest rate trading, investigation of breaks and aged items, and bank partner relationship management in market Analyze and optimize funds flows across a number of areas including product/user requirements, costs, working capital, liquidity risk, and other constraints leveraging system solutions where possible Develop and implement Treasury Finance policies, procedures, risk assessment and controls across a number of operational functions Iterate on metrics in partnership with Data Science to build on observability of our daily operational processes Liaise with audit, risk and compliance team to ensure adherence to internal and external controls and regulatory reporting requirements 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. 5+ years of Treasury experience, preferably within liquidity management, financial risk management and process improvements Strong problem-solving skills. You enjoy “rolling up your sleeves” to dive into details of a complex problem to come up with scalable solutions Experience building processes and leveraging systems, data and AI to scale treasury operations Strong communication skills to build cross functional relationships Fast learner, with exceptional attention to detail, and ability to multi-task and navigate a fast-paced environment with tight deadlines and flexibility with changing requirements Preferred qualifications

    Strong knowledge of payments industry Knowledge of regulations that pertain to the payments and financial services industry Experience with Python, SQL, R, or equivalent Experience with a variety of AI tools Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is CA$100,600 - CA$151,000. 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. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

    #J-18808-Ljbffr

  • Full Stack Engineer, Billing  

    - Toronto

    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 Organization

    The Revenue and Financial Automation (RFA) team at Stripe is building a modern, revenue-focused, financial management platform for fast growing, digital native companies. Billing: Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering Usage-Based Billing, and providing recovery and retention tools to prevent customer churn.

    Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do

    We’re looking for Full Stack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. Responsibilities

    Scope, architect, and lead technical projects to improve on existing features and solve new problems.

    Debug production issues across services and multiple levels of the stack

    Design, build, and maintain user-facing experiences, services, APIs, and systems.

    Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.

    Develop and execute against both short- and long-term roadmaps.

    Teach and mentor engineers to grow into the next generation of leaders at Stripe.

    Partner with engineers and product managers on infrastructure and other product teams to ensure your features are part of an integrated Stripe suite.

    Establish and uphold best practices in engineering, security, and technical design

    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. 2-5 years of industry software engineering experience (does not include internships nor includes co-ops)

    Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)

    Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success

    Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

    Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

    Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is CA$135,200 - CA$202,800. 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. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

    #J-18808-Ljbffr

  • ML Infra Engineer — Scalable AI Platforms  

    - Toronto

    A prominent financial technology firm in Toronto is seeking a Software Engineer to work on machine learning infrastructure. You will design scalable systems and collaborate closely with ML and product teams. The ideal candidate has over 2 years of software development experience and knowledge of ML or AI systems. This role offers a salary range of CA$135,200 - CA$202,800 and flexible work arrangements including remote options. #J-18808-Ljbffr

  • Join a dynamic team as a Full Stack Engineer focusing on billing solutions. Drive impactful projects that enhance user experiences and empower millions of businesses worldwide.

    This position involves developing software services that cater to a diverse range of users, from developers to business partners. You will collaborate closely with cross-functional teams while leveraging your coding expertise and problem-solving skills. As part of a mission-oriented organization, your work will shape the future of financial management for growing digital companies.

    Key Responsibilities: • Scope and lead technical projects for billing features • Debug production issues across multiple services • Design and maintain user-facing APIs and experiences • Make impactful tradeoffs prioritizing user experience • Mentor junior engineers to foster leadership

    Requirements: • 2-5 years industry software engineering experience • Proficient in any programming language • Strong collaboration skills with team-oriented mindset • Entrepreneurial spirit and ability to work autonomously • Generalist experience across various technologies

    Shape the landscape of digital billing solutions while enhancing user engagement and driving innovative financial technologies forward. #J-18808-Ljbffr

  • Engineering Manager, Agent Experience  

    - Toronto

    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 Agent Experience team is at the forefront of a monumental shift in how the world interacts with financial infrastructure. Our mission is to make Stripe as seamless and powerful for AI agent users as it is for human users. We’re building the infrastructure you need to turn AI agents into active economic participants, making it simple for your autonomous systems to transact, scale, and thrive. This is a high-growth, rapidly evolving space. We operate with the speed and creative autonomy of a startup, backed by the scale and rigor of Stripe. You will lead a talented group of engineers navigating the rapidly evolving Agentic AI landscape, building the tools and systems that will define how AI interacts with the global economy. What you’ll do

    As the Engineering Manager for Agent Experience, you will be responsible for scaling a mission-critical team from its early stages. You will balance deep technical strategy in the AI space with a relentless bias-for-action, ensuring we ship high-leverage tools for developers and their agents. Responsibilities

    Lead and Scale: Build and manage a high-performing team of 10+ engineers, ranging from early-career to Staff level. You will own the hiring roadmap and the professional development of your team.

    Define Agentic Strategy: Partner with product and executive leadership to shape the long-term vision of how AI agents consume Stripe’s APIs and services.

    Execute with Urgency: Foster a "bias-for-action" culture that allows the team to ship rapidly in an evolving market without sacrificing the reliability expected of financial infrastructure.

    Drive Technical Excellence: Oversee the design and delivery of complex back-end systems and developer tools, ensuring they are extensible, secure, and intuitive for both humans and agents.

    Collaborate Cross-Functionally: Act as a primary bridge between your team and Stripe’s senior leadership, influencing company-wide strategy for AI integration and agentic workflows.

    Navigate High-Stakes Environments: Ensure all innovations meet Stripe's high bar for security and compliance, particularly as we operate within regulated financial ecosystems.

    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. 5+ years of engineering management experience, with a proven track record of managing and growing teams of 10+ engineers.

    Deep domain expertise in the Agentic AI space or a strong background in building sophisticated developer tools and back-end systems.

    Exceptional communication skills, with the ability to distill complex technical concepts into clear strategic frameworks for peers and executives.

    Experience in rapid-growth environments, specifically a history of successful, high-volume hiring and team scaling.

    Technical proficiency to engage deeply with Staff-level engineers on system architecture, API design, and AI model integration.

    Preferred qualifications

    A "dual-track" career history with experience in both early-stage startups and high-growth, at-scale technology companies.

    Experience navigating high-stakes, regulated industries such as Fintech or Healthcare.

    A strong point of view on the future of AI-driven economies and the "agentic" evolution of software.

    Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is CA$213,600 - CA$320,400. 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. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

    #J-18808-Ljbffr

  • A leading fintech company in Toronto is seeking an experienced Engineering Manager for the Agent Experience team. This role involves managing a high-performing team of engineers, defining strategies for AI interactions, and ensuring high-quality delivery of complex tools and systems. Candidates should have 5+ years of management experience, excellent communication skills, and a background in scalable development environments. This position offers a competitive salary and the opportunity to shape how AI integrates with financial infrastructure. #J-18808-Ljbffr

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