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Careers at Stripe

Browse and filter through all verified positions currently open at Stripe.

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stripe.comHQ: San Francisco, California, United States

Stripe is a set of tools for building and running an internet business. We help businesses accept payments from anyone, anywhere, and build new kinds of companies like Lyft or Kickstarter. Internally, we say our goal is to increase the GDP of the internet---we want to bring more businesses online worldwide. In everything we do, we put our users first. We work hard to build the cleanest, most robust APIs possible so that our users can focus on building great products. There's always something more we can do---we're constantly seeking out areas of our product we can improve. We're building a company with folks from all sorts of backgrounds, who make great coworkers and who share and exemplify a few core values: people who are humble, respectful, inclusive, and ready to roll up their sleeves and get important work done for our users. If that's you, we'd love to talk! Stripe's investors include Sequoia Capital, Khosla Ventures, Andreessen Horowitz, and PayPal co-founders Peter Thiel, Max Levchin, and Elon Musk.

Sector:cloud infrastructurecomputer softwareconsumer goodsconsumer internetconsumers

All Openings (134)

Ordered by most recently published

Software Engineer, Authorization Infrastructure

On-sitefull timeMid-LevelWorldwide (On-site)
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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 Stripe will succeed at our mission of increasing the GDP of the internet only if we preserve Stripe users’ trust. To achieve their trust, the team is building authorization infrastructure and a platform that ensures proper authorization for users and services. We enforce access controls and provide access observability and policy governance. We collaborate with teams across Stripe to adopt our authorization platform to protect their resources, especially Stripe users’ data. Ultimately we ensure resources across Stripe are accessed securely and in compliance with policies, hence maintaining Stripe users’ trust. What you’ll do We’re looking for an engineer who is passionate about addressing tough problems in the authorization space. This role is critical, not only for Stripe, but for the future of the commercial internet. Responsibilities Build and maintain reliable, performant and scalable authorization infrastructure (e.g. libraries, frameworks, services). Build comprehensive understanding of authorization needs of our users (e.g. product teams and infrastructure teams). Build comprehensive, easy-to-use, and policy driven authorization solutions. Collaborate with our users to adopt our authorization solutions to protect their resources by providing a great user experience. Build access visibility and continuous policy governance to empower resource owners, legal and compliance to put risk of inappropriate access under control. 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 2-5 years of professional hands-on software development experience Has experience in the security domain Has a curious and learning mindset, regardless of level or experience Has empathy, strong communication skills and a deep respect for the power of collaboration Works well cross-functionally and cross-team; and your co-workers at all levels trust you Drives clear next steps when encountering ambiguous spaces without clear lines of ownership Thinks creatively and holistically when solving problems Prefers simple solutions and designs over complex ones, and have a good intuition for what is lasting and scalable. High standards for code quality and a constructive attitude to help others raise the bar Preferred qualifications Experience in the authorization domain Experience with Go, Java or Ruby

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Software EngineeringVia Greenhouse
VerifiedToday

Machine Learning Engineer, Growth Platform

On-sitefull timeMid-LevelSan Francisco, United States
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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 Growth Platform builds the machine learning systems that help businesses discover and use the Stripe products that meet their needs. Our recommendations reach users across the Dashboard, email, onboarding, documentation, and AI agent interfaces. We combine an understanding of each business with models that decide which recommendation is useful, when to show it, and how to learn from the outcome. Our work spans recommendation and ranking models, contextual bandits, agent-based recommendations, and the data and evaluation systems behind them. We build shared capabilities that product, marketing, and sales teams can use across Stripe. Success means helping businesses take useful actions and adopt products that help them grow, while keeping recommendations relevant and avoiding unnecessary messages. What you’ll do You will build and operate production ML systems that improve how Stripe recommends products, content, and next steps to businesses. You will own work from problem definition and feature development through training, evaluation, deployment, monitoring, and iteration. Working with data scientists, engineers, and product partners, you will turn model improvements into measurable user and business outcomes. Responsibilities Design, train, evaluate, deploy, and maintain models for recommendation, ranking, and personalized action selection across Growth Platform surfaces. Improve contextual bandit and policy-learning approaches, including exploration, reward design, and how recommendations adapt to user context and feedback. Build agent-based recommendation capabilities that use business context to identify relevant products and integration options, with evaluations that test recommendation quality and usefulness. Develop reliable data and feature pipelines for training and inference. Improve data freshness, feature quality, and consistency between training and production. Build reusable tooling for model evaluation, retraining, and safe rollout so the team can test and ship improvements faster. Own the quality and operation of the team's ML components: write tested production code, monitor models and pipelines, investigate failures, and improve reliability, latency, and cost. Design and analyze online experiments with data science partners. Connect offline evaluation to product adoption and incremental impact, with guardrails for dismissals, unsubscribes, and user experience. Partner with product engineering to integrate models into recommendation delivery systems, and with ML infrastructure teams to use and improve Stripe's shared training, feature, and serving capabilities. Work with product, marketing, and sales partners to identify problems that shared ML capabilities can solve, and make practical choices about where modeling adds value. Who you are You are a machine learning engineer with a builder mindset. You care about the business problem, the quality of the model, and what happens after it ships. You can move between modeling and software engineering, make practical tradeoffs, and take ownership of an ambiguous problem through production and measurement. 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 3+ years of industry experience in machine learning engineering, software engineering, or applied data science, with hands-on experience building and shipping ML models in production. Strong programming skills in Python and experience writing maintainable, tested production code. Practical experience designing, training, and evaluating ML models using frameworks such as PyTorch, TensorFlow, XGBoost, or scikit-learn. Experience building data or feature pipelines, proficiency in SQL, and familiarity with distributed data processing tools such as Spark or PySpark. A strong understanding of statistics, model evaluation, and experimentation, including the ability to recognize data leakage and distinguish offline model improvements from business impact. Experience deploying, monitoring, and debugging production ML systems, and evaluating tradeoffs among model quality, reliability, latency, and cost. Ability to turn an open-ended business problem into a technical approach and collaborate effectively with engineering, data science, product, and business partners. Preferred qualifications Experience with recommendation systems, ranking, personalization, or marketplace and advertising optimization. Experience with contextual bandits, policy learning, causal inference, or off-policy evaluation. Experience building and evaluating LLM applications, including structured extraction, embeddings, or recommendations grounded in user and business context. Experience building reusable ML capabilities used by multiple products or teams, including training automation, feature systems, or model monitoring. Experience with product growth, lifecycle messaging, or systems that balance short-term engagement with longer-term user outcomes.

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AI / ML & Data ScienceVia Greenhouse
Verified1 day ago

Engineering Manager - LPM Foundations

On-sitefull timeSeniorDublin, Ireland
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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 payments landscape is changing rapidly, with businesses and their customers relying on a growing mix of local payment methods, cards, wallets, bank payments, buy now, pay later, and digital currencies. Stripe’s Local Payment Methods (LPM) business is one of our fastest-growing payments businesses. LPM Foundations builds and operates the core platform that enables Stripe’s Local Payment Method teams—and their first- and third-party developers—to build, integrate, and run high-quality payment methods at scale. We turn complex product integrations into reusable, self-service platform capabilities so teams can launch new LPMs faster and reduce the long-term cost of operating them. This is a payments role with a platform and AI focus. We are building the foundations, interfaces, and workflows that let product and engineering teams use AI effectively to accelerate development, improve decisions, and scale reliable payments experiences globally. What you’ll do As an Engineering Manager, you will lead the LPM Foundations team at the center of Stripe’s long-term payments growth strategy. You will translate regional and strategic priorities into a focused platform roadmap, shape technical direction with your team, and drive execution across the systems behind critical payment flows. You will be deeply involved in engineering and design, while coaching, mentoring, and creating the conditions for an effective, inclusive team. Responsibilities Set the vision and roadmap for platform capabilities that help LPM teams build, integrate, and operate payment methods at scale. Lead engineers in designing and delivering reliable, self-service foundations that simplify complex integrations and speed up launches. Build an AI-first engineering organization: develop the platform hooks and working practices that enable agentic development and help teams use AI to improve execution and product-engineering decisions. Partner closely with customers, engineering, product, partnerships, legal, operations, and other stakeholders to align priorities and deliver end-to-end outcomes. Drive clear technical and architectural decisions with staff engineers, balancing reliability, extensibility, velocity, and regional payments complexity. Lead and improve the team’s operating processes so it can execute effectively and engage well with the rest of Stripe. Recruit, develop, and retain great engineers; support their growth and help build a challenging, supportive, and inclusive team culture. Contribute to engineering-wide initiatives as a member of Stripe’s engineering management team. 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 At least 5 years of experience managing teams that shipped high-quality products. An entrepreneurial mindset and comfort operating with a high degree of autonomy and responsibility in an ambiguous environment. A track record of recruiting, developing, and building great engineering teams. The ability to work effectively across functions, think rigorously, communicate clearly, and make or coordinate hard decisions and trade-offs. Technical acumen to partner with staff engineers on architecture and technical strategy. Experience creating a healthy and inclusive work environment that is both challenging and supportive. Preferred qualifications Experience building platforms, developer products, or large-scale distributed systems. Experience applying AI to software development, engineering workflows, or product delivery, with strong judgment about where it creates durable value. Strong written and verbal communication skills for leadership, users, and company-wide audiences. A strong quantitative and analytical background. Experience leading fully remote or distributed teams.

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Engineering ManagementVia Greenhouse
Verified3 days ago

Senior Software Engineer, Backend

On-sitefull timeSeniorSeattle, United States
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Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Building and operating critical, large-scale systems that manage massive volumes of financial information, to fulfill business goals for Stripe and its partners; Navigate a complex fintech environment with numerous compliance regulations, translating internal and external business needs into robust software requirements and scalable distributed systems; Lead cross- functional alignment and provide technical direction for multi-team projects; Build large-scale (petabyte-size) financial data platforms, solutions, and pipelines using Big Data technologies and distributed systems; Debugging production issues across the stack, analyzing complex datasets and designing large-scale data pipelines using modern Big Data technologies to ensure reliable, high-performance solutions; Executing projects related to insights into Stripe’s financial performance across multiple Stripe products; Work on systems critical to Stripe's future financial operations, with impact over billions of dollars of payment volume; Deeply understand the design and architecture of modern payments and financial technology across countries; and Leverage experience with monitoring, incident handling, debugging in production environments to ensure data pipeline health and SLOs, while reducing operational toil via automation. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, Information Systems Security, or a related field, plus five (5) years of related work experience in Software Engineering. Must also have experience in each of the following: 5 years of experience programming in Java, Scala, or Python; 5 years of experience designing, building, and maintaining scalable distributed systems; 5 years of experience debugging production issues across services and multiple levels of the stack; 5 years of experience with different testing tools and frameworks including JUnit, Mockito, and TestNG; 4 years of experience developing complex SQL queries, analyzing datasets and designing large-scale data pipelines; 4 years of experience working in fintech domain; 4 years of experience leading cross-team projects and building alignment on multi-team technical direction; and 1 year experience working with Apache Spark or similar modern Big Data technologies. Salary: $206,086.00 - $285,600.00/yr. This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA80 #LI-DNI

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Software EngineeringVia Greenhouse
Verified3 days ago

Offensive Security Engineer

Remotefull timeSeniorUnited States (Remote)
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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 Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture. We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer. The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia. What you'll do As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide. Beyond assessments, you'll design and build offensive tooling and automation that amplifies the team's impact. You'll leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company. Responsibilities Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage Build internal platforms and workflows that enable scalable, repeatable offensive operations Contribute to internal security tooling repositories and champion engineering best practices within the team Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community 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 5+ years of experience in offensive security, penetration testing, red teaming, or a related field Strong programming skills in Python, Go, or similar languages, with demonstrated experience building tools, automation, or custom exploits Deep knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability classes (injection, auth flaws, business logic, etc.) Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud-native attack techniques and misconfigurations Proficiency with offensive tooling such as Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound, or similar frameworks Familiarity with adversary tradecraft and frameworks such as MITRE ATT&CK, including TTPs for initial access, privilege escalation, lateral movement, and exfiltration Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, risk-based recommendations Ability to think like an adversary — creative, persistent, and able to holistically assess risk in complex environments Preferred qualifications Experience conducting offensive security in fintech, financial services, or other highly regulated environments Background in vulnerability research, exploit development, or CVE discovery Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations) Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows Interest or experience in agentic automation — using LLMs or autonomous agents to augment reconnaissance, vulnerability discovery, or exploitation workflows Experience testing AI/ML systems or LLM-based applications for security weaknesses (prompt injection, training data extraction, model manipulation, etc.) Contributions to open-source security tools, published research, blog posts, or conference presentations Relevant certifications such as OSCP, OSWE, OSEP, OSED, CRTO, CPTS, PNPT, GXPN, or cloud security certifications Location This role is remote within the United States. While you are welcome to visit Stripe offices for team meetings, on-sites, and events, our expectation is that you would regularly work from home. The team primarily coordinates across Eastern and Pacific time zones, with regular collaboration with stakeholders in Europe and Asia. Compensation & Benefits The annual US base salary range for this role is $170,400 – $255,700. This range may span multiple career levels and will be refined during the interview process based on experience, qualifications, and location. Additional benefits include: Equity participation in Stripe's growth 401(k) plan with matching contributions from day one Comprehensive medical, dental, and vision coverage Wellness stipends Annual budget for training, certifications, and conference attendance

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CybersecurityVia Greenhouse
Verified3 days ago

Data Scientist

On-sitefull timeMid-LevelSeattle, United States
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Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests; Design the next generation of Stripe products to meet the high growth needs of our company and customers; Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints; Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards; Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company; Mentor early-career engineers to help them grow and spin up into independent engineers; and Construct core engineering tenets and design principles for their team’s projects. Who you are Minimum requirements Master’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling. In the alternative, the employer will accept a Bachelor’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 7 years of related work experience in data science or quantitative modeling, of which at least 5 years must be post-bachelor’s progressive related work experience. Must also have 4 years’ experience in each of the following: SQL; Programming languages including Python or R; Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production; Translating complex data analysis into actionable business outcomes; Writing or contributing to product strategy, roadmap, or technical design documents; Must have 3 years of experience in: Designing and analyzing production experiments to drive strategic and technical outcomes. Salary: $193,232 - 288,000/yr This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA53 #LI-DNI

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AI / ML & Data ScienceVia Greenhouse
Verified3 days ago

Product Manager - Developer Experience, Bridge

On-sitefull timeLead / StaffSan Francisco, United States
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Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the team Join our Product team to build the systems that make global, programmable money trustworthy at scale. At Bridge, we’re not just improving global payments — we’re reinventing how money moves across borders using stablecoins and modern financial infrastructure. As a Product Manager for Developer Experience, you'll own the end-to-end developer experience from their first encounter with Bridge to transacting billions of dollars in volume on our platform. You'll work at the intersection of product, engineering, data, and go-to-market to build the self-serve onboarding, developer Dashboard, and activation systems that help any developer build a scaled and successful business with Bridge. This role is about enabling a developer of any size and stage to build and scale their business successfully on Bridge. What you’ll do Responsibilities Own the end-to-end developer lifecycle and key products, spanning self-serve sign-up, KYB and onboarding, the developer Dashboard, and activation and retention programs. Drive product features from ideation to launch in close collaboration with engineering, design, data, and go-to-market teams. Design and evolve data-driven signals and systems that recognize what a developer needs at each stage and respond automatically with the right nudges, support, and interventions. Define and own the product roadmap that creates a scalable and intuitive experience for every developer to use Bridge’s full suite products. Define and own key developer metrics (e.g. activation rate, time-to-first-transaction, developer retention) to drive business impact. Partner closely with go-to-market and support teams to understand developer feedback and ship improvements rapidly. 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. What You’ll Need to Thrive Empathy for users : You’re passionate about uncovering and solving pain points. Deep curiosity : You never stop asking “why” and dig into both qualitative and quantitative data. Owner’s mentality : You tackle challenges head-on and drive solutions with conviction. Collaborative spirit : You work seamlessly with team members but aren’t afraid to make the call when needed. Clarity and simplicity : You translate complex systems into intuitive, straightforward user experiences. Bias for learning : You embrace mistakes as opportunities to grow and improve quickly. Preferred Qualifications 6–10+ years of product management experience, with exposure to developer platforms, onboarding, and product-led growth. Experience building or owning systems related to onboarding, activation, retention, or self-serve growth. Experience operating across multiple customer segments or go-to-market motions, from self-serve to enterprise. Comfort working with APIs, dashboards, or developer-facing platforms. Experience in fintech, payments, or crypto. If you’re ready to shape the future of how money moves, we want to hear from you!

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Software EngineeringVia Greenhouse
Verified3 days ago

Software Engineer, Stripe Data Pipeline

On-sitefull timeSeniorBengaluru, India
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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 Stripe Data Pipeline —The Stripe Data Pipeline (SDP) team owns a critical product that delivers all of a merchant's Stripe data directly into their data warehouse. We serve major technology companies and Fortune 100 enterprises, delivering petabytes of data daily with high reliability, low latency, and strong correctness guarantees. SDP is marching towards 99.99% availability and near real-time data freshness across multiple warehouse platforms. Merchants depend on this data for their own billing, reconciliation and analytics, and the quality of what we deliver has immediate, visible impact. The systems are distributed, multi-tenant, and operate under strict SLAs. You will work on hard problems at the intersection of data infrastructure, merchant-facing product, and operational excellence. What you'll do As a Software Engineer, you'll design and build platforms and system solutions that are configurable and scalable around the globe. You'll partner with many functions at Stripe, with the opportunity to both work on financial platform systems, as well as direct user-facing business impact. Responsibilities • Design, build, and maintain APIs, services, and systems across engineering teams at Stripe. • Work with engineers across the company to build new features at large scale. • Maintain a collaborative environment, engaging in discussions and decision-making processes with stakeholders within various domains at Stripe. 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 • 7+ years of experience in delivering, extending, and maintaining large-scale distributed systems • Love to design systems that are elegant abstractions over complex patterns and practices, especially in the financial industry. • Hold yourself and others to a high bar when working with production systems. • Take pride in working on projects to successful completion involving a wide variety of technologies and systems. • Think about systems, services, and platforms, and write high-quality code. • You have great product taste and a track record of taking complex problems and solving them elegantly. • You are capable of working in ambiguous, fast-moving environments and have a curiosity to learn the domain to a deep level. • Enjoy working with a diverse group of people with different expertise. Preferred qualifications • Familiarity with large-scale distributed systems • Experience working in high-growth teams similar to Stripe

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Software EngineeringVia Greenhouse
Verified3 days ago

Machine Learning Engineer, Link

On-sitefull timeSeniorNew York, United States
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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 Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted. The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems. We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products. What you’ll do As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling choices, and define technical direction in partnership with Engineering, Product, and Data Science. Your work will directly influence Link’s fraud performance, authorization rates, and ability to expand into new products and payment experiences. Responsibilities Build, train, evaluate, deploy, and own machine learning models that detect fraud and abuse across Link. Use large-scale datasets to investigate emerging threats, develop hypotheses, and identify opportunities to improve payment performance. Develop pragmatic machine learning solutions, including tree-based models and other approaches suited to real-time risk decisioning. Design data pipelines, features, evaluation methods, experiments, and monitoring systems that support reliable production models. Build and improve risk decisioning systems that integrate with other parts of Stripe’s payments stack. Own ambiguous problems from initial analysis and problem definition through technical design, implementation, launch, measurement, and iteration. Collaborate with Engineering, Product, Data Science, and Risk partners across Stripe to turn model improvements into durable product outcomes. 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 6+ years of industry experience building and shipping machine learning models in production. Strong programming skills in Python and experience with common data and machine learning tools, such as SQL, Spark, and XGBoost. Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration. Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals. Demonstrated ability to take an open-ended business problem, determine where machine learning can help, and own the solution through production. Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model performance, system complexity, latency, and business impact. Strong collaboration skills and the ability to work across teams and contribute to peers' success. Preferred qualifications Experience applying machine learning to fraud detection, risk modeling, payment authorization, identity, account security, or another adversarial domain. Experience building real-time, low-latency machine learning or risk decisioning systems at scale. Experience integrating models into production services and designing reliable systems around model outputs. Experience with payments, fintech, digital wallets, or money movement. Strong software engineering skills and experience designing solutions across the machine learning and product stack.

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AI / ML & Data ScienceVia Greenhouse
Verified3 days ago

Software Engineer, Backend

On-sitefull timeMid-LevelSeattle, United States
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Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Develop scalable computer systems that manage a large volume of information and use them to fulfill business goals for the company and its partners. Improve backend scalability and performance by integrating lightweight backend framework, overhauling APIs and optimizing database systems. Design and build tools that ingest and process signals from various sources to make them more accessible for the company’s partner teams. Design and implement logging and data visualization system for backend APIs. Diagnose and resolve software issues reported from production, automated testing, QA testing and customers. Design and implement scalable and reliable automated testing suites to reduce manual Quality Assurance tasks. Collaborate with cross-functional teams and streamlined software development and deployment processes with Continuous Integration (CI) and Continuous Delivery (CD) pipelines. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus six (6) years of software development experience. Must also have four (4) years of experience in each of the following: Building software solutions in Java, C++, Python, or Ruby; Designing, building and maintaining scalable systems; Translating business needs into software requirements and designs; Debugging production issues across services and multiple levels of the stack; Distributed systems; and Design and implementation of scalable high-performance RESTful microservices. Salary: $206,086 - $285,600/yr This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA58 #LI-DNI

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Software EngineeringVia Greenhouse
Verified3 days ago

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