Stripe

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’s Funded AE team sits within our New Business Sales function and is responsible for closing net-new accounts for Stripe. You have the opportunity to sell the entire suite of Stripe products and run the full sales cycle through onboarding. What you’ll do As a Startup Account Executive at Stripe, you will drive Stripe’s future growth engine by building relationships with founders of the fastest growing venture-backed companies. You’ll manage inbound leads and the full sales cycle through onboarding, turning them into happy Stripe users. Responsibilities - Own the full sales cycle from lead to close for startups - Identify high-potential prospective users from inbound leads - Lead and contribute to team projects to develop and refine our sales process, including engaging with Accelerators and VC firms - Engage with Product, Marketing and User Operations teams to help amplify our growth trajectory Who you are You’re a motivated, users-first driven individual, capable of engaging in business-level and technical conversations at multiple levels of the organization. You have experience working with startups or small/medium businesses, or are currently in a client facing role. You have an understanding of the buyer journey and can lead short, single stakeholder deals as well as complex multi-party sales in a highly consultative manner. You are used to building value in competitive situations and enjoy working on products that require deep understanding, combined with technical knowledge. As a member of the Funded Startup team, you’ll incubate and launch new sales channels for prospective users. Finally, you’ll develop scalable strategies and repeatable processes that enable us to amplify the number of new businesses joining Stripe. If you’re hungry, smart, persistent, and a great teammate, we want to hear from you! Minimum requirements - 2+ years of sales or client facing experience, preferably at a high-growth Saas company, bank, consultancy or venture capital firm, with a track record of top performance - Ability to understand the Stripe API and build great relationships with highly technical founders - Ability to understand complex requirements and craft custom solutions - Strong analytical and quantitative capabilities including comfort with basic modeling - Superior verbal and written communication skills - Ability to operate in a highly ambiguous and fast-paced environment - Strong interest in technology

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 We design the products founders and finance teams use to understand their business and grow it. That spans two connected areas. - Data Products covers analytics, database, and data pipeline. These are the surfaces where a business asks questions of its own Stripe data and gets answers - Ecosystems and Startups covers Atlas, the App Marketplace, and the Business Network. These are how a company incorporates, connects to the tools around it, and transacts with other businesses on Stripe What you’ll do This role sits at the intersection of building trust in the internet economy, platform design, and new product creation, making it one of the most strategically important design opportunities at Stripe. It’s a strong fit for a designer who is energized by ambiguity, motivated by impact, and excited to shape both shared systems used across Stripe and net-new products. 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 - 10+ years of design experience at a tech, product-driven company - A strong portfolio demonstrating excellent craft, systems thinking, and end-to-end design, including a strong understanding of AI tools - Experience leading complex product work in close partnership with product management engineering, and design leadership - Experience shaping ambiguous spaces and driving clarity through design - A track record of influencing cross-functional teams and product direction Preferred qualifications - Thrive in environments where the opportunity spans systems, strategy, and zero to one product thinking - Enjoy turning complex systems, policies, and edge cases into elegant product experiences - Are energized by ambiguous, strategic problem spaces, not just well-defined execution - Are an influential storyteller who can align partners around a clear point of view - Can move fluidly between big-picture thinking and interaction-level craft - Know how to build trust through design, especially in high-stakes or sensitive user moments - Work well across disciplines and build credibility with technical, operational, and policy-oriented partners

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 - Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data. - Work closely with product and business teams to identify important questions and answer them with data. - Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. - Conduct exploratory analysis on internal data to understand user behavior to inform product development. - Drive the collection of new data and the refinement of existing data sources. - Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution. - Predict future performance of users or products. - Define, measure, and monitor key outcome metrics for teams and support Stripe’s business. - Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization. - Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of experience in Data Science or a related occupation. Must have three (3) years in each of the following: - Statistical and machine learning methods; - Numerical optimization & integer programming; - SQL; - Python; - Optimization; and - Forecasting and machine learning domain. Salary: $192,000.00 - $288,000.00/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. Up to 10% domestic travel required. 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. WA34 LI-DNI

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 MALPB operates in a highly complex, fast-moving regulatory environment. The Risk and Compliance team is responsible for ensuring that our expansion is grounded in a bulletproof governance framework that matches the speed of our technology. Having successfully established our foundational ERM policies, taxonomy, and risk registers, we are entering the integration phase. This team is building the future of "AI-Native" risk management—where governance frameworks are embedded into daily business operations through automated data pipelines, machine learning, and LLM orchestration. What you’ll do As the sole dedicated ERM Lead for Stripe MALPB, you will own the enterprise risk program end-to-end. This is a unique hybrid role designed for a technically fluent risk architect. - Roughly 1/3rd of your time will be dedicated to ERM Integration and Execution: rolling out our mature risk framework to the First Line (1LoD), running the RCSA cycle, managing the control library, and synthesizing risk scorecards for executive and Board-level reporting. - Roughly 2/3rds of your time will be dedicated to AI and Control Automation Design: acting as a hands-on developer to build and scale LLM tools, automated evidence-collection scripts, and real-time monitoring workflows that eliminate manual compliance overhead. Responsibilities ERM Framework Integration & Execution (1/3rd) - Enterprise Rollout: Drive the cross-functional implementation and adoption of the established ERM framework across all Stripe MALPB business lines and operational functions. - RCSA Facilitation: Execute the annual and semi-annual Risk and Control Self-Assessment (RCSA) cycles, providing robust independent 2LoD challenge to 1LoD risk ratings and control effectiveness. - Control Library & Governance: Maintain the Master Control Library, Central Risk Register, and universal Risk Taxonomy, ensuring strict version control, change management, and alignment with emerging threats. - Appetite & KRI Monitoring: Aggregate, analyze, and validate Key Risk Indicators (KRIs) against Board-approved Risk Appetite thresholds; trigger formal remediation and Management Action Plans (MAPs) upon breach. - Board & Executive Reporting: Synthesize quantitative risk metrics and qualitative horizon scanning into the quarterly Enterprise Risk Scorecard for presentation to the Management Risk Committee and the Board of Directors. AI & Control Automation Design (2/3rd) - Automated Evidence Collection: Design, write, and deploy automated data extraction pipelines (via SQL and APIs) to systematically sample and pull control verification data from core systems. - LLM Orchestration: Build and implement AI/LLM agents to perform semantic analysis on operational logs, policy documents, and compliance records, automatically flagging anomalies or control deficiencies. - GRC System Engineering: Partner with technical teams to optimize and configure our GRC infrastructure, implementing automated self-attestation workflows and removing system bottlenecks. - Continuous Monitoring: Transition the bank away from passive, point-in-time testing toward a real-time, automated dashboard environment that monitors key operational and regulatory controls dynamically. 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. We are looking for a rare breed of professional: someone with the executive presence to stand up a banking governance program, combined with the hands-on engineering capabilities to automate it themselves. Minimum requirements - Experience: 8+ years of experience in enterprise risk management, operational risk, or risk advisory within a regulated financial institution, FinTech, or Big 4 tech-risk consultancy. - Execution Track Record: Proven experience successfully rolling out and integrating risk programs (RCSAs, KRIs, Control Libraries) into active, fast-paced operational business units. - Technical Proficiency: Hands-on experience writing Python and SQL to query databases, manipulate data, and interface with standard web/REST APIs. - AI/Automation Familiarity: Experience using modern LLM APIs, prompt engineering, or low-code/no-code automated workflow engines to analyze unstructured text or automate routine data tasks. - Communication & Presence: Exceptional communication skills with a track record of effectively challenging senior business leaders and translating complex risk data into concise, Board-level narratives. - Education: A Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field. Preferred qualifications - Prior experience working in a heavily regulated FinTech environment, digital bank, or complex global payments processor. - Deep knowledge of GRC software architecture (e.g., ServiceNow, Archer) and how to scale system configurations. - Familiarity with international banking risk standards and regulatory expectations (e.g., COSO, ISO 31000, OCC Heightened Standards).

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 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, and 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. The Link Data Science team at Stripe is the dedicated data science and analytics partner for Link - currently with a strong product market fit in offering one-click checkout to shoppers who shop across Stripe’s merchant network, trusted by more than 300M users. The Link team has an exciting roadmap to launch consumer-friendly features to make Link the best way to spend, while continuously generating conversion uplift to our merchants. We are hiring for two data scientists dedicated to: - Local Payment Methods - We want to enable consumers across the globe to be able to pay using their preferred local payment method like UPI, PIX etc. This allows merchants to get conversion uplift from reduced friction as consumers get to pay with the payment method that is most accessible for them. In this role, you get to drive the enablement and support of more local payment methods, run analyses to surface friction points and improve the product, and be a pioneer in shaping consumer payment method preferences. - Link Consumer Team - Beyond the one-click accelerated checkout product, the Link team has also shipped a lot of value-added features for our consumers. On the Link App you can review your subscriptions, add more than one payment methods so you can choose the right payment method that maximizes your rewards on checkout without having to manually fill it up anywhere, and even an agentic AI-wallet that allows your preferred AI model to transact on your behalf without exposing your payment credentials. What you'll do 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 at 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 with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience - 3+ years in Product Analytics, Experimentation and Causal Inference - Experience designing, running, and analyzing complex experiments or leveraging causal inference designs - Proficiency in SQL and Python - Experience in working with cross-functional teams to deliver results - Ability to communicate results clearly and a focus on driving impact - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail - Strong business acumen and experience in synthesizing complex analyses into actionable recommendations - Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications - Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation - Experience deploying models in production and adjusting model thresholds to improve performance - A builder's mindset with a willingness to question assumptions and conventional wisdom - 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)

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 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 Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you'll do We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business. Data scientists on this team apply supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to some of the most consequential risk problems in global payments. 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 with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience - Experience with Fraud, Risk or Financial Crimes - Proficiency in SQL and a computing language such as Python or R - Experience in working with cross-functional teams to deliver results - Ability to communicate results clearly and a focus on driving impact - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail - Strong business acumen and experience in synthesizing complex analyses into actionable recommendations - Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications - Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, causal inference, and experimentation - Experience deploying models in production and adjusting model thresholds to improve performance - Experience designing, running, and analyzing complex experiments or leveraging causal inference designs - A builder's mindset with a willingness to question assumptions and conventional wisdom - 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)

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 Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams. What you’ll do Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that’s growing rapidly. You’ll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe’s accounting capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. Responsibilities - Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges - Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations - Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls. - Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence - Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well controlled technical solutions - Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions 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 - 10+ years of relevant experience, with at least 4+ years of experience in accounting related or adjacent roles (e.g. finance systems, process improvement) - B.A. or B.S degree in Accounting, Finance, Finance Systems or Information Systems - Fluency in U.S. GAAP - Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic - Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance - Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA - Solution and results-oriented, with a focus on delivering impact in a fast-paced environment - Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences - Experience with internal controls (design, implementation and execution) Preferred qualifications - Familiarity with the payments industry and fintech landscape

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 Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation. What you’ll do We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities - Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success - Partner with our recruiting team to attract and hire top talent - Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency - Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders - Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data - Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems - Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion - Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the 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 - This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions - A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework - An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues - Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience - Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases - Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs - Thrive with high autonomy and responsibility in an ambiguous environment - Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment Preferred qualifications - Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud - experience with all or some of these tools is a huge plus - Influencing open-source contributions - Experience creating and maintaining data marts / warehouses to power business reporting needs - Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams - Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions - Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

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 Web Presence and Platform is organized into two pillars, each of which is grouped into pods that focus on the central tenets of the Stripe public mission. The Presence pillar creates industry-leading designs for Stripe front door surfaces, educating customers about the power of our platform, sharing ideas and expertise with the public, and driving adoption. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to update. Together we design and build stripe.com and other sites that amount to what is, for many, their first impression of Stripe. As such, WPP offers exciting opportunities to have a major impact on Stripe success. We want to make every pixel count, we want it to be enthralling, and we want to help other Stripes seamlessly benefit from our systematic work. While the team's mission anchors to web surfaces, this role lives deeper in the stack. You'll be the engine behind the experiences rather than the pixel-level presentation—APIs, data pipelines, model orchestration, and service reliability that make LLM-driven user experiences possible at scale. What you'll do The Expansion pod brings creativity and executional rigor to attracting new prospects and driving conversion, focusing on user journeys, interactive and highly polished tools for users, and building targeted experiences for our global users. As a full stack engineer, you'll architect and build the server-side systems and LLM orchestration layers that power intelligent, dynamic user experiences across acquisition journeys. You'll design the APIs, data pipelines, and inference infrastructure behind delightful and original interactive tools and resources that attract users. You'll collaborate deeply across design, engineering, and cross-functional teams and work across teams and tech stacks to create new site capabilities—with a specific focus on integrating large language models into production-grade services that are reliable, performant, and safe. This is not a research or ML training role. You'll be responsible for wiring LLMs into real user-facing products—managing prompt pipelines, handling model routing and fallback logic, and implementing guardrails and output validation. Responsibilities - Develop and implement the tooling and platforms to support interactive content tools (e.g., calculators, generators, templates) that provide utility to current and prospective businesses - Utilize a user-first mindset to implement feedback mechanisms for continuous improvement of content and product offerings - Design and build integrations to third-party software and create seamless workflows across these tools to unleash their full potential to the rest of Stripe - Ensure reliability, security, and responsible AI practices across all LLM-driven features, including implementing content filtering, PII handling, rate limiting, graceful degradation, and output guardrails - Work with a small team of technically sophisticated engineers who put users first 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 backend development experience, with emphasis on building APIs and services that power user-facing experiences - Experience writing clear, elegant code in a team environment - Familiarity with LLM APIs and concepts—prompt engineering, token management, embedding models, retrieval-augmented generation, or function calling. You don't need to be a researcher, but you understand how these models work well enough to build production systems around them. - Experience building and operating distributed backend systems—you're comfortable with service-oriented architectures, async processing, caching layers, and monitoring and alerting in production - Passion for engineering solutions focused around growth hacking and enablement - Excellent verbal and written communication Preferred qualifications - Proven ability to stitch different services and processes together even if you haven't worked with them before - Experience in developing interactive tools and integrating them with existing systems - Experience building highly complex interactive tools, including state management and data fetching - Experience with data pipeline orchestration (Airflow, Dagster, Temporal, or similar) and structured output parsing from LLMs - Experience with prompt versioning, A/B testing model outputs, or building model gateway and routing layers that allow teams to swap or compare providers (e.g., OpenAI, Anthropic, open-source models) • Proficiency with React, with a focus on interactions, animation, performance, and polish • Experience with A/B testing, synthetic monitoring, or accessibility testing