Python Engineer 2c Agentic Ai Jobs

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 In this role, you’ll join Stripe’s Vulnerability Management team, whose mission is to “Surface vulnerabilities at scale across Stripe.” Our vision is to create a culture of continuous excellence in managing vulnerabilities. The bug bounty program is an important pillar of this mission, acting as a critical line of defense in Stripe’s security “immune system.” What you’ll do We seek a highly technical and detail-oriented Security Analyst to join our team, focusing on the front lines of bug bounty triage and researcher engagement. In this role, you’ll be responsible for the end-to-end lifecycle of security vulnerability reports from our bug bounty program. You’ll own the overall effectiveness of Stripe’s bug bounty program with autonomy to implement continuous improvements (e.g., researcher campaigns, scoring transparency). You’ll play a key role in understanding the root cause of vulnerabilities, coordinating timely resolutions, and directly impacting the security posture of Stripe’s products. A core aspect of this role is developing a deep understanding of Stripe and acquired company products, assets, and their configuration to effectively assess and prioritize vulnerabilities. Responsibilities Analyze, assess, reproduce, and triage incoming s

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 mission of the People Analytics team is to improve Stripe’s performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset: our Stripes. We are a team with diverse backgrounds across consulting, HR, and data-focused disciplines who are curious, passionate, and committed to using science and data to deliver high-value, precise outputs to our users. What you’ll do This role sits at the intersection of analytics and business partnership in equal measure. You will serve as the People Analytics Analyst and Business Partner to the People Partners supporting Stripe's International organization who look after our global sites across Core, Tech, and GTM functions. As the sole People Analytics team member based in Europe, you will be the first point of contact for International stakeholders and will need to operate with confidence and autonomy in that capacity. Responsibilities Serve as the primary analytics partner and single point of contact for People Partners and senior business leaders supporting Stripe's International organization Develop and present comprehensive analyses that shape how leaders understand and act on their organizations, including ad hoc requests requiring urgency and clear communication Design, build, and maintain analytics products and self-service tooling through Visier and AI-powered solutions Lead backend Visier platform a

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 Operations Performance & Enablement Team supports the TaxJar product and broader Tax Operations teams by using data to drive better decisions and continuous improvement. We make performance visible, decisions deliberate, and improvement repeatable—acting as a force multiplier by uncovering insights early, translating signals into action, and building systems that ensure one-time fixes become repeatable capabilities. Our work enables the tax operations organization to scale with stability and confidence. What you’ll do We're looking for an Operations Insights analyst to help us understand and improve how our Tax operations scale and deliver. In this role, you'll investigate operational performance, analyze data to uncover meaningful patterns, and build reporting infrastructure that enables teams to make better decisions. You'll work at the intersection of data analysis, operations, and product insights—translating complex operational data into clear insights that drive action. This role is ideal for someone who excels at digging into robust operational data, asking "why" repeatedly, and building systems that help others find answers independently. Responsibilities Investigate operational performance: Conduct deep-dive analyses to uncover why metrics change, distinguish signal from noise, and identify root causes across filing operations, user operations, and risk workflows Partner with operations teams: Work directly with operational

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. 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 Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at Stripe, our mission is to ensure that company strate

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

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 Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous, data-informed decision-making at scale. Within this org, the Verifications and Greater China data teams deliver critical analytical and data science work—from identity verification and risk modeling to market-specific growth insights—that directly shapes Stripe's ability to serve users safely and expand into new markets. Today, the team comprises individual contributors distributed across Singapore and India, supporting two high-impact pillars. We're looking for a founding Data Science Manager based in Bengaluru to build and lead this growing regional footprint from the ground up. What you'll do This is a rare 0 → 1 leadership role with a dual mandate. Pillar 1—Direct Team Leadership • Manage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams. • Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams. • Drive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market. • Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management. Pillar 2—Regional Data Craft Lead (India Office) • Serve as the founding data craft leader for Stripe's India office. Set quality standards, es

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 Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support. What you’ll do In this role, you'll partner 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. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company. Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards—you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling. Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance Leverage AI tools (code assistants, L

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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collabor

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 me

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 Infrastructure organization builds and operates the shared platforms that make it possible for engineering teams to build, deploy, run, and scale reliable products. The organization owns foundational capabilities across service networking and discovery, safe feature and configuration changes, data storage and orchestration, and batch computing. Our platforms support a global engineering audience and power systems at significant scale. This includes the control plane for secure service-to-service communication across tens of thousands of microservices, service and feature deployment infrastructure that helps teams introduce and recover from changes safely, infrastructure for running Stripe's containerized services, and data platforms for storage, pipeline orchestration, and large-scale processing. Our batch compute platforms support technologies including Apache Airflow, Apache Spark, Apache Iceberg, Apache Hadoop, and Apache Celeborn. As an Engineering Manager, you will lead or strongly influence teams working on business-critical infrastructure with broad internal adoption. You will balance reliability, scalability, security, developer experience, and operational rigor while helping Stripe move quickly with confidence. You will partner closely with product, security, data, support, and adjacent infrastructure leaders to set direction, resolve cross-team dependencies, and turn recurring needs into durable platform capabilities. Wh

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 are building an elite team to drive financial insight and strategy at Stripe. The Finance & Strategy team brings understanding and predictability to Stripe’s financials, and we work together with our key business partners to accelerate long term growth for Stripe. What you’ll do Responsibilities Partner with F&S and Business Leaders to drive the long-term success of Stripe Work cross functionally to identify important strategy questions and answer them with data Build financial forecasts and targets, track performance, and understand deviations from actuals to drive strategy and operational rigor Gain deep knowledge and understanding of Stripe's business performance across geographies and user segments Define metrics and leading indicators of business performance and partner with the Analytics team to develop tools and dashboards to make these metrics widely accessible across 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 7–14 years of experience in a relevant analytical or finance role Intermediate (at a minimum) or advanced knowledge of SQL or Python is required - you must be well versed working with extremely large and complex datasets + extracting insights Experience with financial analysis, financial forecasting, BvA (vari

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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collabor

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 o

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 As Stripe’s user base and global footprint grow dramatically, we have distinctly unique support problems resulting from both our type of scale and the type of businesses we partner with. The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand Stripe’s portfolio of operational capabilities to support the scaled needs of external users and internal Stripe teams. At Stripe, our Mexico City office is a vibrant hub at the forefront of our mission to reshape the financial landscape for businesses worldwide. Our team prioritizes collaboration, innovation, and excellence. As a member of the Mexico City team, you'll be part of a mission-driven community dedicated to enhancing the global economy and increasing the GDP of the internet. We strive for excellence by creating with craft and beauty, while having fun and celebrating our successes together. We cultivate a culture of collaboration, inclusivity, and support where every team member’s voice matters. Our commitment shines through as we handle over a million support cases each year, empowering our users not just to solve problems but to achieve their goals. What you’ll do As an analyst on the Payments Health Operations team, you will be charged with monitoring and maintaining payments performance for Stripe’s largest users. This will include triaging, investigating, and responding to detected regressions in authentication and cost rates; providing in-depth analysis of

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. 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 Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams. You’ll play a key role in understanding, growing, and optimising our LPM business, 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, experime