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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 Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work. Minimum requirements 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role Experience leading engineering team(s) working on Distributed systems, API design, and user facing products Proven track record of delivering pragmatic solutions that accelerate business growth Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally. Preferred qualifications Experience with payments systems and/or fraud detection Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo. Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by: High urgency—Shipping very small iterations, very fast, to learn very quickly. Product taste—Our customers are developers, and to build effective products for them requires technical knowledge —you will often be "the PM". Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low-latency APIs, and blockchain abstractions that are accessible to mainstream developers. At Privy, our Forward Deployed Engineers work on the company’s most important customer problems. They partner closely with customers to architect our most complex integrations and build new product features that close the gap to win deals. What you’ll do We’re looking for an Engineering Manager to lead this team as it continues to grow. You’ll be responsible for helping an outstanding group of Forward Deployed Engineers do the best work of their careers while staying laser-focused on helping Privy and its customers win. This is a high-leverage role at the intersection of customers, product development, and engineering. You’ll help the team stay focused on the highest-value work, raise the bar on execution, and help turn customer signal into new products and features. As the manager of this team, you own its overall impact. Great management is a core part of how Privy wins: our managers are force multipliers, performance coaches, and culture carriers who help exceptional people do exceptional work. Own team outcomes and business impact for Forward Deployed Engineering Coach and develop engineers across technical depth, customer empathy, and ownership Hold the team accountable to excellence in quality, throughput, and performance Ensure the team is focused on the right problems and highest-leverage opportunities Partner closely with Product, Solutions Engineering, and GTM Stay close to the work—review PRs, help scope technical work, review design docs, and jump in on complex problems Build a strong team culture grounded in trust, rigor, and urgency Strengthen the feedback loop between customer signal and product roadmap Who you are Strong ownership and a track record of driving outstanding business impact Excellent people management skills and experience growing high-performing engineers Strong technical judgment and the ability to evaluate architecture and tradeoffs A customer-first mindset and comfort translating ambiguous needs into clear technical direction High emotional maturity and strong communication Experience managing in a fast-moving, high-expectation environment

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 processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. Responsibilities Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. 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 professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. Strong product instincts and a deep understanding of the business context in which you operate. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. Hands-on experience using AI tools to accelerate how you work. Preferred qualifications Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. Experience rapidly developing prototypes and iterating based on user feedback. Experience training and shipping machine learning models to production to solve critical business problems. Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). Ability to synthesize ideas across the organization while setting a compelling technical vision. Comfortable working with geographically distributed teams. Passion for side projects, open source, or self-driven technical initiatives.

Engineering Manager, AI Conversation Platform 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements Have at least 4 years of experience managing ML teams Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. Lead by example in high-growth, high-impact, ambiguous environments Have experience building & shipping ML systems. Hold yourself and others to a high bar when working with production systems. Thrive in a collaborative cross-functional environment Preferred qualifications Experience in shipping LLM & RAG systems

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do You’ll lead Privy’s Wallet Platform team, a product-minded platform group building the primitives and developer-facing surfaces behind Privy’s wallet product that helps our users transact more than $18B monthly. The team works on everything ranging from deep wallet infrastructure like AWS Nitro Enclaves, to developer APIs, webhooks, and secure transaction submission. You’ll balance new capabilities with targeted reliability and scale work, setting technical direction while keeping the team close to the developer and customer experience. This is a hands-on, TLM-shaped engineering management role. You’ll grow a small team, stay close to architecture and execution, and help Privy make sound platform investments as the product scales. Set the technical direction for the platform capabilities that underpin Privy’s wallet product. Drive four nines uptime and own the reliability, performance, usability, and evolution of Privy’s wallet system Work directly with Product, Security, and other engineering teams to define durable interfaces and turn platform needs into clear roadmaps. Build and ship systems in weeks that will last years Stay close to the work by reviewing pull requests and design documents, helping scope technical initiatives, and stepping into complex technical problems. Build a team culture that values technical rigor, ownership, urgency, and thoughtful operational practice. Be a thoughtful people leader shaping careers, coaching your team and those around you, and learning from others invested in your success. Who you are You have strong ownership and care deeply about business impact. You have a performance-oriented mindset and a high bar for quality and excellence. You have deep backend or platform experience and can independently evaluate architecture, systems tradeoffs, and technical feedback. You understand that a platform is a product. You can connect decisions about interfaces, reliability, performance, and migrations to developer, customer, and business outcomes. You can set technical direction for a platform that must serve multiple product needs, while maintaining clear boundaries and a durable architecture. You have experience leading and developing engineers, and understand that strong management requires active practice. You stay close to architecture and execution, including design reviews, code review, and complex technical decisions. You’re comfortable working through ambiguity and balancing long-term platform foundations with immediate product needs. Experience with wallet, custody, signing, crypto infrastructure, or consequential platform decision-making is a plus.

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 Global Payments Experiences group is an organization focused on bringing new and novel payment methods to Stripe, and ensuring Stripe's systems work well for merchants globally. This team works with internal and external partners to expand regional, non-card payment options, and to expand the use of Stripe's payments processing globally. What you'll do This is a São Paulo-based team, with platform teams in the US and Europe and sister teams worldwide. This team in particular will build and maintain new payment methods for Stripe, with a focus on LATAM and North America. They will manage local market idiosyncrasies, become regional experts that other Stripe teams will rely on, and partner with many non-tech functions at Stripe to expand our global reach and product portfolio. Responsibilities Design and reason about integration experiences with a strong focus on end-user simplicity and developer experience Build back-end services and integrations across Stripe's payments product Engage and interact with external partners to determine and build technical solutions Engage directly with users to understand their business needs and translate requirements into concrete solutions Collaborate with cross-functional teams including product, partnerships, eng platforms, and other engineering teams to deliver these solutions Contribute to software platforms used across payments 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 5+ years of full stack engineering experience Strong command of verbal and written English language Experience working across geographies Experience building extensible, leveraged software solutions that scale to different kinds of user needs, with the ability to empathize with users and advocate for exceptional user experiences Preferred qualifications Previous experience working in payments and on payments technology Previous experience using Stripe products

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 Global Payments Experiences group is an organization focused on bringing new and novel payment methods to Stripe, and ensuring Stripe’s systems work well for merchants globally. This team works with internal and external partners to expand regional, non-card payment options, and to expand the use of Stripe’s payments processing globally. What you’ll do This is a Sao Paulo-based team, with platform teams in the US and Europe and sister teams worldwide. This team in particular will build and maintain new payment methods for Stripe, with a focus on LATAM and North America. They will manage local market idiosyncrasies, become regional experts that other Stripe teams will rely on, and partner with many non-tech functions at Stripe to expand our global reach and product portfolio. Responsibilities Design and reason about integration experiences with a strong focus on end-user simplicity and developer experience Build back-end services and integrations across solutions across Stripe’s payments product Engage and interact with external partners to determine and build technical solutions Engage directly with users to understand their business needs and translate requirements into concrete solutions Collaborate with cross-functional teams including product, partnerships, eng platforms, and other engineering teams to deliver these solutions Contribute to software platforms used across payments 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 2+ years of backend engineering experience Strong command of verbal and written English language Experience working across geographies Experience building extensible, leveraged software solutions that scale to different kinds of user needs, with the ability to empathize with users and advocate for exceptional user experiences Preferred qualifications Previous experiences working in payments and on payments technology Previous experience using Stripe products

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