Stripe

Stripe's Accounting team seeks an embedded technical resource to build AI-powered tools, autonomous agents, and data products that automate complex accounting workflows and provide actionable insights within a framework of financial reporting control. The role involves applying accounting and finance domain expertise to identify AI opportunities, building AI solutions, designing and deploying autonomous AI agents, shipping data products using SQL and Python, and partnering with engineering and finance teams.

Machine Learning Engineer at Stripe focused on enhancing support experiences using AI. The role involves designing, building, training, evaluating, and deploying ML models, particularly LLMs, for applications like conversational agents, personalized documentation, and automated problem-solving. The engineer will work on RAG, tool use, agentic architectures, and post-training methods, collaborating with cross-functional teams to integrate AI into support systems and products.

Stripe's Treasury Finance team is seeking an AI and Quantitative Analytics professional to build intelligent solutions and autonomous agents that enhance treasury capabilities. The role involves applying finance domain expertise to identify AI opportunities, developing AI-powered tools and models, and deploying autonomous AI agents using frameworks like LangChain and LangGraph to automate complex workflows and provide actionable insights.

Stripe's ML Infra team is seeking a Software Engineer to build and scale the ML lifecycle services, including training, serving, and LLM applications, to accelerate AI/ML adoption across the company. The role focuses on designing and implementing robust, high-availability infrastructure for production ML platforms.

Stripe is seeking a Senior Machine Learning Engineer to own the end-to-end ML and agent architecture for the Stripe Assistant. This role involves developing an intelligent assistant that leverages LLMs and agentic systems to answer queries, resolve issues, provide business insights, and anticipate user needs. Responsibilities include setting strategy for high-trust actions, delivering accurate answers, orchestrating tools and agents, grounding responses in data, driving conversation continuity, establishing evaluation and SLOs, and improving quality, latency, cost, and availability. The role also involves mentoring engineers and upholding high standards for code quality, security, and operational rigor.

Stripe is seeking a Machine Learning Engineer for their Supportability Evaluation team. This role focuses on designing, building, training, evaluating, and deploying AI/ML models and large-scale systems for detection and decisioning within Stripe's financial ecosystem. The engineer will work on scaling an LLM-based system, integrating new capabilities through agentic approaches or supervised learning, and ensuring merchant compliance in real-time.

Stripe is seeking PhD Machine Learning Engineering Interns to develop and deploy large-scale ML systems for financial infrastructure. Interns will work on end-to-end ML model development, including training and production deployment, focusing on areas like foundation models for fraud detection and user behavior prediction, and projects like the Stripe Assistant and Stripe Foundation Model.

Machine Learning Engineer focused on developing and deploying deep learning models and foundation models for Stripe's payment products, impacting core business metrics. The role involves the entire ML lifecycle, from research to production, with an emphasis on reusable architectures and scalable workflows. Requires significant industry experience in end-to-end ML development and production deployment.

Staff Engineer role focused on the technical strategy and architecture of Stripe's Identity platform, including core systems like the Identity Store, headless verification, and fraud detection infrastructure. The role involves leading 0-1 platform development for new systems, driving cross-functional alignment with ML and product teams, and setting engineering standards. Emphasis on delivering pragmatic solutions for identity verification, fraud prevention, and adversarial AI defense, with a focus on reliability, scalability, and security.

Stripe is building a new team to deploy LLM agents and tools to automate engineering workflows and accelerate engineering productivity. This role will build the next generation of internal AI coding tools and platforms.

Stripe is seeking a Design Program Manager to accelerate the integration of AI into their Design organization. This role involves partnering with designers, researchers, and engineers to build and deliver AI-assisted tooling, agents, and automations that improve designer productivity, creativity, and consistency. The goal is to fundamentally transform design workflows and enable designers to leverage AI as a default operating mode, including preparing them for agentic futures and multi-agent workflows.

Backend Engineer focused on AI Security at Stripe, responsible for building security primitives and a tooling layer within the AI inference path to protect against threats like prompt injection and jailbreaks. The role involves collaborating with AI infrastructure and product teams, and designing systems to secure AI applications.

Stripe is building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work. The FDA team exists to take what's working and systematically scale it across the entire marketing organization. Responsibilities include identifying high-leverage workflow transformations, building custom tools, agents, automations, and skills, coaching marketers through AI integration, and preparing them for an agentic future. The ideal candidate is a deep AI practitioner who has built agents and tools that transformed real work processes, is an exceptional coach and communicator, understands marketing work, and is a pattern recognizer.

Stripe is seeking an Engineering Manager for their Payment Intelligence team. This role focuses on leading a team to build ML-driven products that optimize payment conversion rates, minimize costs, and manage fraud for merchants. The manager will be responsible for end-to-end product delivery, technical mentorship, team leadership, recruiting, and contributing to engineering-wide initiatives. The role requires strong technical acumen, cross-functional collaboration, and experience managing teams that have shipped high-quality products.

Product Manager to define product strategy and lead cross-functional initiatives for internal GenAI applications, focusing on use case scoping, vendor evaluation, data readiness, and operational adoption within the fintech industry. The role also involves platformizing reporting, building reusable data models, and overseeing the development of a semantic layer for standardized metrics and self-service analytics.

Stripe is seeking a Learning Architect to design and build AI-enabled learning ecosystems for employee development. This role involves transforming high-touch programs into scalable digital solutions, architecting AI-driven coaching interfaces, optimizing data infrastructure for content surfacing, and creating tools for the People Development team. The ideal candidate has a blend of pedagogical expertise, product engineering thinking, and experience leveraging AI to scale learning.

Manager for a new team focused on accelerating Stripe's engineering productivity by deploying LLM agents and tools to automate engineering workflows. The role involves leading a senior, cross-continent team, setting product direction, and delivering user experiences for internal engineers.

This role is for a Forward Deployed AI Accelerator embedded within a marketing team at Stripe. The primary responsibility is to transform how marketers work by building custom AI tools, agents, and automations, and coaching them to become self-sufficient in using AI. The goal is to make AI the default mode for all marketing tasks and scale successful transformations across the organization.

This role involves embedding AI expertise within marketing teams to transform workflows by building custom AI tools, agents, and automations. The goal is to make AI the default mode of operation for marketers, coaching them through adoption and enabling self-sufficiency, with a focus on scaling successful transformations across the organization.

Engineering Manager for the Agent Experience team at Stripe, focusing on building infrastructure to enable AI agents to transact and scale within financial systems. The role involves leading and scaling a team of engineers, defining agentic strategy, and ensuring rapid, reliable delivery of complex back-end systems and developer tools in a regulated financial environment.

Software Engineer on the Fee Insights team at Stripe, focusing on building agentic systems for fee explainability. The role involves developing backend services, frontend experiences, data pipelines, and AI agents, with a strong emphasis on accuracy, reliability, and evaluation frameworks for complex pricing scenarios.

Stripe is seeking a Specialist Solutions Architect for their Radar (Fraud/Risk) team. This role involves acting as a domain expert to advise pre-sales teams, influence product roadmaps, and educate customers on Stripe's fraud and risk management platform. The role requires deep knowledge of the fraud ecosystem, including AI-powered detection, ML model tuning, and holistic business risk, and will involve creating reusable assets and coaching others. The candidate will partner with product and sales teams, serve as a voice of the customer, and help resolve complex technical issues.

Product Manager for Stripe Infrastructure, focusing on internal AI agents for productivity and customer experience. The role involves defining and launching AI/ML-powered products, understanding LLMs, and working with engineering teams on AI solutions.