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 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.

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.

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 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.