Engineering Manager, AI Conversation Platform

Stripe

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

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 The Support Experience engineering teams build and improve Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand user research to continuously improve it. Providing great support to users of all sizes is culturally important to everyone at Stripe. We are a group of capable, friendly, user-oriented engineers that partner closely on this problem with Stripe’s world-class design, product, and operational teams. This includes the external-facing support interfaces (https://support.stripe.com/), content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. WHAT YOU’LL DO As a Full Stack Software Engineer on the Support Experience team, you will build engaging, responsive user interfaces that make it truly enjoyable to get help from Stripe. You will have the opportunity to scale the contact platform that connects Stripe users with the teams that are best equipped to help them. This might involve implementing new API endpoints for use across multiple products, iterating on data pipelines to maximize visibility into our support operations, or adding to our billing pipeline so that we can offer paid support plans in new regions. We're also at the center of a genuine AI inflection point. Stripe's support operation is mid-transformation — AI-driven interactions have crossed a major threshold, and 2026 is about pushing that further. Join now to help build the foundation during the most consequential period in the org's history. RESPONSIBILITIES * Build, operate, and improve support products for all of Stripe’s users, from one-person startups to Premium Support users and large enterprises. * Work side-by-side with user-facing teams to understand their needs, develop short-term and long-term solutions, and deploy those solutions across our global 24/7 support operation. * Improve the internal tools that empower our user-facing teams to build new case-solving workflows, publish dynamic, localized content to our user-facing support site, and answer every support request with the right context for any user. * Own problems from end to end, managing complexity and engaging directly with stakeholders to think through everything from business impact, to reliability and operability, to the pixel-perfection of individual support interactions. * Uphold Stripe’s high standards for engineering and product quality and mentor newer team members to do the same. 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 * You have a strong technical background, including 2-5+ years of experience building impactful products or systems at scale * Enjoy being a generalist working on both the frontend, backend, and anything it takes to solve problems and delight users both internally and externally * Write high quality code that is tested thoroughly, supported by clear documentation and has appropriate production observability * You are empathetic with users, both internal and external, and strive to create a better experience for all customers * Enjoyment in working with a diverse group of people with different expertise * Proven ability to stitch together many different services and processes together even if you have not worked with them before * Uphold best practices in engineering, security, and design PREFERRED QUALIFICATIONS * Proficient in JavaScript (React) & Ruby; language can be learned and we care much more about your general engineering skill than knowledge of a particular language or framework * Previous experience building engineering solutions focused on support

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 The Pricing Strategy team is part of the Stripe Product Marketing organization and is responsible for how Stripe prices its products. Our work is highly cross-functional and we partner closely with Product, Finance, and Sales to tackle some of the most visible and commercially impactful decisions at Stripe. We're looking for someone who blends financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve. WHAT YOU'LL DO * Be rigorous and detail-oriented. You are energized by complex, ambiguous pricing questions and are comfortable going deep in the data to find answers. * Be a storyteller. You translate complex, nuanced findings into compelling, actionable narratives that resonate with senior stakeholders and drive the organization to action. * Be a pragmatic problem-solver. You are comfortable making and defending well-reasoned judgments even when data is imperfect or incomplete, and know how to ask the right questions and find creative diagnostic approaches to move forward with confidence. * Be a collaborator. You partner effectively across Engineering, Product, Finance, and Sales to drive alignment and get things built. RESPONSIBILITIES * Drive pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about the Stripe business, and translating findings into clear recommendations that shape pricing decisions and commercial strategy * Uncover growth opportunities by analyzing pricing realization, identifying products where pricing adjustments are warranted, and understanding how factors like multi-product adoption and user churn shape the economics of our business * Accelerate the pace of pricing decisions by codifying solutions to the complex, recurring diagnostic questions that sit at the core of our pricing strategy * Improve our data and systems infrastructure by identifying gaps in how we capture and evaluate pricing outcomes, and partnering cross-functionally with Engineering, Product, and Data teams to design and implement robust, scalable 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 * Bachelor's degree in a STEM or business major (e.g., Computer Science, Math, Statistics, Engineering, Business Administration) * 5+ years of experience in data-intensive roles with a focus on translating insights into strategic business outcomes * Strong problem-solving ability, proficiency with SQL (minimum of 3 years advanced SQL), and strong understanding of data relationships * Proven ability to collaborate cross-functionally (e.g., Product, Engineering, Finance teams) * Excellent verbal and written communication skills * Ability to toggle between high-level strategy and granular system details PREFERRED QUALIFICATIONS * Master's degree in a STEM major * Domain knowledge in pricing or go-to-market  * Experience in fast-paced environments (e.g., high-growth fintech, tech, or management consulting) * Familiarity with Python, R, or similar languages for advanced data manipulation