Engineering Manager, AI Conversation Platform 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. 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’re an end‑to‑end team going from ideas to models to shipping in production. Driving an ambitious vision for AI/ML that perks our users Setting the technical & process direction for the team based on business goals 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 We are looking for ML Engineering Managers who are passionate

about us
ing 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. Have at least 4 years of experience managing ML teams Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. Have experience building & shipping ML systems. Experience in shipping LLM & RAG systems In‑office expectations Office‑assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in‑office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans;

📌 ML Engineer Manager, AI Conversation Platform (Toronto)
🏢 Stripe
📍 Toronto