Engineering Manager, AI Conversation Platform
Stripe · 🇨🇦 Toronto, Canada
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThis employer appears on Canada’s positive-LMIA employer list. Source: Positive LMIA employer list (Employment and Social Development Canada).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
Canada: Express Entry no longer awards ranking points for job offers (since 25 Mar 2025); a job offer still counts toward Federal Skilled Worker eligibility.
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Sponsor Radar — Stripe
This employer appears on Canada’s positive-LMIA employer list. Source: Positive LMIA employer list (Employment and Social Development Canada).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Stripe →
About the role
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