ML Engineer Manager, AI Conversation Platform
Stripe Open · verified Oct 22, 2026 At a glance
Manager-level Machine Learning Engineering role at Stripe. Toronto · no salary stated · we estimate CA$133,650–CA$197,920.
Stripe has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the team’s technical approach and working practices around its business goals
- Shape AI and machine learning plans that improve the product for users
- Coordinate product connections with partner teams and turn promising ideas into prototypes
- Guide engineers’ development while hiring and building a team that ships dependable ML systems
- Contribute to the wider machine learning community inside and outside the organization
What you bring
- At least four years managing teams focused on machine learning
- Prior work as an ML engineer, applied scientist or in a comparable individual-contributor role
- Experience creating and launching ML systems, including streaming feature pipelines and production models
Who this fits
This role suits an experienced ML people manager who can lead through ambiguity, take initiative and work closely across teams. You’ll lead and coach engineers, while staying engaged with the technical work of delivering machine learning systems.
From the employer
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