ML Engineer Manager, AI Conversation Platform
Reads like a Data Leadership role: running a data team.
Toronto, Canada
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingSet the technical and process direction for the ML team based on business goals
Drive an AI/ML vision that benefits users
Brainstorm and coordinate product integrations with partner teams
Hire and develop a team to deliver high-quality ML systems
Coach engineers to grow their careers and keep a high bar
From the employer’s posting
Setting the technical & process direction for the team based on business goals
Driving an ambitious vision for AI/ML that benefits our users
Brainstorm and coordinate product integrations with partner teams
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
What you’ll bring
All qualificationsCore experience
- At least 4 years of experience managing ML teams
- Experience as an ML Engineer, Applied Scientist, or equivalent individual contributor
- Experience building and shipping ML systems
- Experience leading teams that build ML models and deploy them to production
- Holds high standards for production systems
Preferred experience
- Experience in shipping LLM & RAG systems
Qualification wording
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.
You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production
Hold yourself and others to a high bar when working with production systems.
Experience in shipping LLM & RAG systems
About Stripe
Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this listing 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 9, 2026 · 108 days ago
- Recorded sightings
- 217
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on stripe.com. The employer’s form will show what is required.
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Job description
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
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, Canada
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- Work authorization
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