ML Engineer Manager, AI Conversation Platform
Stripe is hiring for the position of ML Engineer Manager, AI Conversation Platform in Toronto, Canada. It is listed as a full-time, management position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Stripe is hiring for the position of ML Engineer Manager, AI Conversation Platform in Toronto, Canada. It is listed as a full-time, management position.
Reading the advert, the employer asks for 4+ years of experience.
Skills and tools named in the text include machine learning and LLM.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Canada for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Greenhouse on Nov 4, 2026.
- Employer
- Stripe
- Location
- Toronto, Canada
- Job type
- Full-time
- Level (from the title)
- management
- Pay
- Not stated by the employer
- Experience asked
- 4+ years
- Found
- Nov 4, 2026 on Greenhouse
- Employer text
- 393 words, about 2 min to read
- Apply only on the official page (stripe.com). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 4+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (machine learning and LLM) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Toronto (ICSC post adjustment 47.9), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Temporary Foreign Worker Program (LMIA-based): Employer needs a Labour Market Impact Assessment
- International Mobility Program (LMIA-exempt): Work permits under treaties, intra-company transfers, CUSMA and others
- Express Entry (permanent residence): Points-based selection for skilled workers
About the role
Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.
01About 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.
02About 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.
03Responsibilities
- 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
04Who 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.
05Minimum 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
06Preferred qualifications
- Experience in shipping LLM & RAG systems
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