ML Engineer Manager, AI Conversation Platform

FDE Times; Canada; On-site; CAD 140,000 - 200,000; Full time

Job summary

Stripe is seeking an Engineering Manager for the AI Conversation Platform in Canada. The role leads ML teams building a scalable conversation platform, automating tasks and delivering production-grade ML systems.

You will work with PMs and engineers to drive features end-to-end, focusing on LLM/RAG capabilities and production readiness. You should have 4+ years managing ML teams, hands-on ML background, and a proven track record in shipping ML systems in dynamic environments.

Qualifications

• Have at least 4 years of experience managing ML teams.
• Experience as a Machine Learning Engineer or Applied Scientist or equivalent IC.
• Lead by example in high-growth, high-impact, ambiguous environments.
• Experience building and shipping ML systems.
• Maintain high quality when working with production systems.
• Thrive in a collaborative cross-functional environment.

Responsibilities

• Drive an ambitious ML/AI vision that benefits users.
• Set technical and process direction for the team aligned with business goals.
• Coordinate product integrations with partner teams.
• Propose new ideas and build prototypes.
• Be an active part of the ML community internally & externally.
• Hire and develop a world-class ML engineering team.
• Coach engineers to grow and maintain high performance.

Skills

ML leadership

ML systems

Cross-functional collaboration

Production deployment

Ambiguity handling

Tools

ML frameworks

Job description

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