Role at a glance
- Salary
- Not Disclosed
- Location
- Canada - Toronto Canada - Canada Locations
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Have at least 4 years of experience managing ML teams
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Role Summary
The Conversation Platform team is building an AI conversation platform for Stripe merchants, including natural-language API interactions, personalized integrations, and automated issue resolution. The team develops RAG-based systems and fine-tunes models while taking products from ideas through production.
What You'll Do
- Drive an ambitious vision for AI/ML that benefits users
- Set the team’s technical and process direction based on business goals
- Brainstorm and coordinate product integrations with partner teams
- Propose new ideas and build prototypes
- Hire and develop a world-class team delivering ML systems
- Coach engineers to support their career growth and maintain a high bar
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
At least 4 years managing ML teams; experience as a Machine Learning Engineer, Applied Scientist, or equivalent individual contributor; experience leading in high-growth, high-impact, ambiguous environments; experience building and shipping ML systems; production-system quality standards; collaborative cross-functional work.
Required
- 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
- Experience in shipping LLM & RAG systems
Original job description
Content provided by the employer
Original job description
Content provided by 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
About the company
Stripe
Large Enterprise
Stripe is a leading financial technology company that provides a robust platform for online payment processing and ecommerce solutions. Founded in 2010, Stripe enables businesses of all sizes to accept payments, send payouts, and manage their online transactions seamlessly. With a focus on innovation and user experience, Stripe offers a range of APIs and tools that empower developers to integrate payment functionality quickly and efficiently. Trusted by millions of businesses worldwide, Stripe continues to shape the future of online commerce and financial services.
Stripe is a leading financial technology company that provides a robust platform for online payment processing and ecommerce solutions. Founded in 2010, Stripe enables businesses of all sizes to accept payments, send payouts, and manage their online transactions seamlessly. With a focus on innovation and user experience, Stripe offers a range of APIs and tools that empower developers to integrate payment functionality quickly and efficiently. Trusted by millions of businesses worldwide, Stripe continues to shape the future of online commerce and financial services.