Y Combinator 
a16z 
Sequoia 
Union Square Ventures 
Lightspeed 
Founders Fund Engineering Manager, AI Conversation Platform
Summary
Leads Stripe's newly formed Conversation Platform team in Toronto, setting technical direction for AI systems that help merchants automate tasks and use Stripe via natural language. The team builds RAG systems on LLMs and fine-tunes its own models; the manager hires, coaches, and grows ML engineers.
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
Skills
As published by greenhouse · 12 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (4)
- Who is your current or previous employer?
- What is your current or previous job title?
- What is the most recent school you attended?
- If located in the US, in what city and state do you reside?
Pick from a list (8)
- Please select the country where you currently reside.
- Please select the country or countries you anticipate working in for the role in which you are applying.
- Are you authorized to work in the location(s) you selected in your previous response?
- Will you require Stripe to sponsor you for a work permit now or in the future for the location(s) you selected in in your previous response?
- If this role offers the option to work from a remote location, do you plan to work remotely?
- Have you ever been employed by Stripe or a Stripe affiliate?
- Do you opt-in to receive WhatsApp messages from Stripe Recruiting?
- What is the most recent degree you obtained?