Lead a team to develop an AI conversation platform that enhances user experience for Stripe merchants.
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models.
Requirements
- Experience
- 4+ years
Joblaze summary
The ML Engineer Manager for Stripe's AI Conversation Platform will oversee the development of innovative machine learning solutions aimed at enhancing user interactions with the platform. This role requires expertise in building and deploying ML systems, particularly with large language models and retrieval-augmented generation techniques. Ideal candidates will have a strong background in managing ML teams and a proven track record in high-impact environments. The position is part of a newly formed team focused on creating a comprehensive conversation platform for Stripe's diverse merchant base.
Joblaze insights
- Listed today on Joblaze — tracked directly from Stripe's career page.
- Stripe has 521 other open roles including Account Executive, FX and Multi-Currency, Credit Risk Strategy and Analytics, Backend Engineer, Financial Connections.
- 1710 active AI/ML roles on Joblaze right now.
- 249 active Machine Learning roles on Joblaze right now.
- 92 active LLM roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this ML Engineer Manager, AI Conversation Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, AI/ML, RAG, LLM.
- What seniority level is this role?
- Stripe targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this ML Engineer Manager, AI Conversation Platform role at Stripe.
From the original posting
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