Engineering Manager, AI Conversation Platform
Lead the AI Conversation Platform team at Stripe, contributing to the mission of enhancing financial infrastructure for businesses.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 1 day ago
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Engineering Manager will oversee the development and enhancement of Stripe's AI conversation platform, ensuring it meets the needs of diverse clients. Key skills include expertise in AI technologies, software engineering, and team leadership, with a focus on delivering high-quality solutions. This position is ideal for experienced professionals with a strong background in engineering management and a passion for innovative technology. Stripe's commitment to transforming financial infrastructure offers a dynamic environment for impactful work.
Joblaze insights
- Listed about 3 months ago on Joblaze — tracked directly from Stripe's career page.
- Stripe has 674 other open roles including Channel Sales Executive, SaaS Platforms, Customer Success Manager, RFA, Account Executive, Enterprise (Hunter) .
Quick facts
- What seniority level is this role?
- Stripe targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering 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