Posted 5 months ago
Engineering Manager, AI Conversation Platform
@ Stripe
Toronto, Ontario
Overview
Stripe is hiring an Engineering Manager for its new AI Conversation Platform team to lead ML teams building LLM and RAG systems that automate merchant tasks. The role sets technical and process direction, drives AI/ML vision, hires and coaches engineers, and ships ML systems to production. The posting requires at least 4 years managing ML teams.
Responsibilities:
- Drive AI/ML vision that benefits users
- Set technical and process direction based on business goals
- Coordinate product integrations with partner teams
- Hire and develop a high-performing ML team
Requirements summary:
- At least 4 years managing ML teams
- Experience as an ML Engineer or Applied Scientist
- Experience building and shipping ML systems
- Experience shipping LLM and RAG systems (preferred)
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-06-09
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-10-29
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Manager |
| Department | Software development |
| Management experience | 4+ years |
| Manages people | Yes |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Stripe
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Help increase the GDP of the internet.
Full company description
Stripe builds programmable financial services. 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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
- LinkedIn followers
- 1,286,676
- People associated on LinkedIn
- 14,284
- Reported office locations
- 354 Oyster Point Blvd, South San Francisco, California 94080, US
- 1 Wilton Park, Wilton Terrace, Dublin, County Dublin D02 FX04, IE
- 920 5th Ave, Seattle, Washington 98104, US
- 201 Bishopsgate, London, England EC2M 3NS, GB
- 10, Boulevard Haussmann, Paris, Ile-de-France 75009, FR
- 89 Neil Rd, Central Business District, Singapore 088894, SG
- 1-5-8 Jingumae, Tokyo, Shibuya-ku 150-0001, JP
- 515 N State St, Chicago, Illinois 60610, US
- 28 Liberty Street, New York, NY 10005, US
- Singel 542, Amsterdam, North Holland 1017, NL
- Avenida Paseo de la Reforma 296, Ciudad de Mexico, Colonia Juarez 06600, MX
- 222 Exhibition St, Melbourne, Victoria 3000, AU
- Avenida Paulista 1374, Paulínia, São Paulo 13140-000, BR
- Church Street Haridevpur, Shanthala Nagar, Ashok Nagar, Bengaluru, Karnataka 560001, IN
- Business categories
- Finance
- InsurTech
- SaaS
- FinTech
- Financial Services
- Venture Capital
- Mobile Payments
- Other recorded names
- Stripe
- Profile identifies a recruitment agency
- No
- Reported total investment
- 9,440,247,725
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Stripe builds programmable financial services. 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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 5,001-10,000 employees |
| Headquarters | South San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2010 |
| Open jobs on Jobsy | 50 |
| View page |
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
Journal
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