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Posted 4 months ago

ML Engineer Manager, AI Conversation Platform

@ Stripe

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Toronto, Ontario

4+ years experience
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SIGNALS

Overview

Stripe is hiring an Engineering Manager for its new AI Conversation Platform team, which builds conversational AI for merchants on Stripe. The role leads ML engineers through the full cycle from ideas and models to production, including LLM and RAG systems. The posting states a minimum of 4 years managing ML teams and experience shipping ML systems.

Responsibilities:

  • Drive the AI/ML vision for user-facing products
  • Set technical and process direction based on business goals
  • Coordinate product integrations with partner teams
  • Hire, develop and coach a team of ML engineers

Requirements summary:

  • At least 4 years managing ML teams
  • Prior experience as an ML engineer or applied scientist
  • Experience building and shipping ML systems
  • Experience with LLM and RAG systems is preferred

Tools & skills

MLMachine learning
Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2026-07-07
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

SeniorityManager
DepartmentSoftware development
Management experience4+ years
Manages peopleYes
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high

Summary and details written by AI from the posting; the employer’s posting is the authority.

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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.

View all jobs Website

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.

FieldValue
IndustryTechnology, Information and Internet
Company size5,001-10,000 employees
HeadquartersSouth San Francisco, California
Organization typePrivately Held
Year founded2010
Open jobs on Jobsy49
LinkedInView page
Job description

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

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