Stripe4145 Support Products - Eng

ML Engineer Manager, AI Conversation Platform

Toronto, CanadaFull-timeMid-LevelSalary: Not disclosed
Posted Sep 4, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationToronto, Canada
Job typeFull-time
SalaryNot disclosed
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Mid-Level
Work style
Not specified
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
PaymentsMachine Learning

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Company insights

40

Happiness score

40/100

Based on 30 verified employee signals

Stripe reports 41% first-half revenue growth

Stripe told investors that first-half 2026 revenue rose 41% year over year and free cash flow increased 43%, according to an investor letter obtained by Axios.

mid-2026From the webAxios

Stripe appoints Eileen O'Mara vice chair and Tyler Bryson CRO

Stripe named former chief revenue officer Eileen O'Mara vice chair and promoted Tyler Bryson, who joined in 2025 after more than two decades at Microsoft, to chief revenue officer.

mid-2026From the webStripe Newsroom

Stripe unveils 288 products and features at Sessions 2026

Stripe's launches included Link wallets for AI agents, an expanded Agentic Commerce Suite, stablecoin-backed cards in 30 countries, and broader access to its Managed Payments product.

spring 2026From the webStripe Blog

Employee tender offer values Stripe at $159 billion

Stripe signed a tender offer backed mainly by Thrive Capital, Coatue, Andreessen Horowitz and other investors, providing employee liquidity at a $159 billion valuation.

early 2026From the webStripe Newsroom

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Set the AI/ML vision and technical direction for the Conversation Platform, prototype new ideas, and lead the end‑to‑end delivery of streaming pipelines, LLM/RAG models, and production ML systems; also hire, develop, and coach a world‑class engineering team.

What they're looking for

4+ years managing ML teams plus hands‑on experience as a Machine Learning Engineer or Applied Scientist; proven track record building and shipping ML systems, comfortable with backend changes, and able to thrive in ambiguous, cross‑functional settings.

Why this role matters

The platform will automate routine merchant tasks and enable natural‑language interactions with Stripe’s API, directly advancing Stripe’s mission to increase the internet’s GDP and delivering high‑impact AI products to millions of users.

Best suited to

Leaders who love taking initiative in fast‑moving, high‑impact environments, enjoy both strategic vision and hands‑on ML work, and excel at coaching engineers while collaborating across product and engineering teams.

Fintech requirements

Role verticals

Payments
Company vertical
Payments

Platforms & tools

Stripe
Visa sponsorship: No

About this role

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

More about this role

About company

Required skills

PaymentsMachine Learning