ML Engineer Manager, AI Conversation Platform

Stripe
Toronto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Collaboration","Bias towards action","Comfortable with ambiguity","Initiative","Coaching"]

Lead the Conversation Platform team to build an AI/ML conversation experience for Stripe merchants. Drive the vision and set technical direction tied to business goals, coordinating integrations with partner teams and building prototypes. Manage and hire a world-class team delivering production-ready ML systems, coaching engineers to grow and maintain high standards while advancing RAG-based systems and fine-tuned models.

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FursaFursa
Stripe
Stripe
2 months ago

ML Engineer Manager, AI Conversation Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead the Conversation Platform team to build an AI/ML conversation experience for Stripe merchants. Drive the vision and set technical direction tied to business goals, coordinating integrations with partner teams and building prototypes. Manage and hire a world-class team delivering production-ready ML systems, coaching engineers to grow and maintain high standards while advancing RAG-based systems and fine-tuned models.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Drive an ambitious AI/ML vision that benefits users.
  • •Set the technical and process direction for the team aligned to business goals.
  • •Coordinate product integrations with partner teams.
  • •Propose new ideas and build prototypes.
  • •Hire, develop, and coach engineers to deliver high-quality ML systems.

Key Requirements

  • •Have at least 4 years of experience managing ML teams.
  • •Experience working as a Machine Learning Engineer, Applied Scientist, or equivalent individual contributor role.
  • •Experience building and shipping ML systems.
  • •Lead in high-growth, high-impact, ambiguous environments.
  • •Maintain a high bar when working with production ML systems in a collaborative, cross-functional environment.
Experience:4+ yearsFintech
Skills:CollaborationBias towards actionComfortable with ambiguityInitiativeCoaching
Languages:English
Tech Stack:LLMLLMsRAGStreaming feature pipelines

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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