Engineering Manager, AI Conversation Platform

Stripe

Remote

Quick summary

Work type
Remote
Location
South San Francisco, CA
Salary
$258,600–$387,800 / yr
Posted
6 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $323k
$161k most similar roles pay here $412k

This role pays more than 97% of similar roles. Most pay $184,975–$246,150 — the shaded band above. At the midpoint, this role pays about $323k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 72 open roles on FindRole.

Listed pay typically runs $178,600–$268,000 across 71 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Engineering Manager, AI Conversation Platform

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As an Engineering Manager on Stripe’s newly formed Conversation Platform team, you will lead a dynamic group focused on developing AI-driven solutions to enhance user experiences and automate complex tasks. Your responsibilities include setting technical direction, coordinating with partner teams to integrate products, and mentoring engineers to ensure high-quality ML system delivery. You’ll work in an end-to-end environment from ideation through production deployment of RAG-based systems and fine-tuned models. Ideal candidates have at least four years of experience managing ML teams, a track record of building and shipping ML systems, and expertise in leading in ambiguous, fast-paced environments. Experience with LLMs and RAG systems is preferred as you help shape the future of AI-driven customer interactions at scale.

Skills

Python Java ML frameworks Docker Kubernetes CI/CD AWS LLMs RAG systems PostgreSQL Redis Scikit-learn TensorFlow PyTorch Prometheus Grafana

What you'll do

  • Drive the technical vision and set direction for AI/ML initiatives.
  • Coordinate product integrations with other teams to enhance user experience.
  • Propose innovative ideas and build prototypes for new features.
  • Hire and develop a high-performing team of ML engineers and scientists.
  • Coach engineers to foster career growth and maintain quality standards.

What we're looking for

  • At least 4 years of experience managing ML teams.
  • Proven track record leading the development and deployment of ML systems.
  • Experience building streaming feature pipelines and making backend changes.
  • Ability to lead in high-growth, ambiguous environments with a bias towards action.
  • Strong coaching skills for career growth and maintaining high standards.
  • Comfortable working collaboratively across multiple functions and teams.

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