ApplySarthiEngineering Manager, AI Conversation Platform
Stripe
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
12 open conversation roles across 9 companies are on ApplySarthi right now.
- UX Conversation Designer, Vice PresidentJPMorgan
- Conversation Experience DesignerWonderful
- Principal Product Manager - Conversation AIGohighlevel
- Senior Conversation Designer, Devices & Services Design GroupAmazon.com Services LLC
- Senior Conversation UX Designer, Alexa for ShoppingAmazon UK Services Ltd.
What conversation roles keep asking for: LLMs (67%), Machine learning (25%), NLP (25%), CRM (17%), Figma (17%), RAG (17%) — counted across their open postings here.
Engineering Manager jobs in Canada · Engineering Manager jobs in Toronto · Remote Engineering Manager jobs · LLMs jobs · Machine learning jobs · RAG jobs
Stripe has 702 open roles listed here.
- Head of Sales, Indiabengaluru
- Legal Operations Team Leadbengaluru
- Partner Solutions Engineer, Ecosystem
- Offensive Security Engineer
- Account Executive, Product - Local Payment Methods
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for conversation roles keep coming back to LLMs, Machine learning, NLP, CRM. Practise those questions before you sit with Stripe.
Questions you are likely to be asked
- Why do you want to join Stripe?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Engineering Manager, AI Conversation Platform at Stripe interview free →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
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Account Executive, Enterprise (Grower) Stripe
- Account Executive, Enterprise (Grower) Stripe
- Account Executive, Existing Business (Central Eastern Europe)Stripe
- Account Executive, Hunter (Central Eastern Europe)Stripe
- Account Executive, Product Sales - Stablecoin IssuingStripe
- Accounts Receivable ManagerStripe · bengaluru
- AEO and GEO Marketing ManagerStripe
- ARG Engineering ManagerStripe
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-06-09. ApplySarthi collects openings and links to application pages; the role is advertised by Stripe, not by us.