Dots logo

Customer Success Engineer (AI & Data Migration)

Dots

San Francisco, CAFull-timePosted 4mo agoStill listed 4 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Dots is hiring a Customer Success Engineer (AI & Data Migration). Stardex is seeking a Customer Success Engineer to ensure a seamless transition for executive search firms migrating from legacy platforms to their AI-native ATS and CRM. The role involves writing TypeScript/SQL scripts for data transformation and migration, utilizing AI tools to automate repetitive tasks, and communicating effectively with both technical and non-technical stakeholders. This individual will be the first in this role, defining the customer onboarding process from the ground up.

Key focus areas include Write TypeScript and SQL scripts to transform and migrate data, Utilize AI tools to automate repetitive migration tasks, and Ensure data migration accuracy with zero margin for error.

Important skills include TypeScript, SQL, Detail-Oriented, AI Tools, Claude Code, and Cursor. Preferred (not required): CRMs, ATS Platforms, API, and Data Pipeline.

Skills & qualifications

RequiredNice to have

Skills

TypeScriptSQLDetail-OrientedAI ToolsClaude CodeCursorDatabase OptimizationClear CommunicationProblem SolvingClean Maintainable CodeDocumentationCRMsATS PlatformsAPIData PipelineETL ProcessesDatabase Performance TuningIndexingQuery OptimizationCustomer-Facing Technical Work

Qualifications

Worked With CRMs or ATS PlatformsWorked at Early-Stage Startup

Full job description

Stardex is an AI-native ATS and CRM built specifically for executive search firms. We're backed by Y Combinator and are changing how recruiting firms leverage their data and institutional knowledge. Our customers are boutique and mid-market executive search firms who are moving off legacy platforms — and they need someone to make that transition seamless.

🔍 Who are you?

  • You're comfortable writing TypeScript/SQL scripts to transform, clean, and migrate messy data from one system to another
  • You're extremely detail-oriented. Data migration has zero margin for error and you take pride in getting things right.
  • You instinctively reach for AI tools (Claude Code, Cursor, etc.) to automate repetitive work rather than doing it manually. You're always looking for ways to use AI to make processes faster and more efficient.
  • You have some understanding of database optimization — you know why a poorly structured query or schema matters
  • You can communicate clearly with both technical and non-technical people when needed
  • You have a "whatever it takes" attitude. If something needs to go live by Friday, you figure it out.
  • You write clean, maintainable code and document your work so processes get better over time

✨ Bonus points if you...

  • Have worked with CRMs or ATS platforms before (or any system with messy, relational data)
  • Have experience with APIs, data pipelines, or ETL processes
  • Have hands-on experience with database performance tuning, indexing, or query optimization
  • Have done any kind of customer-facing technical work — support, consulting, freelance projects, anything
  • Have worked at an early-stage startup

🎉 Why work with us?

  • You'll be the first person in this role, which means you get to define how Stardex onboards customers from the ground up
  • You'll work directly with our founders (Sanket & Pranav) and have real ownership from day one
  • You'll learn a ton about AI, SaaS, and the recruiting industry
  • We’ll provide whatever you need to be productive

Interested? Apply here or email Sanket directly at sanket(at)stardex.ai with a short note on why this role excites you. We are open to recent grads as well for this role.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.