CrystalByte is a product-led company helping businesses scale their data capabilities. We hire exceptional people and give them the autonomy to do their best work. If you are a Lead Analytics Engineer who thrives in high-ownership environments, we would love to hear from you.

What You'll Do:
- Develop ML models and deploy them to production environments
- Partner with engineering to integrate data products into the platform
- Design and optimize data warehouse schemas for performance
- Collaborate with analysts and engineers to define data models
- Document data assets and maintain data catalog accuracy
- Build and maintain robust data pipelines and ETL workflows
- Drive experimentation frameworks and A/B testing infrastructure

What We're Looking For:
- Track record of defining and executing on strategic initiatives
- 7+ years of progressive experience in your field
- Strong organizational and cross-functional collaboration skills
- Experience leading and growing high-performing teams
- Deep expertise in your domain with a broad technical perspective

What We Offer:
- Annual learning and development budget ($1,500+)
- Competitive salary with equity or performance bonuses
- Home office setup stipend ($500-$1,000)
- Flexible hours — we trust you to manage your time
- Company-wide team retreats twice per year

To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.