Join Polaris AI and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Staff Data Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.
What You'll Do:
- Collaborate with analysts and engineers to define data models
- Drive experimentation frameworks and A/B testing infrastructure
- Build and maintain robust data pipelines and ETL workflows
- Document data assets and maintain data catalog accuracy
- Develop ML models and deploy them to production environments
- Partner with engineering to integrate data products into the platform
What We're Looking For:
- Recognized expertise that spans multiple teams or domains
- Ability to work on ambiguous problems with limited direction
- Exceptional mentorship and organizational leadership skills
- History of influencing technical or product strategy at scale
- 8+ years of experience with increasing scope and impact
What We Offer:
- Annual learning and development budget ($1,500+)
- Health, dental, and vision insurance (or stipend for international hires)
- Competitive salary with equity or performance bonuses
- Flexible hours — we trust you to manage your time
- Parental leave and family-friendly policies
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.