# Staff Software Engineer, Backend at GlossGenius

- Company: GlossGenius
- What the company does: Save time and earn more with GlossGenius. Manage scheduling, process payments, get AI tools & more, all in one system for beauty, wellness & health businesses. Backed by Bessemer and Techstars.
- Company website: https://glossgenius.com
- Type: Startups
- Level: Senior
- Location: NYC
- Work setup: Remote
- Pay: $241K to $284K base salary per year (USD)
- Posted: 2026-06-05
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/geniusai/e0eb78bf-a610-479c-bd21-2a7aba590b18
- Page: https://www.1752.vc/careers/jobs/glossgenius-staff-software-engineer-backend/

## About the role

Genius AI is building 0-to-1 AI products we expect to be a massive revenue driver, and this role sits at the center of that build. As a Staff Backend Engineer, you'll be the technical anchor for our highest-innovation teams: setting architectural direction, validating options through proof-of-concepts, and turning ambitious initiatives into clear, buildable roadmaps. This is an IC role with real leadership weight, roughly 60% architecture, planning, and technical direction, 40% hands-on building.

## What they're looking for

- 7+ years of professional engineering experience with a strong backend focus, and a track record of owning system design and architectural choices for high-scale or high-growth products
- Already building with AI as a structural part of how you work, you've integrated LLMs into production systems, used AI tooling to accelerate your development workflow, and have a sharp point of view on where AI changes what's architecturally possible
- Ship fast and course-correct, you're comfortable making architectural calls with incomplete information, iterating rapidly in production, and treating ambiguity as a feature of early-stage work, not a reason to slow down
- Deep Kotlin expertise with strong intuitions about backend architecture, service design, and performance at scale (TypeScript experience is a plus)
- Solid command of modern cloud infrastructure: AWS and Kubernetes, at the level of someone who can navigate it confidently without being a pure infra specialist
- Natural collaborator who can align PMs, designers, and engineering teams around a shared technical vision and keep execution moving without friction

Tags: Engineering