Member of Technical Staff - Product (Backend)
Modal Labs · San Francisco
CHECKED 14H AGO
Infrastructureonsite$150k–$300k
At a glance
Highlights
- Build core infrastructure powering AI workloads for category-defining companies.
- Ship systems for low-latency inference, fine-tuning, and sandboxes at scale.
- Help define the decade by rebuilding the compute layer underneath AI.
What they offer
- Equity
Ideal candidate
Product-minded backend builder who loves shipping developer tools fast, obsesses over customer problems, and thrives on high-scale AI workloads.
Requirements
- Experience building and shipping modern web applications end-to-end
- Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics
- Deep knowledge of observability tools and patterns for large-scale workloads such as custom sandboxes, training and inference for LLM and diffusion models
- Experience with at least one of: billing/payments systems, B2B SaaS tooling, enterprise software, or LLM/diffusion model inference and training loads
- Strong product instincts; you think about customer problems, not just tickets
- Ability to participate in on-call rotation and respond to production incidents
- Ability to make good tradeoffs between shipping fast and building for scale
- Ability to work in-person in our NYC or SF office
Lab profile
About Modal Labs
Serverless cloud infrastructure for AI workloads with instant GPU compute.
What they build
- Serverless GPU cloud platform
- Python SDK
- Cloud sandboxes
Known for
- Systems engineering at scale
- ML performance optimization
- Developer-first experience