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Member of Technical Staff - Product (Backend)

Modal Labs · San Francisco

CHECKED 14H AGO

Infrastructureonsite$150k–$300k
Apply on the lab’s site ↗

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
More about Modal Labs →
Apply on the lab’s site ↗