Member of Technical Staff - Product (Backend)

Modal
New York
Workplace: OnsiteFull timeFunction: Communications, PR & CommunitySkills: ["Communication","Problem-solving","Collaboration"]

Backend-focused role building developer tools for AI workloads at Modal. You’ll ship end-to-end web apps, work across TypeScript frontend and Python services, and leverage ClickHouse for data analytics. You’ll design observability patterns for large-scale training and inference of LLMs and diffusion models, with opportunities to impact billing, B2B SaaS tooling, or enterprise workloads. In-person NYC office required.

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FursaFursa
Modal
Modal
8 months ago

Member of Technical Staff - Product (Backend)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Backend-focused role building developer tools for AI workloads at Modal. You’ll ship end-to-end web apps, work across TypeScript frontend and Python services, and leverage ClickHouse for data analytics. You’ll design observability patterns for large-scale training and inference of LLMs and diffusion models, with opportunities to impact billing, B2B SaaS tooling, or enterprise workloads. In-person NYC office required.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community

Key Responsibilities

  • •Build and ship backend features and developer tools used by AI workloads at scale.
  • •Collaborate across frontend (TypeScript) and backend (Python) to deliver end-to-end web applications with analytics support (ClickHouse).
  • •Implement and improve observability patterns for large-scale workloads including training and inference for LLMs and diffusion models.
  • •Contribute to areas like billing/payments, B2B SaaS tooling, or enterprise software through robust backend solutions.
  • •Balance shipping velocity with building for scalability while advocating for customer-centric product decisions.

Key Requirements

  • •Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building.
  • •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 used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models.
  • •Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads.
  • •Strong product instincts; you think about customer problems, not just tickets.
Experience:AISaaS
Skills:CommunicationProblem-solvingCollaboration
Tech Stack:TypeScriptPythonClickHouseObservability

Company Brief

Modal
Provides a serverless, high-performance cloud platform for AI, ML, and data workloads — offering instant autoscaling, elastic GPU access, and developer-first tooling to run inference, training, and batch jobs at scale.
Industry: Cloud Computing
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: New York City, United States
Founded: 2021
WebsiteLinkedIn