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Modal

Member of Technical Staff - Product (Backend)

San Francisco
Salary
$150K - $300K
Level
Staff
Work type
On-site · San Francisco

Not stated in the posting: visa.

Open. First seen 14 March 2026.

Apply on the company's site →

About the role

Modal's standard text

About Us:
AI needs a new infrastructure layer. We're building it at Modal.

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.

We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.

Modal's standard text

Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

We're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day.

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.
  • 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.

What this role asks for

Particular to this role

ClickHouse · TypeScript

Rare in Modal's other 28 open postings.

Standard for backend roles

Python

Common in backend postings at any company.

In most of Modal's ads

Seaborn

Named in most of its open postings, whatever the role.

61% of this description is written for the role. The rest is Modal's standard text, folded away below.

Read against Modal's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 24 open in Engineering. 7 were posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Seaborn (24 of 24), Linux (11 of 24), Linux Kernel (10 of 24), Serverless (8 of 24), LLM (7 of 24), Rust (7 of 24), Golang (4 of 24)

OTHER ROLES ON THIS TEAM

From the team and dates on Modal's own job board.

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