# Member of Technical Staff - Product (Backend) at Modal

> Onsite · United States · Staff · Backend · open. Source: https://alderhq.app/jobs/ashby%3Amodal%3Aa4b8b2b6-5d0c-4ba6-9256-b84be84fb79e (read 2026-11-06).

## Facts (observed)

- Company: [Modal](https://alderhq.app/companies/modal)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-01-09 (301 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/modal/a4b8b2b6-5d0c-4ba6-9256-b84be84fb79e
- Skills listed (inferred): TypeScript, Python, Docker, LLMs

## Pay and sponsorship

- Posted pay: $150k–$300k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 79): p25 $223k, median $245k, p75 $260k
- H-1B filings at this company for similar roles, FY26: 5, median offered wage $200k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's 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.

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 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.

### You May Be a Fit If

You’ve built and shipped modern web applications end-to-end

You’re comfortable working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics

You have deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes and training and inference for large language models (LLMs) and diffusion models

You have experience with at least one of the following: billing/payments systems, B2B SaaS tooling, enterprise software, or LLM/diffusion model inference and training workloads

You have strong product instincts and think about customer problems, not just tickets

You’re able to participate in our on-call rotation and respond to production incidents

You make good tradeoffs between shipping fast and building for scale

You’re able to work in person in our NYC or SF office

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Amodal%3Aa4b8b2b6-5d0c-4ba6-9256-b84be84fb79e and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.