NextChapter
← Search all jobs

Member of Technical Staff - Product (Backend)

Modal Labs

San Francisco, CA · $150k–$300k a year · Posted January 9, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at Modal Labs

More in California job market · Member of Technical Staff jobs in San Francisco, CA (193) · All Member of Technical Staff jobs (386) · Technology & Software · Engineering jobs

More roles at Modal Labs

Similar jobs

Where San Francisco, CA ranks

Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.

November 2026

Rankings about engineering jobs

Engineering jobs · Top Engineering employers · All rankings

Pay compared with the market

This listing pays about $225,000 a year. Across 130 open member of technical staff listings that state pay, the middle half runs $208,000 to $270,000 and the median is $240,000. That is inside the middle half of those listings, 6% below the median.

Listed pay is what employers advertise, not what people are paid.

Member of Technical Staff salaries by state · Check your own pay

How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

  • Python
  • TypeScript
  • GitHub

About the job

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 https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/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