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Open nowPosted 80 days ago

Platform Engineer, Infrastructure

Wispr Flow30 open roles

Pay
$220,000 – $350,000 a year
Where
San Francisco
Work mode
On site
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Your applicationOpen nowPlatform Engineer, InfrastructureWispr Flow · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Wispr Flow's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

9.4% of postings close within 7 days. Measured by our own scanner across the market. Wispr Flow postings stay open a median of 40 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.4%7 days
  4. 15.5%14 days
  5. 33.8%30 days
This job: posted 80 days ago

Wispr Flow median: 40 days open

The posting

ABOUT WISPR

Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards. https://wisprflow.ai/post/the-master-plan

Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.

We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.

ABOUT THE ROLE

You’ll own the backend systems that keep our products fast, available, and safe to change as Wispr scales. You’ll evolve how compute and data scale, establish consistent observability across our services, and rebuild the development workflows engineers use to test critical product experiences.

WHAT YOU’LL DO

- Decouple compute and data storage so core dictation systems can scale independently

- Build systematic observability and alerting across our FastAPI services, catching critical failures before users do

- Create isolated, end-to-end test environments for onboarding, dictation, Notetaker, and other core experiences

- Improve the redundancy and global availability of critical infrastructure

- Remove production bottlenecks at their root and give engineers faster, more trustworthy feedback loops

YOU MAY BE A FIT IF

- You’ve designed backend systems whose compute, storage, and services needed to scale independently

- You’ve built observability and alerting that teams trusted in production

- You’ve owned infrastructure, deployment, and on-call for services you personally shipped

- You’ve improved developer workflows while increasing—not trading away—correctness

- You connect infrastructure decisions to measurable customer outcomes

- You’ve evolved critical systems through startup or hyperscale growth

Prior voice, ML, model-serving, or SRE-title experience is not required.

GET TO KNOW US

- Our operating principles https://wisprflow.ai/post/our-operating-principles

- Our Series B https://wisprflow.ai/post/series-b

- Advancing HCI https://wisprflow.ai/post/advancing-hci

- Introducing Wispr Advanced Interfaces Lab https://wisprflow.ai/post/wispr-labs

LOGISTICS

We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.

We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.

We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.

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    The review screen in CV Rocket: how each CV was read, round by round.

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