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A voice-interface startup is investing in developer-experience infrastructure for agentic coding tools, suggesting it expects AI agents to be heavy users of its own engineering pipeline.
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.
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.
You’ll own the systems that help Wispr engineers build, test, and ship confidently as we scale. You’ll improve CI/CD, testing environments, and local development workflows, and make agentic coding tools more effective in everyday engineering. Your work will give teams faster, more trustworthy feedback and remove friction across our client and backend codebases.
Build and operate fast, reliable CI/CD pipelines, improving build times, failure diagnostics, and release workflows
Create isolated, reproducible environments for testing onboarding, dictation, Notetaker, and other core experiences
Make local setup, testing, and debugging straightforward, with consistent behavior across development and CI
Improve the environments, context, and tooling that help coding agents make changes and verify their work
Find recurring sources of engineering friction and measure improvements in feedback time, reliability, and manual effort
You’ve built and operated developer tooling, CI/CD systems, or internal platforms at a hyper-scaling company that other engineers relied on
You’ve made complex build, test, or development workflows faster and more dependable
You debug problems across application code, infrastructure, and development environments
You use agentic coding tools deeply and have clear ideas about how to improve their effectiveness
You work closely with engineers to understand their needs and build tools they choose to use
You take ownership from identifying a problem through shipping, adoption, and ongoing reliability
Prior experience in voice, ML, or our exact toolchain is not required.
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.
wispr_flow:e3f2d9e6-f32d-4121-a51a-7c67720242d6wispr-flowThis posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
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