Product Engineer, Systems Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-12). Last seen at its source 3h ago.
Is it remote?
Remote (US)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2164 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Carried by 1 source
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ashby employer's own board first seen 3d ago · last seen 3h ago
The listing
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.
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 hard systems at the center of our product surface, across existing products, new launches, or feature-specific initiatives. You’ll make ambiguous quality problems measurable, solve them at their root, and build approaches the team can reuse.
What you'll do
Build the detection, inference, state, and delivery systems behind critical experiences
Instrument difficult problems before choosing a solution
Establish evidence of correctness when ground truth is unavailable
Make principled tradeoffs across imperfect signals, edge cases, and user impact
Turn persistent quality problems into comprehensible, repeatable systems
Partner with product and platform teams to determine where systems should live
You may be a fit if
You’ve shipped a complex system with interacting failure modes
You’ve owned a system whose correctness was difficult to observe
You’ve defined a quality metric whose meaning was itself contested
You combine systems thinking with product intuition and user empathy
You’re a recent, hands-on implementer who follows problems across boundaries
You are detail-oriented, think from first principles, and own ambiguous outcomes
Experience with signal processing, fraud, ranking, anomaly detection, or ML evaluation may translate well. Prior experience in audio, speech, desktop, or any particular product domain is not required.
Get to know us
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.