Sobre esta vaga de Product Engineer, Systems Architect na Wispr Flow
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.
