Product Engineer, Systems Architect
Wispr Flow · San Francisco
Extracted from the posting
Owns hard systems behind Wispr's product surface, including detection, inference, state, and delivery systems for critical experiences. Makes ambiguous quality problems measurable and builds reusable approaches for the team. Works with product and platform teams on where systems should live. Wispr is an AI research and product company building a voice interface for computing.
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.
Compensation: $220K - $350K
