> Markdown version of [/jobs/ext/4259906-product-engineer-systems-architect](https://www.wearedevelopers.com/jobs/ext/4259906-product-engineer-systems-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Engineer, Systems Architect - **Company:** Wispr Flow - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Design of User Interfaces, Human-Computer Interaction, Signal Processing, Systems Architecture - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/product-engineer-systems-architect-san-francisco-ca--65ce9999-c87c-4e73-a47c-5747135b0416 ## About the Role Product Engineering, System Architecture, Systems Engineering, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Problem Solving Skills, Testing, Quality Metrics, Product/Service Launch, Team Building, * 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. ## Description 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., * 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