Product Engineer, Systems Architect
Own and build complex detection, inference, state, and delivery systems for AI voice products. The role requires hands-on systems experience, strong product judgment, and the ability to measure and resolve ambiguous quality problems.
About the job
Responsibilities
- Build detection, inference, state, and delivery systems behind critical product experiences.
- Instrument difficult problems before selecting 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.
Requirements
- Experience shipping a complex system with interacting failure modes.
- Experience owning a system whose correctness was difficult to observe.
- Experience defining a quality metric whose meaning was contested.
- Strong systems thinking combined with product intuition and user empathy.
- Recent, hands-on implementation experience and the ability to follow problems across boundaries.
- Detail-oriented, first-principles approach and ownership of ambiguous outcomes.
Nice-to-haves
- Experience with signal processing, fraud, ranking, anomaly detection, or machine learning evaluation.
- Experience in audio, speech, or desktop products is helpful but not required.
Compensation
- Salary range: $180,000–$350,000.
Skills
Systems Architecture, Signal Processing, Fraud Detection, Ranking, Anomaly Detection, Machine Learning Evaluation, Inference, State Management, Quality Metrics, Systems Thinking
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