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Clera

Founding Product Engineer

San FranciscoFrom $200kfulltimemidAdded today

About this role

Founding-level product engineer needed to own end-to-end development of an AI-powered ambient intelligence platform spanning mobile, wearable, and desktop. You'll ship features independently, make trade-offs across UX/UI/backend/ML, and iterate rapidly on user feedback alongside the Head of Product.

What you'll do

  • Own full-stack features across mobile, wearable, desktop, and AI agent/ASR pipelines
  • Ship products from lightweight briefs with minimal specification and independent decision-making
  • Optimize ASR latency, accuracy, wearable reliability, and agent responsiveness
  • Drive features from design through launch and user feedback iteration
  • Make independent trade-off decisions between UX, UI, backend, and AI/ML components
  • Partner with Product and Design to prioritize and execute the roadmap

What they're looking for

  • Full-stack product development (frontend, backend, mobile, wearable)
  • iOS and/or watchOS development
  • Real-time and low-latency system design
  • Speech recognition and audio pipeline experience
  • AI/ML and LLM integration in consumer products
  • Cross-platform development and debugging
  • Product sense and independent decision-making
  • Agentic workflow implementation

Benefits

  • Founding-level equity and impact
  • Hybrid work in San Francisco
  • Direct collaboration with Head of Product and Design
  • Opportunity to shape core product strategy and architecture
  • Work on cutting-edge AI consumer technology
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a consumer feature you shipped end-to-end—what were the key trade-offs you made between UX, performance, and implementation complexity?
  • Tell us about your experience with real-time or low-latency systems. What latency constraints did you face and how did you address them?
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