Remote Product Engineering Lead – On-Device AI

Tether; Lisboa; Remote; EUR 90,000 - 150,000; Full time

Job summary

Tether is seeking a Product Engineering Lead to translate direction into features for QV.AC’s on-device AI stack. You will lead the teams building QV.AC’s features and app experience, reporting directly to the CTO and collaborating with product.

The split is roughly 70% engineering leadership and 30% product. You bring experience shipping consumer AI-powered apps, strong product sense, and fluency with JavaScript and React.

Qualifications

• Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps.
• Strong product sense to distinguish good features from busy ones.
• Intuition for applied AI and on-device constraints (model size, latency, memory, battery).
• Ability to use AI tools heavily and experiment with new models.
• Proficiency in JavaScript and React.
• Initiative, curiosity, resilience, and ability to give and receive direct critique.
• Bonus: experience with local on-device inference, LLM evals, cross-platform apps, or open source.

Responsibilities

• Engineering: run the app and feature teams, unblock work, maintain high engineering standards.
• Product Partnership: translate vision into scoped, buildable work; align scope with reality.
• Leadership: clarify goals, mentor leads, and model hands-on leadership.

Skills

Engineering leadership

Strong product sense

AI on-device constraints

AI tools usage

JavaScript and React

Initiative and critique

Tools

Local on-device inference

LLM evals

Cross-platform apps

Open source

Job description

Tether is seeking a Product Engineering Lead to translate direction into features for QV.AC’s on-device AI stack. You will lead the teams building QV.AC’s features and app experience, reporting directly to the CTO and collaborating with product.

The split is roughly 70% engineering leadership and 30% product. You bring experience shipping consumer AI-powered apps, strong product sense, and fluency with JavaScript and React.