Product Engineering Lead, QVAC

Tether.to

. Lead the teams building QV.AC features and app experience on top of the local AI stack .

Posted 10/9/2026full-timeRemote • SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing engineering teams to deliver AI-powered consumer products, with a strong focus on technical design, API development, and performance standards. Proficient in collaborating with product managers and AI research teams to translate vision into actionable engineering tasks.

Highest-signal resume keywords

Engineering ManagementDeep JavaScript ExpertiseReact DevelopmentAI Tools UtilizationProduct Sense

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DevelopmentTechnical DesignOn-Device InferenceModel EvaluationCross-Platform Development

Soft Skills

InitiativeCuriosityResilienceDirect CritiqueExcellent Communication

Tools & Technologies

AI ToolsRapid Prototyping

Industry Keywords

Consumer ProductsAI-Powered AppsLocal ModelsFeature ReliabilityEngineering Quality

Tech Stack

Tools & technologies

JavaScriptOpen SourceReact

About the role

Key responsibilities & impact

Lead the teams building QV.AC features and app experience on top of the local AI stack
Report directly to the CTO and take direction from product
Own engineering execution, technical approach, and engineering quality
Run app and feature teams day to day by unblocking work, reviewing work, and maintaining delivery
Set and maintain high standards for performance, reliability, and clean APIs
Own technical design of features and the API surface between the AI core and app
Coordinate closely with AI research and deep tech teams on code reviews, design, models, and inference
Partner with product managers to turn vision and roadmap into scoped, buildable work
Challenge unrealistic scope and propose better approaches
Bring engineering perspective to product decisions involving local models
Use AI tools and rapid prototypes to validate ideas
Create clarity around team goals and success criteria
Mentor team leads and improve team operating systems
Lead by example, contributing hands-on when needed

Requirements

What you’ll need

Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps
Strong product sense
Intuition for applied AI and on-device constraints, including model size, latency, memory, and battery
Ability to distinguish reliable features from demos
Heavy use of AI tools and willingness to experiment with new models and capabilities
Deep JavaScript and React expertise
Initiative, curiosity, resilience, and ability to give and receive direct critique
Excellent English communication skills
Preferred: experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source

Benefits

Comp & perks

Remote work from anywhere in the world
Collaboration with a global team
Opportunity to work on innovative fintech, blockchain, and local AI products
Work with a peer-to-peer ecosystem
Professional growth through leadership and mentoring opportunities