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Tether.to

Product Engineering Lead, 100% Remote

Tether.to

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

Posted 10/9/2026full-timeRemote • IrelandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong engineering leadership and product partnership, with expertise in managing teams that develop AI-powered consumer applications. Proficient in JavaScript and React, with a solid understanding of applied AI, local-model capabilities, and performance optimization.

Highest-signal resume keywords
Engineering LeadershipJavaScript ProficiencyReact ExpertiseAI Tools UtilizationProduct Management Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaScriptReactAPI DesignAI ToolsOn-Device InferenceModel EvaluationCross-Platform DevelopmentPerformance OptimizationFeature DeliveryTechnical Design
Soft Skills
Strong Product SenseCuriosityResilienceDirect CritiqueTeam Mentoring
Industry Keywords
AI-Powered AppsConsumer ProductsLocal-Model CapabilitiesDeep TechCode Reviews

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
  • Run app and feature teams day to day by unblocking, reviewing, and maintaining delivery momentum
  • Set and maintain high engineering standards for performance, reliability, and clean APIs
  • Own technical design of features and the API surface between the AI core and app
  • Coordinate 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 implementation paths
  • Advise product decisions on local-model capabilities and limitations
  • 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 and cross-team collaboration
  • Balance approximately 70% engineering leadership with 30% product partnership

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
  • Ability to use AI tools heavily and experiment with new models and capabilities
  • Deep JavaScript and React knowledge
  • Initiative, curiosity, resilience, and ability to give and receive direct critique
  • Preferred: experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
  • Excellent English communication skills

Benefits

Comp & perks
  • Remote work
  • Collaboration with a global team
  • Opportunity to work on innovative fintech, blockchain, and privacy-preserving AI products
  • Opportunity to work with cutting-edge local, on-device AI technology
  • Professional growth through mentoring and leadership responsibilities