Product Engineering Lead, 100% Remote

Tether.to

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

Posted 10/9/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in leading engineering teams to develop AI-powered consumer applications, with a strong focus on performance, reliability, and clean API design. Proficient in managing product development processes and mentoring team leads to enhance operational efficiency.

Highest-signal resume keywords

Engineering ManagementAI Tools ProficiencyDeep JavaScript SkillsReact DevelopmentProduct Sense

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Engineering ManagementAI ToolsJavaScriptReactAPI DesignOn-Device InferenceCross-Platform DevelopmentModel EvaluationPrototypingPerformance Standards

Soft Skills

InitiativeCuriosityResilienceDirect CritiqueCommunication

Industry Keywords

AI-Powered AppsConsumer ProductsLocal Model CapabilitiesFeature DevelopmentProduct Roadmap

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 Tether’s local AI stack
Report directly to the CTO and take direction from product
Own how features are built and maintain the engineering bar
Run app and feature teams day to day by unblocking, reviewing, and keeping them shipping
Set 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
Bring engineering perspective to product decisions involving local model capabilities
Use AI tools and rapid prototypes to validate ideas
Clarify team goals and define success
Mentor team leads and improve team operating systems
Lead by example and provide hands-on support 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
No ML research expertise required
Heavy use of AI tools and willingness to experiment with new models and capabilities
Deep JavaScript and React skills
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 from every corner of the world
Opportunity to collaborate with global talent and fintech experts