Product Engineering Lead, QVAC

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 • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing engineering teams to deliver AI-powered consumer applications, with a strong focus on technical design, performance standards, and collaboration with product management. Proficient in JavaScript and React, with a deep understanding of applied AI and on-device constraints.

Highest-signal resume keywords

Team LeadershipJavaScript ExpertiseReact DevelopmentAI Tools ProficiencyProduct Management Collaboration

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptReactAPI DesignAI ToolsOn-Device InferenceModel EvaluationCross-Platform DevelopmentSoftware DevelopmentProduct Engineering

Soft Skills

Strong Product SenseInitiativeCuriosityResilienceCommunication

Industry Keywords

AI-Powered AppsConsumer ProductsTechnical DesignPerformance StandardsCollaborationCode ReviewsDeep-Tech Teams

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 leadership
Run app and feature teams day to day, including 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 application
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 about local model capabilities
Use AI tools and rapid prototypes to validate ideas
Clarify team goals and define success criteria
Mentor team leads and improve team operating systems and collaboration
Lead by example while enabling teams to take ownership

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, battery, and reliability
Heavy use of AI tools and enthusiasm for experimenting with new models and capabilities
Deep JavaScript and React expertise
Initiative, curiosity, resilience, and ability to give and receive direct critique
Preferred: experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source
Excellent English communication skills
Application form asks candidates to identify their experience level as 1–3, 3–6, or more than 6 years in software development and product engineering

Benefits

Comp & perks

100% remote work
Opportunity to collaborate with a global team
Work on innovative fintech, blockchain, AI, and peer-to-peer technology products
Opportunity to contribute to QV.AC, a privacy-preserving, on-device AI assistant
Professional growth through collaboration with experienced technical and product leaders