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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing engineering teams to deliver AI-powered consumer products, with a strong focus on technical design, performance, and collaboration. Proficient in leveraging AI tools and frameworks to drive product innovation and team success.
Highest-signal resume keywords
Engineering Team ManagementAI-Powered Product DevelopmentJavaScript and React ExpertiseTechnical Design OwnershipExcellent English Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ToolsTechnical DesignJavaScriptReactOn-Device InferenceModel EvaluationAPI DevelopmentCross-Platform DevelopmentFeature Reliability AssessmentRapid Prototyping
Soft Skills
Product SenseCuriosityResilienceDirect CritiqueTeam Mentoring
Industry Keywords
Consumer ProductsLocal AI StackDeep TechModel SizeLatencyMemoryBattery ConstraintsCross-Team CollaborationProduct RoadmapFeature Scoping
Tech Stack
Tools & technologiesJavaScriptOpen 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 work, reviewing work, and keeping teams shipping
- Set and maintain a high engineering bar 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 implementation paths
- Bring engineering perspective to product decisions involving local model capabilities
- 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
- 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, and battery
- Ability to distinguish reliable features from demos
- 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 evals, cross-platform mobile and desktop apps, or open source
- Excellent English communication skills
Benefits
Comp & perks- Remote work from anywhere in the world
- Collaboration with a global team
- Opportunity to work on innovative fintech, blockchain, AI, and peer-to-peer technology products
- Work with cutting-edge local, on-device, privacy-preserving AI
- Opportunity to contribute to Tether’s digital finance ecosystem
