Technical Product Manager, QVAC

Tether.to

Senior Technical Product Manager overseeing product strategy for the QVAC SDK at Tether. Focus on developer experience design and technical product execution for AI applications.

Posted 5/13/2026full-timeRemote • New York • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

C++Tensorflow

About the role

Key responsibilities & impact

Define and champion the product vision for the QVAC SDK
Own the roadmap for SDK capabilities, APIs, developer workflows, integrations, documentation, examples, templates, and tooling
Curate the end-to-end developer experience, from first install to production integration
Translate product goals into precise technical requirements for engineering teams
Use coding ability to explore SDK workflows, build proof-of-concept integrations, test APIs, and create credible technical prototypes
Work closely with engineering leads to make informed product decisions
Develop a strong understanding of the developer tools, AI infrastructure, Local AI, edge computing, and enterprise AI markets
Prioritize SDK capabilities based on developer demand and measurable business impact
Partner with engineering to ensure excellent documentation and technical content
Build and own SDK launch plans in partnership with marketing, developer relations, ecosystem, and business teams
Define and track SDK success metrics
Communicate clearly with executives, engineers, partners, enterprise customers, and developers.

Requirements

What you’ll need

8+ years of product management, technical product management, software engineering, developer tools, platform, SDK, API, AI infrastructure, or related experience
Strong software development background with hands-on coding ability
Experience with Local AI frameworks or runtimes such as llama.cpp, TensorFlow Lite, Core ML, ONNX Runtime, MLX, WebGPU, WebNN, or similar technologies
Experience building, managing, or launching developer-facing products such as SDKs, APIs, CLIs, frameworks, platforms, infrastructure tools, AI tooling, or technical integrations
Strong understanding of developer experience principles
Technical understanding of AI/ML systems
Ability to translate market needs and developer feedback into clear product requirements
Experience working closely with engineering teams on complex technical products
Ability to create mockups, wireframes, prototypes, technical diagrams, sample workflows, or code-based proofs of concept
Strong understanding of consumer and enterprise software markets
Excellent communication skills
Proven track record of shipping technical products with measurable adoption
Familiarity with agile development, product analytics, developer research, competitive analysis, and technical documentation processes
Degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

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Hard Skills & Tools

codingSDK developmentAPI developmentLocal AI frameworksTensorFlow LiteCore MLONNX RuntimeMLXWebGPUWebNN

Soft Skills

communicationproduct managementcollaborationproblem-solvingdeveloper experience principlestranslating market needscreating mockupscreating prototypestechnical documentationanalytical thinking

Certifications

Degree in Computer ScienceDegree in EngineeringDegree in Business