[Remote] Technical Product Manager QVAC (100% remote Worldwide)

Note: The job is a remote job and is open to candidates in USA. Tether.io is pioneering a global financial revolution by building innovative blockchain products. They are seeking a Senior Technical Product Manager to define and scale the product strategy for the QVAC SDK, focusing on bridging software engineering and developer experience while ensuring the successful delivery of technical products.

Responsibilities

• Define and champion the product vision for the QVAC SDK, aligning technical capabilities with Tether’s broader objectives around local AI, privacy, decentralization, and P2P infrastructure. Identify where the SDK should win across consumer app developers, enterprise AI teams, independent builders, and ecosystem partners
• Own the roadmap for SDK capabilities, APIs, developer workflows, integrations, documentation, examples, templates, and tooling. Prioritize features that make it easier for developers to build, test, deploy, and scale Local AI applications using QVAC
• Curate the end-to-end developer experience, from first install to production integration. Design, mock up, and validate DevX flows including onboarding, SDK setup, API usage, CLI behavior, debugging workflows, sample apps, documentation journeys, and error states
• Translate product goals into precise technical requirements for engineering teams. Define SDK behavior, API surfaces, platform support, model/runtime constraints, performance expectations, privacy requirements, and integration patterns
• Use coding ability to explore SDK workflows, build proof-of-concept integrations, test APIs, review examples, evaluate documentation, and create credible technical prototypes or mockups using tools such as Cursor, Claude Code, GitHub, local scripts, notebooks, or lightweight apps
• Work closely with engineering leads to make informed product decisions around SDK architecture, model execution, edge inference, performance, packaging, platform compatibility, P2P networking, and developer ergonomics. Challenge assumptions constructively and help the team balance speed, usability, reliability, and technical debt
• Develop a strong understanding of the developer tools, AI infrastructure, Local AI, edge computing, and enterprise AI markets. Identify the needs of consumer application developers, enterprise customers, AI researchers, and platform partners, and convert those insights into roadmap priorities
• Prioritize SDK capabilities based on developer demand, technical feasibility, strategic value, adoption potential, and measurable business impact. Use data, user research, competitive analysis, and direct developer feedback to guide trade-offs
• Partner with engineering, developer relations, and marketing to ensure the SDK has excellent documentation, examples, tutorials, migration guides, release notes, and launch materials. Ensure technical content is accurate, usable, and aligned with real developer workflows
• Build and own SDK launch plans in partnership with marketing, developer relations, ecosystem, and business teams. Define positioning, target developer segments, adoption motions, enterprise use cases, and partner opportunities
• Define and track SDK success metrics, including activation, time-to-first-success, API usage, integration completion, retention, developer satisfaction, documentation quality, issue resolution time, performance benchmarks, and enterprise adoption
• Communicate clearly with executives, engineers, partners, enterprise customers, and developers. Explain complex AI, SDK, and infrastructure concepts in ways that support decision-making, alignment, and adoption

Skills

• 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. The candidate does not need to be a full-time engineer today, but must be able to read code, write prototypes, test SDK flows, understand API design, and engage deeply with engineering trade-offs
• Experience with Local AI frameworks or runtimes such as llama.cpp, TensorFlow Lite, Core ML, ONNX Runtime, MLX, WebGPU, WebNN, or similar technologies
• Prior 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, including onboarding, documentation, API ergonomics, error handling, debugging workflows, examples, templates, and integration paths
• Technical understanding of AI/ML systems, especially local inference, model optimization, runtime constraints, edge computing, privacy-preserving AI, and performance trade-offs
• Ability to translate market needs and developer feedback into clear product requirements, roadmap priorities, and measurable outcomes
• Experience working closely with engineering teams on complex technical products, including architecture discussions, release planning, trade-off analysis, and technical debt management
• Ability to create mockups, wireframes, prototypes, technical diagrams, sample workflows, or code-based proofs of concept to align stakeholders and clarify product direction
• Strong understanding of consumer and enterprise software markets, including how developers evaluate, adopt, and scale SDKs or platforms
• Excellent communication skills, including the ability to explain complex technical concepts to non-technical stakeholders and business implications to technical teams
• Proven track record of shipping technical products with measurable adoption, developer satisfaction, or business impact
• Strong product judgment, prioritization skills, and bias for execution in ambiguous, fast-moving environments
• 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
• Experience with blockchain, P2P networking, decentralized systems, distributed computing, or privacy-preserving infrastructure
• Experience with SDKs across mobile, desktop, web, backend, or embedded environments
• Familiarity with TypeScript/JavaScript, Python, Swift, Kotlin, C/C++, Rust, Go, or similar languages
• Experience with enterprise developer platforms, B2B SaaS infrastructure, AI platforms, or developer-led growth motions
• Experience with API design, semantic versioning, package management, release channels, compatibility guarantees, and migration planning
• Experience conducting developer interviews, usability testing, technical workshops, hackathons, or enterprise customer discovery
• Familiarity with data privacy regulations such as GDPR and CCPA as they relate to AI products and developer platforms

Company Overview