Technical Product Manager QVAC - Local AI Applications
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 8+ years of product management experience, including at least 3+ years working on AI-powered applications
- Required Skills
- AgileBlockchainSCRUMProduct Analytics
Requirements
- 8+ years of product management experience
- 3+ years working on AI-powered applications
- Strong understanding of AI/ML concepts (on-device inference, edge computing, model optimization, privacy-preserving systems)
- Proven ability to define and execute product roadmaps for complex technical products
- Experience working closely with engineering teams in highly technical environments
- Strong capability in feature design, prioritization, and translating user needs into product solutions
- Ability to create interactive mockups or prototypes using modern product/design tools
- Excellent communication and stakeholder management skills
- Familiarity with agile/Scrum methodologies
- Familiarity with product analytics tools
- Strong analytical mindset with experience in defining and tracking KPIs
- Bachelor’s degree in Business, Computer Science, Engineering, or related field
- Bonus: experience with local AI frameworks (TensorFlow Lite, Core ML, ONNX)
- Bonus: experience with blockchain or P2P systems
- Bonus: experience with UX/UI best practices
- Bonus: experience with data privacy regulations (GDPR/CCPA)
Responsibilities
- Define and lead the product vision and strategy for Local AI applications, ensuring alignment with broader business and technological objectives.
- Own the end-to-end product lifecycle, including roadmap development, prioritization, delivery, and post-launch optimization.
- Collaborate closely with engineering, design, and cross-functional teams to build scalable, high-performance AI-powered applications.
- Translate complex AI and edge computing capabilities into intuitive, user-centric product experiences.
- Develop wireframes, prototypes, and product specifications to communicate vision and align stakeholders.
- Engage with users, developers, and internal teams to identify opportunities and refine product direction.
- Define and track KPIs related to performance, engagement, privacy, and product success.
- Drive go-to-market strategy in collaboration with marketing and expansion teams.
- Manage stakeholder relationships, ensuring alignment across technical, product, and executive teams.
- Continuously evaluate product performance and iterate based on data-driven insights.
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