Define and champion a long-term vision for Local AI apps, aligning with company objectives, user privacy ethos, and industry trends in on-device AI to maintain a competitive edge.
Develop and manage comprehensive product roadmaps, prioritizing features and enhancements, partnering with engineering, design, and cross-functional teams for successful launches.
Engage with users, developers, and researchers to identify market opportunities, maximize value, and deliver seamless, intuitive experiences in local AI environments.
Lead the ideation, prioritization, and definition of features for Local AI apps, ensuring they leverage on-device processing for efficiency, security, and personalization.
Create comprehensive, interactive prototypes/mockups to communicate design concepts, enabling designers to refine and implement polished UX/UI.
Build relationships with executives, engineers, partners, and industry influencers to foster strategic alliances, gather feedback, and advocate for the apps.
Autonomy to build and own launch plans, collaborating with expansion and marketing teams to operationalize strategies that position the Local AI apps as valuable solutions in P2P and fintech ecosystems.
Define and monitor KPIs related to app engagement, user satisfaction, privacy compliance, and performance efficiency to ensure optimized product success.

8+ years of product management experience, with at least 3+ years managing AI-powered applications, including past work on AI based apps, preferably Local AI.
Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability.
Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding.
Expertise in feature design, prioritization, and roadmap development for AI products, with a proven track record of delivering user-focused features.
Demonstrated excellence in stakeholder communication, including presenting complex ideas clearly, negotiating priorities, and building consensus in dynamic environments.
Ability to develop comprehensive, interactive mockups using tools like Cursor or Claude Code, without necessarily knowing how to code, to bridge concepts between stakeholders and design teams.
Familiarity with agile/Scrum methodologies, product analytics tools, and user research techniques.
Proven track-record of successful product launches in AI or tech spaces.
Exceptional leadership, communication, prioritization, and team-building skills.
Degree in Business, Computer Science, Engineering, or a closely related field.
Skilled in defining, tracking, and reporting on product KPIs to measure success.

Technical Product Manager

Key skills