Lead AI product strategy and vision for AI-powered agents within the client’s Web3 ecosystem, aligning product direction with growth priorities and decentralized infrastructure concepts. Own end-to-end product ideation, validation, and launch of AI-native offerings, including autonomous agents and conversational experiences, taking concepts through to market readiness.
Design and deliver intuitive conversational and voice-enabled AI products using LLMs and multi-agent approaches. Partner closely with engineering and research teams to translate technical capabilities into scalable products, and guide decisions across model selection, fine-tuning, training, and inference optimization within decentralized or hybrid architectures.
Manage the full product lifecycle from discovery and prioritization through roadmap execution and iterative improvement based on user feedback and data insights, with an emphasis on product-market fit for Web3 users and related ecosystem needs such as wallet integration, tokenized incentives, decentralized identity, and community governance models. The role typically requires a strong technical background in AI/ML and deep learning, demonstrated experience building conversational and voice-based AI systems, and a track record of launching zero-to-one products; a master’s degree in a relevant technical field or equivalent practical experience is expected.