Head of Product - AI & Agent (Web3)

• Define AI product strategy integrating Web3, LLMs, and autonomous agents
• Lead zero-to-one development of conversational and voice-based intelligent produ

About Our Client

Innovative Web3 company building decentralized AI agents combining blockchain and advanced machine learning to create scalable user-owned intelligent digital ecosystems.

Job Description

1. Define AI Product Strategy & Vision
   Lead the end-to-end product vision for AI-powered agents within the Web3 ecosystem, aligning with company growth, tokenomics, and decentralized infrastructure strategy.
2. Drive Zero-to-One Product Development
   Own ideation, validation, and launch of new AI-native products (e.g., autonomous agents, conversational interfaces, decentralized AI services) from concept to market.
3. Build Conversational & Agentic AI Experiences
   Design and deliver intuitive conversational AI and voice-enabled products leveraging LLMs, NLP models, and multi-agent systems.
4. Collaborate with Engineering & Research Teams
   Partner closely with ML engineers, blockchain developers, and data scientists to translate technical capabilities (LLMs, deep learning models, inference pipelines) into scalable products.
5. Oversee AI Model Integration & Performance
   Guide decisions on model selection, fine-tuning, training, and inference optimization for AI agents within decentralized or hybrid architectures.
6. Lead Product Lifecycle & Roadmap Execution
   Manage the entire product lifecycle from discovery, prioritization, roadmap planning, execution, and iteration based on user feedback and data insights.
7. Ensure Product-Market Fit in Web3 Ecosystem
   Align product offerings with Web3 user needs, including wallet integrations, tokenized incentives, decentralized identity, and community governance models.
8. Champion Innovation & Thought Leadership
   Stay ahead of trends in AI (LLMs, agent frameworks) and Web3, driving continuous innovation and positioning the company as a leader in AI-enabled decentralized products.

The Successful Applicant

1. Educational Background
   Master's degree in Computer Science, Electrical Engineering, Mathematics, Analytics, IT, or a related technical field (or equivalent practical experience).
2. AI & Conversational Product Experience
   Proven experience building conversational AI, voice-based systems, or AI-driven user interfaces using NLP and LLM technologies.
3. Strong Technical Expertise in AI/ML
   Deep understanding of machine learning and deep learning concepts, including NLP, LLM architectures, model training, and inference optimization.
4. Zero-to-One Product Track Record
   Demonstrated success in launching innovative products from scratch, ideally in AI, Web3, or emerging technology environments.
5. Hands-on Experience with Deep Learning Systems
   Practical experience working with deep learning workflows, including model training, evaluation, deployment, or inference at scale.

What's on Offer

Growing platform with strong technology team