Sr. Product Manager - Leading AI + Web3 L1 Infra Company
Posted on: 26/01/2026
Homebased / remote working
Permanent
IT
Responsibilities:
- Define the Vision: Establish and evangelize the product vision and roadmap for the Company’s AI Infrastructure layer, including data availability, storage, and compute primitives for AI.
- Own the Developer Journey: Deeply understand the needs of AI developers and researchers entering Web3. Design and prioritize APIs, SDKs, and tools that abstract away blockchain complexity and provide a seamless experience for building AI applications.
- Drive Ecosystem Strategy: Identify and prioritize key use cases (e.g., AI training data markets, verifiable inference, decentralized GPU compute) that will drive adoption. Partner with business development to onboard and support strategic ecosystem partners.
- Execute with Precision: Work hand-in-hand with engineering to translate product requirements into actionable technical specs. Manage the product backlog, prioritize features, and own the delivery of high-impact capabilities from conception to launch.
- Measure and Iterate: Define key success metrics for the AI Infra platform. Analyze usage data, gather developer feedback, and iterate rapidly to improve product-market fit and developer satisfaction.
- Be the Market Expert: Serve as the internal expert on AI/ML infrastructure trends, competitor landscapes, and the evolving needs of the decentralized AI community.
- 5+ years of product management experience, with a proven track record of shipping complex, technical B2B or developer-focused infrastructure products.
- Strong technical background with a solid understanding of AI/ML concepts (models, training, inference, datasets) and/or distributed systems and cloud infrastructure.
- Experience with blockchain technology, Web3, and a strong point of view on the intersection of AI and decentralization.
- Exceptional ability to articulate a clear vision, strategy, and priorities to both technical and non-technical audiences.
- Demonstrated skill in gathering and synthesizing user requirements from developers and translating them into a cohesive product plan.
- Data-driven and user-obsessed approach to decision-making and product iteration.
- Excellent communication, storytelling, and stakeholder management skills.
- Direct experience as an ML engineer, data scientist, or in building AI/ML platforms.
- Deep knowledge of the modular blockchain landscape, data availability layers, or decentralized storage solutions.
- Experience bringing a developer platform from early-stage to scale, managing technical community relationships.
- Knowledge of cryptography (e.g., zk-proofs) as it relates to verifiable AI.