Cto Jobs in Web3
171 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Moonsong Labs | London, United Kingdom | $140k - $161k | |||
Web3ink | Remote | $100k - $160k | |||
Lendr.fi | Remote | $150k - $350k | |||
Deep Venture DAO | San Francisco, CA, United States | $11k - $62k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Sarmad | Riyadh, Saudi Arabia | $72k - $90k | |||
Baby Doge | Remote |
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Parity | Remote | $86k - $90k | |||
Parity | Remote | $140k - $180k | |||
Hyphenconnect | Remote | $86k - $150k | |||
robusta | Dubai, United Arab Emirates | $63k - $150k | |||
Abstract Inceptions | United States | $63k - $120k | |||
Web3 Recruit | Remote | $220k - $260k | |||
Polygon Labs | United States | $45k - $72k | |||
bemo | Remote | $86k - $90k | |||
AlphaX | Remote | $130k - $260k |
CTO - Entourage
Your role as CTO and co-founder:
- Defining and refining technical vision, end-to-end architectures spanning AI, services, infrastructure, and data architectures, roadmaps, and key decisions on technology stacks, integrations, scalability, and security.
- Recruiting, hiring, mentoring, and managing a world-class AI development team.
- Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem.
- Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development.
- Collaborating closely with the CEO, COO, Product, Biz Dev, and stakeholders to shape the platform's evolution.
- Supporting initial customer acquisition and investor conversations by articulating our unique technical approach and market vision.
- Helping build a vibrant developer community around dynamic action discovery and agent collaboration.
- Evangelising our vision and technology at conferences/events and establishing thought leadership in the agent infrastructure space.
Required Skills and Experience:
- Experience as CTO, VP of Engineering, Tech Lead or AI scientist in a company developing AI infrastructure.Â
- Proven ability to build and manage multidisciplinary teams delivering complex software platforms and AI-native products.
- Deep knowledge of Generative AI, Deep Learning, Reinforcement Learning, and wider Machine Learning:
- Generative AI paradigms (including agentic architectures, model architectures, model training, model fine-tuning, and evaluation), end-to-end MLOps, and ML/DL/RL fundamentals.
- Experience with ML frameworks (PyTorch), MLOps frameworks, and AI infrastructure.
- Familiarity with agentic architectures and agent frameworks:
- Autonomous agent architectures, model-based workflows, and tool integration.
- Frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Smolagent.
- Knowledge of Web3 & tokenomics, Ethereum, and Solana (beneficial but not required).
- A vision for agent infrastructure which enables network effects and collective intelligence at scale.
- Hands-on coding experience in Python and TypeScript; Rust experience a plus.
- Demonstrable strategic thinking about platform adoption and scalable developer ecosystems.
- Strong communication and writing skills to present technical concepts clearly to diverse audiences. A portfolio of technical content is beneficial.
- Excellent attention to detail, capable of performing well under pressure and dealing with both technical and non-technical complexity.
- A postgraduate degree (Masters or a PhD (strongly preferred)) in a STEM subject.
What is CTO mean in English?
Chief Technical Officer (CTO) is a senior executive responsible for the overall technical direction and management of an organization
In the context of Web3, the CTO would be responsible for guiding the development and implementation of technology related to the decentralized web, also known as the 'Web3 stack'
This could include technologies such as blockchain, decentralized storage, and decentralized computation
The CTO would work closely with the rest of the management team to ensure that the organization's technical strategy aligns with its business goals and objectives.