Our client is building the first programmable-bandwidth supernetwork - an infrastructure that transforms millions of users’ idle internet connections into real-time, multimodal data streams (text, video, audio) for AI systems and enterprise use cases. Every day, users become nodes in a decentralized network that leverages their bandwidth to fetch public web data at massive scale.

You have:

• 15+ years of experience in engineering, with 3+ years in high-impact roles (CTO, founder, or senior tech lead) in high-caliber infra startups or infra-driven orgs
•  Shipped and scaled infra-heavy systems used by hundreds of thousands (ideally millions) of users or devices
•  Mastery of systems design, distributed architectures, and data pipelines.
•  Deep understanding of modern cloud infra, storage, DevOps, and unit economics at scale
•  A track record of hiring, growing, and leading senior technical teams
•  Strong technical judgment: can move fast and think outside the box to find solutions
• Comfortable representing tech in VC calls, investor Q&As, and technical public speaking
• Bonus: Familiarity or experience with AI infra, Web3 primitives, residential IP networks, proxy companies, or DePIN

Key Responsibilities

 Vision & Tech Strategy:
• Set a unified roadmap (infra, data, scalability) that tracks directly to the business vision and Hub’s evolving B2B Demand Pipeline.
• Spot paradigm shifts, AI, data at scale, DePIN, programmable bandwidth, and spin up PoCs when needed, then turn proven bets into production-ready, at-scale solutions.
• Select and manage technology partners (cloud, GPU hardware, open-source Web3) to maximise efficiency and control cost.

Scalable Architecture & Infrastructure:
• Design and document an ultra-robust, massively-scalable network & infrastructure capable of moving from zero to millions of devices while maintaining high availability, resilience and B2B-driven scraping capacity.
• Oversee a petabyte-scale data pipeline: ingest, store and deliver both real-time and batch feeds with best-in-class unit economics.
• Lay the operational foundation, monitoring, observability and automated deployments, to support friction-free growth.
• Define the cloud / hybrid strategy in line with cost and regulatory constraints, and approve stack & pattern choices (languages, micro-services, databases, caches…).

Governance & Org Tech:
• Hire, inspire and grow a multi-disciplinary team (backend, data, DevOps, etc).
• Maintain Lean/Agile rituals, clear KPIs, OKRs, and a disciplined, predictable delivery culture.
• Industrialise the SDLC (CI/CD, automated tests, quality gates) and own production KPIs (SLO, MTTR).
• Steer budget, total cost of ownership and up-skilling in lock-step with the roadmap.

Data Products, R&D & Market Feedback:
• Translate customer needs into precise technical requirements (formats, SLAs, integrations) in partnership with Sales & Data, ensuring deal-winning compatibility and long-term maintainability.
• Run a continuous R&D loop: explore, prototype and benchmark new tactics/tools (scraping, compression, delivery) and feed the winners straight into the roadmap.
• Prioritise by ROI, select options with the best business-value vs complexity/time ratio to optimise unit cost and time-to-value.

Technical Face & Social Proof:
• Position Hub as an industry leader: publish Linkedin/Twitter articles, research notes, videos and talks.
• Amplify Hub’s current credibility, draw on your A-player track record and network to bring in senior talent, strategic partners and additional investors.
• Serve as the primary technical point of contact for investors: join advanced VC calls, run deep-dives, provide concise DD tech packs

Compliance & Security:
• Guarantee GDPR/CCPA compliance and data protection across Hub’s global residential-IP network.
• Embed security-by-design: audits, continuous pen-testing, threat-modelling, documented DR plans.
• Run regular DR drills and keep the continuity plan fully tested and current.