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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 Hubs 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 Hubs 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 Hubs 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.

Employment Type

Full Time

Company Industry

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