Lead operator to launch and oversee C10 Labs’ NYC studio focused on AI ventures. Engage with startups, drive incubator execution, and manage ecosystem partnerships.
Responsibilities
Lead the setup and launch of C10 Labs NYC, including physical space, initial team recruitment, and onboarding.
Stand up systems and workflows to support multiple parallel venture builds.
Coordinate with real estate partners, vendors, and civic/economic development entities.
Design and execute a high-impact incubator program in partnership with our Cambridge team: founder sourcing, onboarding, curriculum, milestone tracking, workshops, and demo days.
Deliver program curriculum, monitor performance, capture learnings, and continuously iterate to improve the founder experience.
Manage mentor networks, partner programming, and founder resources.
Build strong ties with NYC-based founders, technologists, academic researchers, and operators.
Lead startup recruitment and ideation events to source promising AI ventures.
Represent C10 Labs at conferences, university events, and community forums.
Serve as liaison to NYC-based partners.
Interface with academic innovation hubs to access translational research and recruit top AI talent.
Explore public-private collaboration models to amplify C10’s studio platform.
Report KPIs and key metrics to C10 Labs’ GPs and studio leadership.
Contribute to investment diligence and portfolio company evaluation.
Ensure alignment of NYC operations with broader fund and studio strategy.
Requirements
7+ years in fast-paced, entrepreneurial roles in applied AI, product, VC platform ops, venture studios, or accelerators.
Deep familiarity with the NYC innovation ecosystem—startups, VCs, research universities, civic programs.
Technical foundation in AI/ML, data science, or engineering (coding not required, but understanding of technical concepts and new applications is key)
Demonstrated success launching or scaling early-stage products, programs, or ventures.
Experience supporting technical founders and building structure in ambiguous environments.
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