Posted 4w ago

Entrepreneur in Residence - Technical Co-founder (CTO)

@ FutureSight
Los Angeles, California, United States
RemoteFull Time
Responsibilities:Own direction, Translate intents, Build hands-on
Requirements Summary:Applied AI builder with hands-on product shipping; strong system design; customer-facing; founder mindset; experience with frontier models and agentic architectures.
Technical Tools Mentioned:Frontier models, LLMs, Agentic systems, System design, Programming
Save
Mark Applied
Hide Job
Report & Hide
Job Description

About FutureSight

FutureSight is a venture studio that co-creates and invests in B2B AI startups alongside exceptional entrepreneurs. We give founders an unfair advantage by pairing hands-on studio support with early-stage capital — reducing risk and increasing the odds of success by 10x.

We're a cross-functional team of builders and investors. Our team includes Alan Smith (venture design), Prathna Ramesh (capital strategy), Dennis Ensing (operations and strategy), Krista LaRiviere (marketing and entrepreneurship, multi-time exited founder), An Joshi (founder excellence), and John Carbrey, MD and Founder of FutureSight — a multi-exit entrepreneur and experienced B2B SaaS operator who brings deep insight into what it takes to build and scale ventures from the ground up.

The Opportunity

We're looking for an applied AI builder to co-found and lead the technical direction of a new B2B AI company — from zero. Not someone who manages engineers from a distance or adds AI language to a traditional CTO resume. Someone who can take a vague problem, frame it clearly, design the right system, and turn it into something customers actually use and trust.

If you've gone from ambiguity to working product before — and you want to do it again with the backing of an experienced venture studio — read on.

What You'll Do

  • Own the technical direction from day one: problem framing, architecture, system design, and product judgment
  • Translate rough product intent into structure, context, and specs that both humans and AI systems can execute against
  • Build hands-on — use modern tools and frontier models to move fast without sacrificing quality or maintainability
  • Be the primary technical voice in early customer conversations: understand real workflows, shape the right product, not just ship quickly
  • Design and build agentic systems with first-principles thinking — knowing when orchestration adds genuine leverage and when simplicity is the better call
  • Prove there is something worth scaling before thinking about scaling it — your first job is traction, not team-building
  • Recruit and grow a technical team when the time is right
  • Contribute to fundraising — from investor conversations to due diligence