Entrepreneur in Residence - Technical Co-founder (CTO)

๐Ÿข FutureSight ยท all FutureSight jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-08-06 ยท via Himalayas
๐Ÿท Entrepreneur-In-Residence,Chief-Technology-Officer,Technical-Cofounder,Venture-Building,B2B-AI,Co-Founder-and-CTO,Founding-CTO,Technical-Founder,Venture-CTO
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The Opportunity

FutureSight is seeking an applied AI builder to co-found and lead the technical direction of a new B2B AI venture from the ground up. This is a co-founder partnership with founder-level equity and founder-level authority, not a salaried executive role.

We are not looking for someone who manages engineers from a distance or adds AI language to a traditional CTO resume. We are looking for 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 โ€” and you want to do it again with the backing of an experienced venture building team โ€” this is the opportunity.

This is a full-time, exclusive commitment to building and owning a single B2B AI venture from the ground up.
About FutureSight

FutureSight is a leading venture builder that co-creates world-class software companies with values-driven entrepreneurs from inception to exit. We are a team of founders, operators and designers with experience successfully bringing software to market at scale.

You'll co-create with a proven venture building team, including:

- John Carbrey โ€“ 4x founder, bootstrapped to $100M ARR

- Joshua Auslander โ€“ Seasoned CFO and strategic advisor with $200M aggregate exits

- Alan Smith โ€“ Globally recognized early stage validation expert, 24 products launched, an exit, 5M+ books sold

- Prathna Ramesh โ€“ Early-stage investor and capital strategy advisor

The Partnership

- Founder-level equity with meaningful ownership from inception, aligned across funding rounds

- Founder-level authority, including co-decision rights on product, technology, hiring, fundraising, and strategy

- Pre-seed capital committed by FutureSight for early hires and MVP development, with potential for follow-on funding

- A proven process and playbook for taking ventures from 0 to 1, informed by our team's prior experience and mistakes

- Venture building and scaling resources, including embedded design, engineering, growth, and fundraising support from day one

- Investor and advisor network across B2B AI and early-stage capital markets

- A true co-creation model in which you operate as CTO with FutureSight 's cross-functional team as your partner โ€” building alongside you.

What you'll own

As Co-Founder & CTO, you will set the venture's technical direction and lead its execution. This is a co-founder role, not a CTO hire.

- Technical Direction โ€” Own problem framing, architecture, system design, and product judgment from day one, translating rough product intent into structure, context, and specs that both humans and AI systems can execute against

- Build โ€” Use modern tools and frontier models to move fast without sacrificing quality or maintainability, designing agentic systems with first-principles thinking and knowing when orchestration adds genuine leverage versus when simplicity is the better call

- Customer & Market โ€” Be the primary technical voice in early customer conversations, understanding real workflows and shaping the right product rather than just shipping quickly

- Traction Before Scale โ€” Prove there is something worth scaling before thinking about scaling it, focusing on traction first and team-building second

- Capital โ€” Contribute to fundraising, from investor conversations to due diligence

- Team โ€” Recruit and grow a technical team when the time is right, and establish the cultural foundation of the company

Co-Founder Profile

- Proven track record of shipping AI products to real users under real-world constraints โ€” not research, experiments, or prototypes

- Deep practical experience with frontier models, LLM-based systems, and agentic architectures, with strong system design instincts and a bias for simplicity and maintainability

- Strong translation layer skills โ€” able to turn messy product intent into clear structure, constraints, and specs that both humans and AI systems can act on

- Clos

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