Co-founder leading technical direction of a B2B AI startup at FutureSight. Own the product, technical direction, and grow a technical team from scratch.
Responsibilities
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
Requirements
You're an applied AI builder. You've taken AI capability and turned it into something users adopted, trusted, and got real value from — under real-world constraints. Experiments and demos don't count. Shipped products do.
You have strong technical and product taste. You keep systems simple, focused, and maintainable. You know when to move fast, when to slow down, and when to let the system run.
You understand agentic systems from first principles. You're not impressed by orchestration complexity for its own sake. You know when it adds leverage and when it just adds noise — and you build accordingly.
You're a strong translation layer. You can take messy product intent and turn it into clear structure, constraints, and specs that both humans and AI systems can act on. This comes from serious, hands-on time with LLMs.
You're close to the customer. You're comfortable in customer conversations, understand real workflows, and let that shape what you build. You know that building the right thing is harder — and more valuable — than building fast.
You're a founder at heart. Energized by ambiguity. Able to go far alone. Ready to commit fully.
Proven track record of shipping AI products to real users — not just research or prototypes
Deep practical experience with frontier models, LLM-based systems, and agentic architectures
Strong system design instincts with a bias for simplicity and maintainability
Rigorous about verification: feedback loops, evaluation, and systems that can be trusted
Prior experience as a technical co-founder or early engineering leader
Fundraising experience is a strong plus
Benefits
Meaningful equity — a true co-founder stake with real upside as the company grows
Studio backing from day one — early-stage capital, operational support, and a team that's done this before
The chance to build something from scratch — own the product, the technical direction, and the culture of the company
A partner, not just a platform — FutureSight is hands-on. We build alongside you, not above you
Access to an experienced network — tap into a team of multi-exit founders, investors, and operators who are genuinely invested in your success
Continuous learning and growth — tackle meaningful, high-impact challenges at the frontier of what AI can do
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