Head of Institutional Product

About the role

As Head of Institutional Product at Smart Bricks, you will lead the product that institutional capital uses to discover, evaluate, and transact on our platform. You will own the strategy, roadmap, and prioritization for how institutional capital discovers, evaluates, and transacts on our platform.

Responsibilities

• Evolving the institutional workflow - underwriting, evaluation, and transaction - validated against real deployment outcomes
• Translating our production AI capability - valuation, forecasting, scoring, agentic reasoning - into institutional-grade product surfaces that are explainable and trusted
• Partnering directly with institutional users to understand their workflows, surface needs, and feed them into the roadmap
• Working closely with engineering and research to shape what gets built and ensure institutional requirements are reflected in the core system
• Defining and tracking the metrics that prove institutional value - adoption, capital deployed, retention, and workflow impact

Requirements

• Strong product leadership experience, ideally leading products for institutional, financial, or enterprise users in a high-trust, high-consequence setting
• Deeply understand institutional capital workflows - how funds, family offices, or asset managers evaluate and transact at scale
• Comfortable owning a product surface that depends on AI/ML systems, and able to reason about model outputs, explainability, and limitations
• Translate complex technical capability into clear product strategy and user value
• Take full ownership of outcomes - you set the direction, make the calls, and are accountable for adoption and impact
• Communicate clearly across engineering, research, and external institutions - you work at the boundary between all three
• Move fast in a small, high-trust team without heavy process

Qualifications

• Nice to have background in real estate, capital markets, private markets, or another large, data-intensive asset class
• Experience scaling products in regulated or compliance-sensitive environments
• Familiarity with AI/ML-driven products and the realities of building on top of live models
• Prior experience as an early product hire, operator, or leader in a high-growth environment