Product Manager (Autopilot)

About the role

Join Blend, a leading technology company in the mortgage and lending industry. As the Head of Product for Autopilot, you will own the product roadmap, commercial model, and evaluation framework for our AI agent product. You will work closely with our AI engineering team, forward-deployed teams, and go-to-market organization. This is a high-impact role with direct exposure to the CEO and executive leadership. Key missions: Définir la feuille de route d'Autopilot, en priorisant les capacités des agents en fonction de leur impact mesurable sur le cycle de prêt, le coût par prêt et la productivité de l'équipe d'opérations.. Posséder le modèle commercial d'Autopilot : tarification et emballage des offres, et adoption chez les clients en direct afin que la capacité achetée devienne un volume transigé.. Transformer les apprentissages des engagements clients en capacités généralisées et productisées, en décidant de ce qui passe de la construction personnalisée au produit de base. Profile: - 10 or more years of product experience, including leadership of an AI, ML, or automation product with real production usage and commercial accountability for its results - Experience working directly with enterprise customers in discovery and pilots, and turning individual customer wins into repeatable products - A builder's posture: you prototype, you get into the data, and you use AI tools daily in your own work - Crisp written and verbal communication, with the ability to present to executives and customer leadership - Domain experience in mortgage, home equity, or consumer lending operations, with fluency in the loan lifecycle to be credible with lending executives - Comfort operating in a domain with high accuracy and compliance requirements, and designing products that earn trust from risk and operations stakeholders - Strong instinct for agent and LLM product design: evaluation, prompt and tool design, human-in-the-loop patterns, and knowing when a workflow is ready for autonomy - Experience in a forward-deployed engineering or solutions model - Engineering background or a technical path into product, with credibility partnering with AI engineering teams - Familiarity with underwriting, income and asset verification, or loan quality processes