Lead Product Manager

Join Doma, a company revolutionizing the real estate closing process. As a Lead Product Manager, you will drive strategy, feature development, and alignment across various teams. You will focus on intelligent title search and discrete business outcomes, while also playing a key role in problem-solving and shaping the vision of Doma's Product Team.

Technical Fluency: Comfort with APIs, data pipelines, and the machine-learning lifecycle (training data, evaluation, monitoring, and retraining), and the ability to evaluate data quality, accuracy, and cost with engineering and data science partners

USD 148,680 - 214,800

Responsibilities

• Assumer la responsabilité de l'exécution quotidienne du produit et de la feuille de route de la plateforme de décision de titre de refinancement.
• Définir et suivre les indicateurs clés de performance du produit et opérationnels, et être responsable des résultats par rapport aux objectifs de l'entreprise.
• Agir en tant que point de contact pour le produit pour les équipes internes et les partenaires externes, en apportant un point de vue aux examens de la feuille de route et à la direction.
• Impact: A prior focus on delivering impactful enterprise workflow, automation, and/or machine-learning or AI products that positively benefit key customer and business goals

Requirements

• Experience: 6+ years of relevant product management experience, including leading cross-functional initiatives for B2B, platform, data, or AI/ML-enabled products
• Collaboration: Ability to drive successful alignment across different internal and external stakeholders and leadership
• Strategy: Business acumen and a strong data-driven and judgment-driven decision-making skillset. The ability to convert this into a high-ROI roadmap and to make and explain trade-offs between competing priorities
• Domain (Extra Credit): Experience in title, escrow, mortgage, real estate, or another regulated financial-services workflow, or a demonstrated ability to learn a complex, regulated domain quickly
• Communication: Outstanding written and verbal communication skills with an emphasis on communicating technical requirements and solutions to internal and external audiences, including bringing clear recommendations to senior leaders
• Creativity and Design Thinking: Fearlessly innovative in undeveloped space, with independent identification of differentiated, powerful, and user delightful solutions
• Execution: Strong executional abilities to help engineering, data science and others have the necessary context, understanding of goals, and clarity of acceptance criteria. Being able to identify risks proactively and problem-solve to mitigate them
• Autonomy: The ability to work autonomously and constantly being able to convert ambiguity into clarity