Product Manager

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 18%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Quavo Fraud & Disputes

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

💼 Conseil

🛡️ Assurance

📦 Logistique

Consulting • Insurance • Logistics

Quavo Fraud & Disputes est un fournisseur de solutions de gestion des litiges et de la fraude pour les institutions financières. Sa plateforme SaaS (QFD®) et ses experts en résolution de litiges (DRE™) combinent automatisation, IA agentique, analyses avancées et intégrations pour accélérer la résolution des litiges de cartes, réduire les pertes, garantir la conformité réglementaire et améliorer l'expérience client pour les banques, les coopératives de crédit, les fintechs, les processeurs et les banques sponsors.

Description

• Own the roadmap for your product area, developed with direction from Product Leadership and in collaboration with peer Product Managers • Define problems to solve, target users, and intended business impact in clear product briefs with success criteria • Translate individual client requests into configurable, multi-tenant platform capabilities for the broader client base • Build business cases for prioritization recommendations and articulate tradeoffs and sequencing using supporting data • Partner with engineering and data science teams to define and deliver data- and AI-driven capabilities • Monitor adoption, time-to-value, and client retention signals; iterate after launch • Collaborate with the Product Owner and engineering partners to refine requirements and support execution, including backlog and delivery detail • Communicate product vision, strategy, and progress to internal teams and external stakeholders, including sales, account management, implementation, support, and clients • Partner with Product Marketing on go-to-market efforts and incorporate customer feedback through betas, discovery, and validation • Use AI tools for research synthesis, competitive analysis, data exploration, and drafting • Incorporate regulatory and compliance considerations into product decisions

🎯 Exigences

• 4+ years in a Product Manager or similar role, with demonstrated experience shipping software products in collaboration with engineering teams • Experience or domain knowledge in fintech, or in a highly regulated, compliance driven, or otherwise risk-sensitive industry • Experience contributing across strategy, prioritization, and delivery, with growing ownership over time • Experience with data-driven products and partnering closely with technical teams, including data science and engineering • Strong analytical thinking and comfort using data to inform, defend, and revisit decisions • Ability to communicate recommendations clearly and build alignment with cross functional partners through data and sound reasoning • Excellent presentation and written/verbal communication skills, with the ability to tailor content and style to different audiences, including senior leadership and clients • Comfortable with ambiguity and able to make progress independently in a fast-paced environment, while actively seeking input and feedback from leadership and peers • Experience using AI tools to improve productivity and accelerate product development workflows • Preferred: Knowledge in the fraud and disputes space, including consumer financial products and chargeback/dispute resolution processes • Preferred: Working knowledge of AI/ML concepts and experience contributing to AI-driven or data-intensive products