Senior Product Manager

Emploi pas sur LinkedIn

🕒 il y a 6 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 10%

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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EverC

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

🤖 Intelligence artificielle

🔒 Cybersecurity

💳 Fintech

Artificial Intelligence • Cybersecurity • Fintech

EverC est une entreprise spécialisée dans les technologies basées sur l’IA pour fournir des solutions entièrement automatisées de gestion des risques liés aux marchands et aux marketplaces. Elle propose une intelligence risque complète aux banques, aux prestataires de services de paiement et aux marketplaces, afin de sécuriser le commerce en ligne et de renforcer la confiance des consommateurs. En s’attaquant à des problèmes tels que la fraude en ligne, les contrefaçons et les produits piratés, EverC propose notamment MerchantView, dédié à la détection des risques au niveau des marchands, et MarketView, dédié à la détection des risques au niveau des produits. Ces solutions permettent de se développer en toute sécurité dans de nouveaux secteurs et de nouvelles régions grâce à une intelligence avancée et à l’automatisation.

Description

• Own a portfolio of established merchant onboarding and monitoring products used by financial institutions and payment providers worldwide • Lead modernization of key underlying platform capabilities • Own product strategy and growth for innovative solutions on the next-generation platform • Collaborate with Engineering, Data Science, Customer Success, Sales, and Operations teams to translate business requirements into actionable features and experiences • Work with clients and internal stakeholders to collect insights, validate proposed solutions, and maintain market-leading standards for MRS products in risk detection, monitoring, and management • Own the roadmap and prioritization for merchant onboarding and monitoring products • Build business cases balancing cost, quality, and scalability • Lead customer transition strategy as products evolve onto new capabilities • Use market, competitive, and customer research to identify opportunities and shape the roadmap • Incorporate responsible AI capabilities into the roadmap and use AI tools to accelerate research, requirements development, customer insights synthesis, and execution • Engage directly with key customers to understand use cases, gather feedback, validate hypotheses, and ensure product-market fit • Define and prioritize features; write requirements, user stories, and acceptance criteria for Engineering and Data Science partners • Manage backlogs and delivery progress in Jira • Collaborate cross-functionally to guide development, meet delivery milestones, and remove roadblocks • Monitor product performance and customer outcomes using analytical methods • Partner with Sales, Customer Success, and Operations to support go-to-market efforts and product launch readiness

🎯 Exigences

• 5+ years of product management experience, ideally in data, AI/ML, and/or fintech • Experience leading platform modernization or customer transition programs • Demonstrated success managing complex, data-driven or analytical products, from concept through launch and iteration • Strong technical fluency, including working SQL skills, experience with customer-facing APIs, and the ability to dive into a data model and understand it in detail • Experience building business cases, including vendor evaluation, unit economics, and build-versus-buy decisions • Fintech, payments, KYB/KYC, and/or e-commerce risk and compliance experience is preferred • Demonstrated ability to leverage AI tools in day-to-day product work (e.g., Copilot, generative AI assistants) • Experience collaborating with Data Science to translate business problems into practical, ethical AI-enabled product solutions • Proven ability to translate customer needs and business objectives into clear product requirements and actionable development plans • Excellent collaboration skills and experience working with Engineering, Data Science, Operations, and GTM teams, including teams distributed across time zones • Comfort with evolving scope and shared ownership across multiple product teams • Strong analytical skills for modeling, KPI analysis, and trend evaluation • Exceptional communication skills, with the ability to present complex concepts to both technical and non-technical audiences • Comfortable engaging with customers and external stakeholders to gather insights, validate assumptions, and build strong relationships • Bachelor’s degree in business, analytics, computer science, or a related field (MBA or advanced degree a plus)

🏖️ Avantages

• Position may require travel 2-3 times per year