Principal Product Manager

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $160 000 - $180 000 / an

⏰ Temps Plein

🔴 Expert

✅ Responsable Produit

👻 Score fantôme 20%

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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Pearson VUE

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1994

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Pearson VUE est un leader mondial des tests informatisés, offrant une vaste gamme d'examens de certification pour divers secteurs. Ils soutiennent les candidats et les propriétaires de tests en proposant des ressources, des options de programmation et des aménagements spéciaux pour assurer un accès équitable aux tests. Leur mission est de responsabiliser les candidats et d'enrichir les communautés à travers la réalisation d'examens critiques qui valident les compétences et les connaissances professionnelles, contribuant à l'avancement des carrières et aux normes de l'industrie.

Description

• Define and maintain the vision, value proposition, and roadmap for the assigned product area • Set outcome-driven goals and plan leading and lagging indicators • Make trade-offs among user needs, go-to-market needs, and platform concerns • Contribute to platform-level strategy and broader roadmap discussions • Build direct understanding of users through engagement and continuous discovery • Conduct customer interviews, usability testing, behavioral analysis, and rapid prototyping • Develop empathy for learners, educators, and administrators • Serve as the competitive-space expert for the assigned assessment experience • Lead build/buy/partner analysis for Pearson Higher Education • Collaborate with engineering and design on problem framing and solution design • Contribute to team building as a player coach, sharing knowledge and mentoring peers • Write product artifacts including PRDs, specifications, capability definitions, and user stories • Manage scope and sequencing across strategic, near-term, and operational needs • Engage with engineering on architecture, API design, and technical trade-offs • Identify and evaluate AI capabilities including generative AI, prompt engineering, ML-assisted workflows, and intelligent content tools • Become the expert on classroom AI use and its implications for Pearson Higher Education assessments • Build relationships with engineering, design, data, content, and go-to-market partners • Communicate strategy, progress, trade-offs, risks, and decisions to senior stakeholders • Tell a clear product story covering the problem, users, rationale, and desired outcomes

🎯 Exigences

• 6+ years of product management experience • Track record of owning a product or area end-to-end, from discovery through measurable outcomes • Strong discovery skills and ability to translate insight into product decisions • Experience with B2B2C products serving multiple user types • Ideally, experience with both user-facing applications and developer-facing services • Technical acumen in architecture and API discussions • Ability to make informed technical trade-offs • Data fluency, including defining metrics, planning measurement, working with instrumentation, and using quantitative and qualitative insights • Hands-on experience with current AI tools in product work • Clear judgment on when AI is and is not appropriate • Strong written and verbal communication • Experience producing opportunity assessments, user stories, and strategic framing • Stakeholder management in complex organizations • Ability to influence without authority and build trust across functions • Bonus: educational technology background • Bonus: AI/ML product development experience in classification, recommendation, NLP, or computer vision • Bonus: experience modernizing software while maintaining the existing user base

🏖️ Avantages

• Eligible to participate in an annual incentive program • Benefits offered by Pearson (details referenced via a benefits link, but not provided in the posting)