Senior Product Manager – Age Assurance

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $170 000 - $205 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Socure

Socure

501 - 1000 employés

Fondée en 2012

🤖 Intelligence artificielle

🔐 Sécurité

💸 Finance

💰 €450 000 000 Series E en 2021-11

Artificial Intelligence • Security • Finance

Socure est un leader dans la fourniture de solutions de vérification d'identité et de prévention de la fraude alimentées par l'intelligence artificielle. Leur plateforme, connue sous le nom de RiskOS™, permet aux organisations de prendre des décisions fiables en matière d'identité et de risque, facilitant ainsi l'intégration et la gestion des clients à travers divers points de contact. Avec des vérifications d'identité en temps réel et précises effectuées dans plus de 190 pays, Socure aide à combattre la fraude identitaire tout en assurant la conformité et en améliorant l'expérience client.

Description

• Help define and build systems that enforce age-based access without unnecessary friction • Power age estimation and age assurance with strong accuracy and accountability • Support minor and guardian consent workflows across different regions • Translate signals into clear, enforceable product decisions • Evolve with changing global regulations and platform requirements • Work closely with Engineering, Data Science, Legal, and Trust & Safety to make decisions where tradeoffs are constant and rarely straightforward

🎯 Exigences

• 3–5 years of product management experience, ideally in identity, fraud, trust & safety, or similarly complex domains • Direct experience in age assurance, kids’ online safety, or adjacent areas is strongly preferred • Hands-on exposure to minor consent and guardian consent workflows, or regulated onboarding flows • A strong understanding of how to balance safety, compliance, and user experience in real-world systems • Comfort working with technical systems, including APIs, decisioning logic, and data-driven products • Experience partnering with Data Science teams, especially on model-driven products • Ability to use data and analysis to evaluate performance and guide decisions • Willingness to work through ambiguity, challenge assumptions, and take ownership of outcomes

🏖️ Avantages

• Offers Equity • Offers Bonus

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