
11 - 50 employés
📣 Marketing
🤖 Intelligence artificielle
Marketing • Artificial Intelligence • Advertising
Chalice AI est une entreprise qui propose des solutions logicielles permettant aux entreprises de s'équiper d'outils publicitaires pilotés par l'IA. Leur plateforme permet aux utilisateurs de créer et de contrôler des algorithmes formés sur leurs propres données, en privilégiant la transparence, la conformité et l'auditabilité. Chalice AI met l'accent sur les capacités de personnalisation et de prise de décision en temps réel de leur logiciel, permettant aux marques de générer des résultats commerciaux spécifiques. Ils se concentrent sur la fourniture de modèles d'IA uniques et spécifiques à chaque marque, ainsi que des solutions pour les data scientists et les annonceurs, améliorant ainsi la productivité et l'avantage concurrentiel dans le domaine de la publicité numérique.
🕒 il y a 27 jours
🗽 New York – Distant
💵 $190 000 - $220 000 / an
⏰ Temps Plein
🔴 Expert
✅ Responsable Produit
👻 Score fantôme 0%
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

11 - 50 employés
📣 Marketing
🤖 Intelligence artificielle
Marketing • Artificial Intelligence • Advertising
Chalice AI est une entreprise qui propose des solutions logicielles permettant aux entreprises de s'équiper d'outils publicitaires pilotés par l'IA. Leur plateforme permet aux utilisateurs de créer et de contrôler des algorithmes formés sur leurs propres données, en privilégiant la transparence, la conformité et l'auditabilité. Chalice AI met l'accent sur les capacités de personnalisation et de prise de décision en temps réel de leur logiciel, permettant aux marques de générer des résultats commerciaux spécifiques. Ils se concentrent sur la fourniture de modèles d'IA uniques et spécifiques à chaque marque, ainsi que des solutions pour les data scientists et les annonceurs, améliorant ainsi la productivité et l'avantage concurrentiel dans le domaine de la publicité numérique.
• Lead, manage, coach, and develop the product management team • Hold PMs accountable for product outcomes and individual growth • Lead hiring and performance management • Improve discovery, prioritization, requirements, and measurement practices • Ensure PMs define customer problems, intended outcomes, scope, and acceptance criteria • Distinguish research and experiments from work ready for delivery • Own product scope and priorities • Partner with Engineering, Data Science, the Scrum Master, and Technical Project Manager on dependencies, estimates, readiness, planning, and coordination • Directly lead product initiatives from discovery through launch when needed • Partner with the SVP of Product & Solutions Architecture on product strategy and investment priorities • Own portfolio sequencing and resolve cross-product tradeoffs • Evaluate opportunities based on customer value, revenue potential, data and infrastructure costs, capacity, and displaced work • Communicate roadmap changes and their implications • Build customer discovery practices with brands, agencies, and internal users • Partner on pilot customers, data requirements, success measures, and launch criteria • Work with Sales and Client Solutions on positioning, packaging, and launch readiness • Convert recurring customer needs into repeatable capabilities • Help customer-facing teams explain product capabilities, limitations, and measurement • Use adoption and performance evidence to guide investment
• 8+ years of product management experience • 3+ years directly managing PMs across hiring, coaching, and performance management • Experience leading a small product team with limited resources and contributing directly to product work • Strong product judgment, including choosing what to build, defer, or stop and evaluating resulting customer or business results • Track record of developing PMs in judgment, independence, or responsibility • Experience bringing complex B2B data or ML products into production • Experience working with Engineering and Data Science through uncertainty in data quality, model performance, and technical feasibility • Clear written and verbal communication • Ability to frame decisions, write useful requirements, and align technical and commercial stakeholders • Ability to design product measures and experiments, interpret results, and weigh customer value against delivery and operating costs • Preferred: experience in advertising technology, marketing technology, or an adjacent data-driven marketing domain • Preferred: programmatic advertising experience • Preferred: experience with partner integrations, data pipelines, model deployment, or real-time decisioning systems • Preferred: experience turning custom client solutions into reusable platform capabilities or self-service workflows • Must meet work authorization requirements verified through E-Verify
• Equity • Full benefits package • Unlimited PTO • Collaborative, inclusive environment
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