Senior Product Manager

🔥 15 hours ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 12%

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Arpeely

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Arpeely is a software company that specializes in building and operating machine learning-based media acquisition algorithms for both managed and real-time bidding (RTB) environments. Their autonomous media engine targets, retargets, self-adapts, and generates insights to identify the most valuable traffic, users, and lifetime value (LTV). Arpeely is directly connected to ad exchanges, enabling it to predict, detect, and evade fraudulent sources and low intent traffic, thus providing a competitive market edge. The company represents a fusion of engineering, fraud sciences, artificial intelligence, data science, and digital marketing.

📋 Description

• Own end-to-end product development across discovery, definition, execution, and iteration • Translate broad opportunities into product briefs, sharply defined problems, and clear roadmaps • Drive alignment across teams with clear communication and crisp documentation • Monitor performance and user feedback to refine features post-launch • Collaborate closely with cross-functional teams to define how to make AI natural, unobtrusive, and genuinely helpful • Help define the next chapter of a B2C AI browser • Explore new ideas, shape product strategy, and ship features for desktop and mobile experiences

🎯 Requirements

• 5+ years of product management experience with consumer or large-scale complex digital products • A track record of shipping thoughtful, user-centered features end-to-end and iterating based on concrete data • Strong product sense: ability to simplify complexity, see around corners, and sweat details • Experience working closely with design, data, and engineering around ambiguous problems and emerging technologies • Clear, concise communication — written and verbal • Ability to balance speed, quality, and scope without losing sight of the user experience • Experience scaling products from concept to mass market (nice to have) • Experience with AI products, ML-powered features, or high-frequency tools (nice to have) • Background in user research, prototyping, or technical exploration (nice to have)

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