Senior Product Manager - Analytics

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Ramat-Gan

As a Senior Product Manager, you will define and execute the vision for Business Intelligence (BI), Social Listening, and Marketing Intelligence products within Oktopost. You’ll work closely with engineers and cross-functional teams to build solutions that provide customers with deep insights into their social media performance, competitive landscape, and market trends.

Responsibilities

• Conduct market research to identify trends, customer needs, and competitive gaps in BI, social listening, and marketing intelligence.
• Engage with customers to understand how they leverage data for decision-making and uncover new opportunities.
• Define and own the roadmap for BI, analytics, and social listening products, prioritizing features and enhancements.
• Collaborate with engineering, AI, and data teams to develop dashboards, analytics, and reporting tools.
• Ensure timely and high-quality delivery of new data-driven capabilities.
• Partner with marketing, sales, and customer success to define positioning, messaging, and adoption strategies.
• Train internal teams on new intelligence features and their business value.
• Define success metrics (KPIs) to track product adoption and customer impact.
• Continuously analyze product performance, gather customer feedback, and iterate on improvements.
• Align with executives and cross-functional teams on strategy and product direction.
• Communicate progress, insights, and key decisions with internal and external stakeholders.

Requirements

• 5+ years of product management experience, preferably in SaaS, analytics, BI, or social listening.
• Strong understanding of data analytics, reporting, and AI-driven insights in B2B marketing.
• Experience working with engineering and data science teams to build intelligence products.
• Proven ability to analyze data, identify trends, and translate insights into actionable product decisions.
• Excellent communication and stakeholder management skills.

Nice To Have

• Experience in social media management, marketing analytics, or competitive intelligence.
• Familiarity with AI-powered data analysis, NLP, and predictive analytics.
• Hands-on experience with BI tools (e.g., Looker, PowerBI, and Tableau) and data visualization.

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