Senior BI Product Manager

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.