Senior Product Manager
Description
Join us at Dataroid, a foremost player in the digital analytics and customer engagement industry. Our AI-powered platform helps leading enterprises turn customer data into actionable insights, optimize digital journeys, and drive measurable business growth.
By combining behavioral analytics, customer insights, and real-time engagement, Dataroid enables enterprises to better understand their users and deliver personalized experiences across digital channels. Recognized as a Representative Vendor in the 2026 Gartner® Market Guide for Product Analytics, Dataroid is an award-winning platform trusted by leading banks, financial institutions, and global enterprises.
Today, our technology helps shape the digital experiences of more than 500 million users. At Dataroid, our team builds and continuously evolves a platform designed to handle complex enterprise needs, bringing together advanced analytics, AI, and customer engagement capabilities in one solution.
Key Responsibilities
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Understand product strategy and goals to maximize value and efficiency of product deliveries
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Study product usage, qualitative and quantitative analysis, and industry research data to inform strategies and product proposals
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Gather customer context and write product briefs to frame user needs for engineering, design, customer success, and marketing teams
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Align engineering and design teams on the correct problems with clear, written communication
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Prioritize and execute on an ambitious and impactful product roadmap
- Bring AI into everyday product work, from researching problems to shaping solutions and setting priorities, and help the team build an AI-first way of working
Qualifications & Experience
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5+ years of experience in Product Management / Product Ownership, preferably in data or AI-driven products
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Strong track record of building and scaling data-intensive or analytics products
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Ability to translate complex problems into clear product vision, user flows, and actionable requirements
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Experience working closely with engineering, data, and design teams in agile environments
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Strong prioritization skills with a clear understanding of trade-offs, impact, and business value
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Strong analytical mindset with a structured approach to breaking complex business challenges into clear, data-driven product decisions
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Good understanding of data infrastructure and analytics ecosystems
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Already use AI tools in your daily work, or are eager to start, and are open to trying new tools and building them into how you work
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Clear and structured communication with both technical and non-technical stakeholders
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Ownership mindset, high accountability, and a proactive, self-driven approach
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Fluency in English