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Lead Product Manager(SaaS + AI)

Zenoti - Hyderabad, Telangana, India - In-office - posted 2026-10-09

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Zenoti is a cloud-based SaaS platform serving the beauty and wellness industry, powering over 30,000 salons, spas, medspas, and fitness studios across 50+ countries. The company has achieved unicorn status ($1B+ valuation) and recently raised $80M from TPG. You will lead the vision and strategy for Zenoti's data products, working closely with senior management to align product direction with organizational objectives and customer needs. Key responsibilities include: • Develop and articulate a clear vision and strategic direction for data products, ensuring alignment with overall business objectives and customer requirements. • Oversee technical design and architectural decisions for building scalable, efficient data products that leverage the company's data assets. • Implement data governance frameworks and establish data quality and consistency standards across the Data Lake and other platforms, ensuring compliance with data security and privacy standards. • Facilitate cross-functional collaboration between engineering, data science, and business teams, translating business needs into technical specifications. • Conduct user research to understand user needs and pain points, using insights to guide product development and feature prioritization. • Define and monitor KPIs for data products to evaluate success and identify improvement opportunities. • Write detailed functional specifications and collaborate with engineering teams to deliver features across release cycles. This role focuses on reporting, analytics, and data products within a SaaS platform serving a large, global customer base. You'll work at the intersection of product strategy, data architecture, and business impact. REQUIREMENTS: • 8+ years of experience as a Product Manager, specifically in Reporting and Analytics areas • Working knowledge of analytical technologies, data warehouse design, and business intelligence best practices • Excellent analytical, problem-solving, and strategic thinking skills • Strong communication skills, capable of explaining complex data concepts to non-technical stakeholders • Good understanding of mobile, web, and cloud technology • Bachelor's degree in Computer Science, Information Systems, or related field (Master's degree preferred)

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