Data Product Manager

Our AI-driven consumer intelligence platform transforms billions of data points from search, LLM visibility, social listening, and e-commerce sources into strategic insights for global brands such as Coca Cola, Unilever, and Bayer.

• 5–7 years of experience in data product management focused on data products, analytics platforms, or data-intensive SaaS.
• Strong working knowledge of BI/visualization tools such as Power BI, Tableau, or Looker and experience with large multi-source datasets.
• Proficiency in SQL and data fluency including Python/pandas to investigate discrepancies and validate outputs.
• Experience defining data models, schemas, or taxonomies, ideally with unstructured inputs like social or sentiment data.
• Familiarity with LLM-powered product features (prompting, classification, summarization) is a plus.
• Excellent communication skills to explain data nuances to engineers and non-technical stakeholders.
• Ability to manage multiple products and priorities in a fast-paced environment.
• Experience with social listening or review-monitoring platforms (e.g., Brandwatch, YouScan).
• At least 2 years managing external data vendors including SLAs, audits, and source evaluation.

Nice to have:

• Hands-on experience with Databricks or equivalent modern data platforms.
• Experience evaluating or integrating third-party vendor data/APIs.
• Background in CPG, FMCG, or brand marketing analytics.

• Own strategy, commercials, SLAs, and escalations for all data vendors; scout, evaluate, select, and brief new sources for integration.
• Manage the product roadmap for the platform's data layer across search, social, review, LLM, and e-commerce data.
• Lead integration of new data sources including LLM visibility, e-commerce, and social visibility datasets.
• Ensure optimal reuse and utility of data across platform applications and agentic layers.
• Measure and report quality across the data processing pipeline; use metrics to guide engineering priorities.
• Define data quality standards and resolve discrepancies in partnership with data science and engineering.
• Translate complex multi-platform social and e-commerce data into clear client-facing data models and documentation.
• Collaborate with data quality/QA analysts to prioritize investigations into metric discrepancies.
• Build and maintain internal documentation of platform data capabilities.
• Define requirements and success metrics for new features; collaborate with product, design, engineering, and client-facing teams.
• Represent data voice in client-facing conversations, explaining data behaviors, limitations, and roadmap.

Please be informed that the data controller is Kratos Growth (hereinafter "controller"). You have rights regarding your personal data including access, rectification, erasure, restriction, objection, data portability, and lodging complaints to supervisory authorities. Data processing is mandatory for recruitment purposes as per local labour law, with certain optional data processed based on consent which can be withdrawn anytime. Personal data is processed until recruitment completion and for potential claims periods. Data recipients include Just Join IT and other entrusted entities related to recruitment.