Senior Product Manager (Data Strategy)

Join our team as a Senior Product Manager (Data Strategy) and be at the forefront of innovation in the data industry. In this role, you will evaluate and design new datasets and data products to enhance our platform and power our clients. You will conduct customer interviews, gather feedback, and identify pain points to inform new product ideas and enhancements. You will collaborate with various teams, assess new datasets, develop scoring methods, and explore novel ways to present data insights to clients. A background in private markets, investment banking, or venture capital is preferred, along with experience in product management, data science, or data engineering.

• Influencer le plan de produit en proposant des fonctionnalités et des améliorations innovantes pour les versions mensuelles.
• Collaborer avec les équipes de mise sur le marché et de recherche pour générer des idées créatives pour améliorer nos produits de données.
• Évaluer de nouveaux ensembles de données en termes de pertinence, de qualité et d'impact potentiel sur notre plateforme.
• Knowledge of Productboard and Figma a plus
• Rigorous, clear, and compelling thinking demonstrated in how you present, write, and collaborate
• Demonstrated ability to think beyond conventional data products and propose creative, proxy-based approaches to answering hard questions about private companies
• Background in or strong exposure to private markets, investment banking, venture capital, or growth equity, with a clear understanding of what signals matter to investors tracking pre-IPO, M&A, and funding activity
• Familiarity with NLP, text classification, sentiment analysis, or other approaches to extracting signal from unstructured content
• Experience working with alternative data used for investment or business intelligence purposes
• Proficiency in conducting insightful customer interviews to uncover pain points and gather valuable feedback
• Experience evaluating third-party data vendors or data acquisition opportunities, including assessing quality, coverage, and licensing implications
• Bachelor's or master's degree
• Urgency in the way you operate and contribute to a dynamic work environment
• Familiarity with data tools, databases, and programming languages (SQL, Python, etc)
• Prior experience in competitive intelligence, investigative research, or financial data products where the core challenge was inferring conclusions from incomplete or indirect evidence is preferred
• Detail-oriented approach to data analysis and hypothesis testing
• 3+ years of experience in product management, data science, data engineering, or related field
• Ability to think outside the box and propose novel solutions