Director of Data, Product
Company:MrBeast
Location:United States
Languages:English
Seniority level:Director, 10+ years of product management, with at least 5 years in a director-level or senior leadership role
Experience:10+ years of product management, with at least 5 years in a director-level or senior leadership role
Skills:
LeadershipPythonSQLArtificial IntelligenceData AnalysisData MiningMachine LearningProduct ManagementAlgorithmsData engineeringData scienceData visualizationData modelingData management
Requirements:
10+ years of experience in product management, with at least 5 years in a director-level or senior leadership role, preferably in high-growth tech or data platform companies. Proven track record of building and scaling product teams. Prior experience running product for data-intensive platforms, with deep familiarity in large data sets, complex matching algorithms, and two-sided marketplaces. Experience from companies handling scalable data challenges is highly valued. Strong ability to define product roadmaps, execute against them quickly and resourcefully in an ambitious startup environment, and drive go-to-market strategies that enhance data efficiency, scale, and platform value. Experience building scalable data products, including hygiene, validation, and governance systems for managing a rapidly growing, global data ecosystem. Proficiency in translating metrics, user feedback, and data insights into actionable product decisions. Familiarity with tools like Amplitude, Mixpanel, or similar for product analytics. Excellent stakeholder management skills, with a history of working effectively with engineering, data science, AI/ML, and business teams to deliver impactful data products. Comfortable in fast-paced environments, with a bias for action and the ability to navigate ambiguity while fostering innovation, especially in AI-driven data solutions.
Responsibilities:
Define and articulate the long-term product vision and strategy for the data ecosystem. Develop, prioritize, and manage the product roadmap for data products. Recruit, lead, and mentor a team of product managers focused on data. Assume ownership and extend existing infrastructure into a robust multi-source data product. Lead the product development of matching algorithms as core features. Oversee the product management of data collection tools. Define and implement product features for brand safety models and data governance frameworks. Partner closely with stakeholders on shared OKRs to optimize match quality and outcomes. Quickly define product requirements, write detailed user stories and PRDs, and work directly with engineers.
