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Director of PM, Data

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: MrBeast
Full Time position
Listed on 2026-01-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Engineer, Data Scientist
Job Description & How to Apply Below
Overview

Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio across digital media, philanthropy, consumer products, and innovative business initiatives. Our mission is to entertain, inspire, and create significant social impact, driven by innovation, creativity, and philanthropy.

Director of PM, Data

Location:

United States (Remote/Hybrid – Los Angeles)

Design the Scalable Data Intelligence Engine for the world’s leading Brands and Creators. Beast Industries is the world’s leading creator-led organization building an intelligence engine to empower the next generation of creators to grow faster and monetize smarter. We are redefining what commerce and influence look like at global scale, moving beyond simple matching to create an intelligence-driven, all-in-one marketing platform.

Every interaction is designed to streamline workflows and maximize capital deployment using agentic AI. This is your opportunity to lead the teams that decide how AI transforms billions of data points into precise matching, undeniable business results, and platform stickiness across every screen.

The Role

As the Director of PM, Data, you will lead the Product Management function for our data and intelligence ecosystem, overseeing the strategic direction, roadmap development, and execution of data products across the entire lifecycle, from ingestion and hygiene through algorithm development and brand safety models.

Your role is to build and mentor a high-performing product organization that treats data as the platform s secret sauce, combining deep technical expertise with strategic vision to ensure every data initiative drives systematic, efficient, and scalable creator-brand matches. You will align product efforts with business objectives, fostering innovation in AI-driven data solutions.

What You’ll Do

• Lead Product Strategy and Vision:
Define and articulate the long-term product vision and strategy for the data ecosystem, aligning it with company goals, market trends, and stakeholder needs. Conduct data market research, competitor analysis, and feedback sessions to inform strategic decisions.

• Own the Product

Roadmap:

Develop, prioritize, and manage the product roadmap for data products, balancing short-term deliverables with long-term innovation. Collaborate with cross-functional teams including engineering, data science, AI/ML, and business units to ensure timely and high-quality product launches.

• Mentor and Build PM Team:
Recruit, lead, and mentor a team of product managers focused on data, fostering a culture of excellence, accountability, and continuous improvement. Provide guidance on product best practices, prioritization frameworks (e.g., RICE, Kano), and agile methodologies.

• Own Data Infrastructure and Insights:
Assume ownership and extend existing infrastructure into a robust multi-source data product, ensuring continuous data hygiene, validation pipelines, and scalable features for first-party accuracy.

• Develop Core Matching Algorithms:
Lead the product development of matching algorithms as core features, connecting brands and creators based on performance and fit, using ingested campaign data to inform and iterate on product capabilities.

• Manage Data Collection Products:
Oversee the product management of data collection tools, including first- and third-party data across major social platforms, building scraping mechanisms where needed to enhance data completeness and usability.

• Ensure Trust

Infrastructure: Define and implement product features for brand safety models and data governance frameworks, ensuring compliance, trust, and user-centric design for brands.

• Collaborate on Outcomes and Stakeholder Management:
Partner closely with the Head of Creators, Head of Brands, and other stakeholders on shared OKRs to optimize match quality and outcomes, facilitating executive-level communications and alignment on data product priorities.

• Execute with Agility:
Serve as a strong executor who can quickly define product requirements,…
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