Senior Product Manager, Data Foundations

MrBeast

• $153K — $203K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data platform or BI product strategy
  • Fluency in cloud data warehousing technologies like BigQuery, Snowflake, or Databricks
  • Strong understanding of semantic data modeling and BI/ETL tooling
  • Experience with AI-based solutions for data insights
  • Proven ability to transform ambiguous needs into clear requirements
  • Comfortable building systems with a lean team
  • Action-oriented with a focus on rapid prototyping and shipping

Responsibilities

  • Set strategy and roadmap for central data infrastructure and BI deployment
  • Inform architecture and platform decisions with expertise in cloud data warehousing
  • Support advanced analysis through semantic layer and data modeling
  • Evaluate BI and ETL tooling to ensure scalable tech stack
  • Drive user adoption by understanding workflows and clarifying requirements
  • Implement AI solutions to enable self-service insight production
  • Translate business needs into clear, testable requirements for engineering

Benefits

  • Competitive Salary
  • Generous Medical, Dental, Vision, and Life Insurance coverage
  • Company contributions to Health Savings Accounts (HSA)
  • 401k Plan with Safe Harbor company-matching
  • Flexible vacation policy and paid company holidays
  • Company-provided technology package
  • Relocation assistance including travel and housing support for the first 90 days
Full Job Description
We are building a first-of-its-kind consumer mobile product from the ground up. As a Product Manager, you'll be assigned a specific feature area to own end-to-end the exact scope will be defined based on team needs and your background, and shared in more detail during the interview process from spec to shipped feature to the metrics that tell you whether it worked. There is no legacy roadmap and no bloated process to inherit just a zero-to-one build, a small high-output team, and an AI-native way of working that lets one person do the job that used to take three. The Product You'll be part of a small, high-output team building the data infrastructure and BI foundation that powers decision-making across a fast-moving, AI-native organization. This isn't a legacy data team with years of technical debt to untangle, it's a chance to set strategy and architecture for how the entire company understands its own data, working in an AI-native way that lets one person do work that used to take three. This is a hands-on role for someone who is as comfortable in a data architecture review as they are presenting KPI insights to leadership. You'll work directly with Analytics leadership, engineering, and business stakeholders to turn scattered data and ad hoc reporting into a scalable, trusted system of record. What You'll Do 31 Set strategy and roadmap for our central data infrastructure and BI deployment, partnering closely with Analytics leadership to support company-wide KPI reporting and the development of key insights 31 Bring deep understanding of cloud data warehousing (BigQuery, Snowflake, Databricks, or similar) to inform architecture and platform decisions 31 Apply strong understanding of semantic layers and data modeling to support advanced, reliable analysis across the business 31 Own and evaluate BI and ETL tooling and techniques, ensuring the stack scales with the company's needs 31 Deeply understand user workflows and drive adoption through clear requirements docs, quality and timeliness SLAs, and rapid prototyping of reporting and query capabilities 31 Identify and implement AI-based solutions that democratize insight production, enabling business users without technical query skills to self-serve answers 31 Translate ambiguous business and analytics needs into clear, testable requirements that engineering can build against Who You Are 31 Experienced Operator: You've owned data platform or BI product strategy end-to-end, from architecture decisions through adoption 31 Technical: You're fluent in cloud data warehousing, semantic modeling, and BI/ETL tooling, enough to make informed architecture calls and hold your own in technical conversations with data engineers 31 AI-First: You already use AI tools as part of your daily workflow, and you actively look for ways AI can widen access to insights across the business, not just automate existing reports 31 Structured Thinker: You can take an ambiguous, cross-functional need and turn it into a clear, sequenced set of requirements with no gaps 31 Data-Driven: You define what "good" looks like (SLAs, adoption metrics) before you build, and use the numbers to guide iteration 31 Scrappy & Scaled: You're comfortable building foundational systems with a lean team, with enough experience to anticipate what breaks as usage and data volume grow 31 Action-Oriented: You default to shipping and prototyping over lengthy internal review cycles What Success Looks Like 31 Business teams across the company trust and rely on a single source of truth for KPI reporting 31 Non-technical stakeholders can self-serve insights without needing to write a query 31 Reporting and data requests move faster, with clear SLAs on quality and turnaround 31 The data platform scales cleanly as usage, data volume, and business complexity grow Location: Bay Area - Reporting To: Director of Product: $153k - $203k base + equity + benefits Benefits The Perks, Why Work On the MrBeast Team We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen. 31 Competitive Salary 31 Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance 31 Company contributions to employee Health Savings Accounts (HSA) 31 401k Plan with Safe Harbor company-matching 31 Flexible vacation policy and paid company holidays 31 Company-provided technology package 31 Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

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