Senior PM, Data Foundations & AI-Driven BI

Mrbeast; Half Moon Bay (CA); On-site; USD 153,000 - 203,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, vision insurance

HSA contributions

401k with company match

Flexible vacation & holidays

Tech package

Relocation housing for 90 days

Job summary

Beast Industries in the Bay Area seeks a Product Manager to own end-to-end the data infrastructure and BI foundation that powers decision‑making across a fast-moving AI‑driven organization. You’ll partner with Analytics leadership, engineering, and business stakeholders to turn scattered data and ad hoc reports into a scalable, trusted system of record.

This hands-on role requires fluency in cloud data warehousing, semantic modeling, and BI/ETL tooling, plus the ability to translate ambiguous

Qualifications

• Own data platform or BI product strategy end-to-end, from architecture decisions through adoption.
• Fluent in cloud data warehousing, semantic modeling, and BI/ETL tooling to inform architecture choices.
• AI-first mindset: use AI to widen access to insights across the business.

Responsibilities

• Set strategy and roadmap for central data infrastructure and BI deployment with Analytics leadership.
• Inform architecture and platform decisions using deep knowledge of cloud data warehousing.
• Own evaluation of BI and ETL tooling to ensure scalable stacks.
• Translate ambiguous analytics needs into clear, testable requirements for engineering.
• Drive rapid prototyping of reporting and query capabilities to accelerate insights.
• Promote self-service analytics by enabling business users to access insights without SQL.

Skills

Experienced Operator

Technical

AI-First

Structured Thinker

Data-Driven

Scrappy & Scaled

Action-Oriented

Tools

Cloud data warehousing

Semantic modeling

BI/ETL tooling

Job description

Beast Industries in the Bay Area seeks a Product Manager to own end-to-end the data infrastructure and BI foundation that powers decision‑making across a fast-moving AI‑driven organization. You’ll partner with Analytics leadership, engineering, and business stakeholders to turn scattered data and ad hoc reports into a scalable, trusted system of record.

This hands-on role requires fluency in cloud data warehousing, semantic modeling, and BI/ETL tooling, plus the ability to translate ambiguous