{"id":1151657,"url":"https://alion.io/job/mrbeast-senior-product-manager-data-foundations","title":"Senior Product Manager, Data Foundations","company":{"id":678220,"name":"MrBeast","domain":"mrbeastyoutube.com","url":"https://alion.io/company/mrbeastyoutube","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":25,"ghost_share":0,"stale_share":0.12,"repost_share":0,"time_to_fill_p50_days":179,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":153000,"max":203000,"currency":"USD","period":"year","gross":null,"usd_annual":203000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-09-23T17:10:31Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T00:36:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nBeast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.\nWe 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.\nThe Product\nYou'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.\nThis 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.\nWhat You'll Do\nSet 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\nBring deep understanding of cloud data warehousing (BigQuery, Snowflake, Databricks, or similar) to inform architecture and platform decisions\nApply strong understanding of semantic layers and data modeling to support advanced, reliable analysis across the business\nOwn and evaluate BI and ETL tooling and techniques, ensuring the stack scales with the company's needs\nDeeply understand user workflows and drive adoption through clear requirements docs, quality and timeliness SLAs, and rapid prototyping of reporting and query capabilities\nIdentify and implement AI-based solutions that democratize insight production, enabling business users without technical query skills to self-serve answers\nTranslate ambiguous business and analytics needs into clear, testable requirements that engineering can build against\nWho You Are\nExperienced Operator: You've owned data platform or BI product strategy end-to-end, from architecture decisions through adoption\nTechnical: 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\nAI-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\nStructured Thinker: You can take an ambiguous, cross-functional need and turn it into a clear, sequenced set of requirements with no gaps\nData-Driven: You define what \"good\" looks like (SLAs, adoption metrics) before you build, and use the numbers to guide iteration\nScrappy & Scaled: You're comfortable building foundational systems with a lean team, with enough experience to anticipate what breaks as usage and data volume grow\nAction-Oriented: You default to shipping and prototyping over lengthy internal review cycles\nWhat Success Looks Like\nBusiness teams across the company trust and rely on a single source of truth for KPI reporting\nNon-technical stakeholders can self-serve insights without needing to write a query\nReporting and data requests move faster, with clear SLAs on quality and turnaround\nThe data platform scales cleanly as usage, data volume, and business complexity grow\n Location: Bay Area - Reporting To: Director of Product: $153k - $203k base + equity + benefits\nBenefits\nThe Perks, Why Work On the MrBeast Team\nWe 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.\nCompetitive Salary\nGenerous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance \nCompany contributions to employee Health Savings Accounts (HSA) \n401k Plan with Safe Harbor company-matching\nFlexible vacation policy and paid company holidays\nCompany-provided technology package \nRelocation assistance where applicable, including travel and company-provided housing for the first 90 days","description_format":"text","description_chars":5484,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Flexible vacation policy","Life insurance","Relocation assistance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-23T17:58:37Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":179,"reasons":["conf:0","win:early"],"computed_at":"2026-09-24T01:19:34Z"},"pay":{"stated_usd_annual":203000,"is_top_pay":false},"html_url":"https://alion.io/job/mrbeast-senior-product-manager-data-foundations","json_url":"https://alion.io/job/mrbeast-senior-product-manager-data-foundations.json","meta":{"generated_at":"2026-09-24T01:19:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}