Data & AI Product Manager

Job not on LinkedIn

🔥 12 hours ago

🦌 Connecticut, New Jersey, +2 more states – Remote

🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote

💵 $99.5k - $132.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Endeavor

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1999

🏨 Hospitality

📣 Marketing

Hospitality • Marketing • Entertainment

Endeavor is a global sports and entertainment company that owns, represents, and produces premium sports and entertainment content. From its beginnings as a Hollywood talent agency, Endeavor has expanded into a diverse portfolio across the sports and entertainment ecosystem. The company specializes in talent representation through WME, sports operations and advisory through IMG, and experiences and hospitality through On Location. Endeavor is also involved in live event production, sports data and technology, and cultural marketing. It is the majority owner of TKO Group Holdings, which includes UFC and WWE, and owns organizations like PBR and Euroleague Basketball. Its comprehensive services span talent representation, sports operations, event management, media production, brand licensing, and more.

📋 Description

• Own product direction, roadmap, backlog, and lifecycle for On Location Base data products • Oversee development of reusable Snowflake data products, including dimensional models, curated data sets, semantic definitions, data interfaces, and governed self-service assets • Partner with analytics and business teams to shape BI reporting and AI-enabled capabilities • Advise stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership • Shape unmet needs into opportunities with defined users, decisions, actions, value hypotheses, success measures, dependencies, and stop/reconsider criteria • Manage a multi-horizon portfolio and make tradeoffs across value, urgency, risk, reuse, delivery confidence, capacity, and displaced work • Convert product intent into Jira epics, stories, acceptance criteria, data contracts, measures, and decision records • Partner with data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams from discovery through production • Track dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership • Enable reporting and decision-making across On Location events and programs while building reusable patterns across TKO • Improve adoption, documentation, trust, reliability, latency, support signals, and outcome measures for owned products

🎯 Requirements

• 3+ years of experience in data product management, technical product management, analytics product management, data engineering, data science, analytics engineering, or a closely related field • Strong technical foundation in data engineering, software engineering, data science, analytics engineering, or data analysis • Ability to reason credibly about related technical disciplines • Experience translating business problems into data models, analytical products, platform capabilities, integrations, APIs, pipelines, or AI-enabled workflows • Working fluency with SQL and modern data concepts including dimensional modeling, data quality, identity resolution, semantic layers, event instrumentation, warehouse/lakehouse architecture, APIs, and data lifecycle management • Demonstrated ownership of products or complex initiatives from discovery through delivery, launch, adoption, and ongoing operation • Strong execution and operating discipline • Excellent written and verbal communication • Experience balancing multiple concurrent priorities in changing environments with hard deadlines and cross-functional dependencies • Preferred: career path beginning in engineering, data science, data analysis, analytics engineering, or another technical discipline before transitioning into product management • Preferred: experience with Snowflake, Omni or another semantic/BI platform, Salesforce, Marketing Cloud or comparable activation systems, Amplitude/GA4, Census or similar reverse-ETL tools, and/or modern AI platforms • Preferred: experience with customer 360, event or behavioral data, audience activation, attribution, lead scoring, marketing analytics, commissions, or commercial reporting • Preferred: experience delivering products for live events, entertainment, sports, travel, hospitality, e-commerce, or another time-sensitive, customer-facing industry • Preferred: experience with governance, privacy, security, PII, data-sharing agreements, model risk, or responsible AI requirements • Preferred: familiarity with Jira, agile delivery practices, product discovery, experimentation, and portfolio or product-operations cadences • Genuine enthusiasm for entertainment, sports, live events, and TKO brands

🏖️ Benefits

• Base rate along with, as applicable, short- and long-term incentives • Growth and developmental opportunities • Health care • Retirement • Vacation and other paid time off • Additional offerings