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Jobs / Director of Product in United States of America
4 days ago
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Tubitv·4 days ago
4 days ago

Director Product, Discovery & AI

San Francisco, United States of AmericaHybridSenior · 8+ yearsDirector of Product

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Must-have skills for this role

  • machine learning
  • recommender systems
  • personalization
  • deep learning

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Apply faster with autofill FREEtubitv uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Build industry-leading recommendation, ranking, search, and personalization systems that improve viewer engagement and retention
  • Partner with machine learning and engineering leaders to advance large-scale recommendation systems, deep learning, foundation models, and applied AI
  • Drive product strategy for the signals, features and content attributes that power personalized experiences
  • Leverage AI and machine learning to better understand content, predict viewer preferences, and inform content acquisition and programming decisions
  • Analyze performance of AI/machine learning approaches and develop strategies and execution plans to increase the associated business impact
  • Evaluate emerging AI technologies and identify opportunities to create durable competitive advantages for Tubi
  • Be accountable for achieving company-level growth objectives
  • Lead the growth and development of a high performing team of Product Managers

What they're looking for

  • 8+ years of product management experience building and scaling consumer-facing products
  • 4+ years of experience leading and managing product teams
  • Deep experience and understanding of modern machine learning approaches, including recommender systems, deep learning, retrieval and ranking architectures, large language models, and foundation models
  • Ability to partner with senior engineering, machine learning, and data science leaders on model architecture, experimentation strategy, infrastructure investments, and technical roadmaps
  • Solid understanding of machine learning evaluation methodologies
  • Ability to work with and influence cross-functional stakeholders and senior executive teams across the company
  • Passion for applying leading edge AI and machine learning technologies to solve complex consumer problems

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

About the Role:

We are looking for a Director Product, Discovery & AI to define and lead the future of content discovery for over 100 million monthly active viewers. This leader will own the strategy, roadmap, and business outcomes for recommendations, ranking, personalization, search, and AI-powered experiences across Tubi.

This is a highly technical product leadership role at the intersection of machine learning, consumer product, and entertainment. You will partner closely with engineering, machine learning, and data science teams to build state-of-the-art recommendation systems, ranking algorithms, foundation models, and personalization capabilities that help viewers discover content they'll love.

You will oversee the systems that determine what millions of viewers watch every day, while shaping how AI transforms the end-to-end entertainment experience - from the content understanding and acquisition strategy to search, recommendations, and next gen discovery.

This is a hybrid role based out of our San Francisco office. You must be willing to travel to our San Francisco office 2 days/week. 

What You'll Do:

  • Build industry-leading recommendation, ranking, search, and personalization systems that improve viewer engagement and retention
  • Partner with machine learning and engineering leaders to advance large-scale recommendation systems, deep learning, foundation models, and applied AI
  • Drive product strategy for the signals, features and content attributes that power personalized experiences
  • Leverage AI and machine learning to better understand content, predict viewer preferences, and inform content acquisition and programming decisions 
  • Analyze performance of AI/machine learning approaches and develop strategies and execution plans to increase the associated business impact
  • Evaluate emerging AI technologies and identify opportunities to create durable competitive advantages for Tubi
  • Be accountable for achieving company-level growth objectives
  • Lead the growth and development of a high performing team of Product Managers

Your Background:

  • 8+ years of product management experience building and scaling consumer-facing products
  • 4+ years of experience leading and managing product teams
  • Deep experience and understanding of modern machine learning approaches, including recommender systems, deep learning, retrieval and ranking architectures, large language models, and foundation models
  • Ability to partner with senior engineering, machine learning, and data science leaders on model architecture, experimentation strategy, infrastructure investments, and technical roadmaps
  • Solid understanding of machine learning evaluation methodologies
  • Ability to work with and influence cross-functional stakeholders and senior executive teams across the company
  • Passion for applying leading edge AI and machine learning technologies to solve complex consumer problems

#LI-SY1

#LI-Hybrid

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.

High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco
$243,700—$348,100 USD

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits.  The following distinctions below outline the differences between the Tubi and FOX benefits:

  • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
  • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
  • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Company

Tubitv
San Francisco, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Tubitv's careers site·first seen 16 Sept 2026·last verified 16 Sept 2026·How we source jobs

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