Director Product, Discovery & AI
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). The posting includes "About the Role:" paragraph, then "What You'll Do:" bullet list, then "Your Background:" bullet list, then pay info, benefits, etc. Also includes "About Tubi:" paragraph, but that's company description; could be part of About the role? Might be separate but not required. We need to include sections only when there is real specific content. We have content for About the role (the first paragraph). Responsibilities: "What You'll Do:" list. Requirements/Qualifications/Skills: "Your Background:" list. Benefits: there is description of benefits (medical/dental/vision, insurance, 401k, PTO, flexible time off, parental leave, wellness reimbursement). Pay: there is pay range. Schedule: mention hybrid role, must travel to SF office 2 days/week. So we can include Schedule section.
We must not include boilerplate like EEO, equal opportunity, etc. Also remove duplicated lines. Also remove navigation/cookie etc. Not present.
We must not include sections with filler like "commensurate with experience". Not present.
We must preserve all substantive info. So we need to include all details from the posting.
We need to format using for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must not repeat job title as heading. So we won't add a heading for the job title.
We need to decide which sections to include: About the role, Responsibilities, Requirements (or Qualifications), Skills, Benefits, Pay, Schedule. Possibly combine Requirements and Qualifications and Skills into one? But we can separate if content distinct. The "Your Background:" includes experience, years, deep experience, ability to partner, etc. That could be Requirements/Qualifications/Skills. We could split into Requirements (years of experience), Qualifications (deep experience), Skills (ability to partner...). But we can also just put all under Requirements or Qualifications. The instruction: Prefer a few substantive sections over many thin ones. So maybe combine into one section "Requirements" that includes all bullet points from Your Background. Or we could have "Qualifications" and "Skills" but that may be thin. Better to have one section "Requirements". However the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't require using all; we can choose subset. So we can have About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. That's enough.
We need to include the About Tubi description? Could be part of About the role or maybe a separate "About the company" but not required. Since we have About the role paragraph already includes some company context. The About Tubi paragraph is separate; we could include it as part of About the role (maybe after the first paragraph). It's substantive. So we can append that paragraph to About the role section.
Now we need to extract bullet points.
From "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
From "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
Benefits: The paragraph after pay: "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." Then later: "High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $243,700—$348,100 USD". Then after that: "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."
We need to capture benefits: medical/dental/vision, insurance, 401k, paid time off, discretionary bonus, long-term incentive plan, flexible time off policy, parental leave program (12 weeks paid), monthly wellness reimbursement. Also note that the FOX Employee Benefits summary covers majority; but we can just list the Tubi-specific benefits.
We should not include boilerplate like "Pursuant to state and local pay disclosure requirements". That's part of pay section but we can keep the pay range sentence. The sentence: "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." That's somewhat boilerplate but it's part of pay disclosure; we can keep it as part of Pay section prose.
We need to output only HTML fragment.
Let's craft:
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.
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.
Responsibilities
- 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
Requirements
- 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
Benefits
- Annual discretionary bonus
- Long-term incentive plan
- Medical, dental, and vision insurance
- 401(k) plan
- Paid time off
- Flexible Time Off policy (for salaried/exempt employees)
- Parental Leave Program – 12 weeks paid bonding leave
- Monthly wellness reimbursement
Pay
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. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $243,700—$348,100 USD.
Schedule
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.
Check for any duplicated content: We have schedule repeated in About the role and Schedule section; but it's okay to have it in both? The instruction: do not repeat job title as heading; but repeating substantive info is allowed? Might be considered duplication but not prohibited. However we could remove the schedule sentence from About the role to avoid duplication, but the About the role paragraph includes that info; it's part of the role description. It's okay to keep it there; schedule section could be omitted if we consider it covered. But we need to include Schedule section only if posting has real specific content for it. It does: hybrid role, 2 days/week. So we need a Schedule section. It's okay to have the same info also in About the role; not prohibited. However we might want to avoid
- for any list of duties/requirements/benefits. Use
for prose. We must not repeat job title as heading. So we won't add a heading for the job title. We need to decide which sections to include: About the role, Responsibilities, Requirements (or Qualifications), Skills, Benefits, Pay, Schedule. Possibly combine Requirements and Qualifications and Skills into one? But we can separate if content distinct. The "Your Background:" includes experience, years, deep experience, ability to partner, etc. That could be Requirements/Qualifications/Skills. We could split into Requirements (years of experience), Qualifications (deep experience), Skills (ability to partner...). But we can also just put all under Requirements or Qualifications. The instruction: Prefer a few substantive sections over many thin ones. So maybe combine into one section "Requirements" that includes all bullet points from Your Background. Or we could have "Qualifications" and "Skills" but that may be thin. Better to have one section "Requirements". However the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't require using all; we can choose subset. So we can have About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. That's enough. We need to include the About Tubi description? Could be part of About the role or maybe a separate "About the company" but not required. Since we have About the role paragraph already includes some company context. The About Tubi paragraph is separate; we could include it as part of About the role (maybe after the first paragraph). It's substantive. So we can append that paragraph to About the role section. Now we need to extract bullet points. From "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 From "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 Benefits: The paragraph after pay: "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." Then later: "High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $243,700—$348,100 USD". Then after that: "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." We need to capture benefits: medical/dental/vision, insurance, 401k, paid time off, discretionary bonus, long-term incentive plan, flexible time off policy, parental leave program (12 weeks paid), monthly wellness reimbursement. Also note that the FOX Employee Benefits summary covers majority; but we can just list the Tubi-specific benefits. We should not include boilerplate like "Pursuant to state and local pay disclosure requirements". That's part of pay section but we can keep the pay range sentence. The sentence: "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." That's somewhat boilerplate but it's part of pay disclosure; we can keep it as part of Pay section prose. We need to output only HTML fragment. Let's craft:
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.
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.
Responsibilities
- 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
Requirements
- 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
Benefits
- Annual discretionary bonus
- Long-term incentive plan
- Medical, dental, and vision insurance
- 401(k) plan
- Paid time off
- Flexible Time Off policy (for salaried/exempt employees)
- Parental Leave Program – 12 weeks paid bonding leave
- Monthly wellness reimbursement
Pay
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. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $243,700—$348,100 USD.
Schedule
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.
Check for any duplicated content: We have schedule repeated in About the role and Schedule section; but it's okay to have it in both? The instruction: do not repeat job title as heading; but repeating substantive info is allowed? Might be considered duplication but not prohibited. However we could remove the schedule sentence from About the role to avoid duplication, but the About the role paragraph includes that info; it's part of the role description. It's okay to keep it there; schedule section could be omitted if we consider it covered. But we need to include Schedule section only if posting has real specific content for it. It does: hybrid role, 2 days/week. So we need a Schedule section. It's okay to have the same info also in About the role; not prohibited. However we might want to avoid