Data & AI Product Manager
for section headings. Use - for any list of duties/requirements/benefits, and
for prose. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also remove the equal opportunity statement and privacy policy etc. Also remove the "Hiring Rate Minimum ..."? That is pay info, we need to include Pay section if posting actually states them. It does state hiring rate min and max. So we should include a Pay section with that info. Also Benefits? The posting mentions benefits generically: "robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings." That's somewhat generic but still mentions benefits. Should we include Benefits section? The rule: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. The posting does state benefits generically but it's still content. It says "robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings." That's specific enough? It's not super detailed but it's still stating benefits. I'd include Benefits section with that sentence.
Schedule? Not mentioned. So no Schedule section.
We need to preserve all substantive information. So we need to include Who We Are, Team, Location, Employment type maybe as a short paragraph. The Opportunity, What You'll Own (with sub-bullets?), What Success Looks Like, Required, Preferred, Pay, Benefits.
We need to format using
for section headings. Use - for any list of duties/requirements/benefits. For prose use
. For lists like responsibilities we need to convert to
- . The "What You’ll Own" includes bullet-like sentences separated by periods. We can break into list items.
Similarly "Required" and "Preferred" are lists.
We need to avoid duplication. Also remove the duplicated lines like "Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time". We'll combine into a paragraph.
Let's extract content:
Who We Are: TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality.
Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time
The Opportunity: TKO is building a trusted data and AI foundation that helps its brands and enterprise functions understand the business, make better decisions, and act with greater speed and precision. The Data & AI Product Manager will own a portfolio of data products and capabilities that support On Location, TKO’s sports and entertainment hospitality business, across commercial, customer, event, marketing, finance, sales, and operational use cases. This is a hands-on product management role for someone who can move comfortably between business outcomes and technical implementation. You will translate complex needs into reusable data products, guide TKO engineering and data teams through delivery, and make sure the capabilities we launch are adopted, trusted, measurable, and continuously improved. The role sits within DAPS, the cross-TKO Data & AI Products & Services organization, and partners closely with the On Location technology organization. You will help enable reporting and decision-making across a changing portfolio of major events and businesses - including NCAA, Super Bowl, UFC, WWE, World Cup, and other On Location programs - while building patterns that can be reused across TKO.
What You’ll Own: Core data products and decision capabilities Own the product direction, roadmap, backlog, and lifecycle for On Location Base data products, including customer and transaction data, commercial reporting, marketing and audience activation, lead scoring, attribution, commissions, and operational analytics. Oversee development of reusable data products on Snowflake, 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 that solve real business problems and turn event-specific needs into reusable patterns where appropriate. Product discovery and prioritization Act as a trusted advisor to stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership. Shape unmet needs into opportunities with a clear user, decision, action, value hypothesis, success measure, dependencies, and stop/reconsider criteria. Manage a visible multi-horizon portfolio, making tradeoffs across business value, urgency, risk, reuse, delivery confidence, capacity, and displaced work. Delivery and execution Convert product intent into clear Jira epics, stories, acceptance criteria, data contracts, measures, and decision records. Partner day-to-day with TKO data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams to move work from discovery through production. Keep dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership visible.
What Success Looks Like: In this role, success is not measured by the number of projects launched. It is measured by whether the business can reliably use the products you own to make better decisions and move faster. Business stakeholders can clearly explain what the product does, who owns it, and when to use it. Data products and Omni assets are adopted, reusable, documented, and trusted. Engineering teams have clear priorities, well-shaped work, and fewer avoidable surprises. Event-critical reporting and data flows are ready when the business needs them and are improved after each cycle. Product health is visible through adoption, quality, reliability, latency, support signals, and outcome measures. Repeated requests are converted into shared enterprise capabilities when reuse creates leverage. Stakeholders know what is in flight, what is next, what is blocked, and what is intentionally not being done.
Required: What you’ll bring 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. A strong technical foundation in at least one of the following: data engineering, software engineering, data science, analytics engineering, or data analysis - with the ability to reason credibly about the others. 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 such as 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: you keep commitments visible, follow up on dependencies, surface risks early, and close loops. Excellent written and verbal communication, including the ability to explain technical tradeoffs and data limitations to senior business leaders. Experience balancing multiple concurrent priorities in an environment with changing requirements, hard deadlines, and cross-functional dependencies.
Preferred: A career path that began in engineering, data science, data analysis, analytics engineering, or another technical discipline before transitioning into product management. 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. Experience with customer 360, event or behavioral data, audience activation, attribution, lead scoring, marketing analytics, commissions, or commercial reporting. Experience delivering products for live events, entertainment, sports, travel, hospitality, e-commerce, or another time-sensitive, customer-facing industry. Experience working with governance, privacy, security, PII, data-sharing agreements, model risk, or responsible AI requirements. Familiarity with Jira, agile delivery practices, product discovery, experimentation, and portfolio or product-operations cadences. Genuine enthusiasm for entertainment, sports, live events, and the brands that make TKO unique.
Pay: Hiring Rate Minimum $99,450 annually (minimum will not fall below the applicable State/local minimum salary thresholds) Hiring Rate Maximum $132,600 annually
Benefits: TKO strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.
We should remove the equal opportunity statement etc.
Now produce HTML fragment with sections.
We need to decide which headings: About the role? Not present. Could use "Who We Are", "Team", "The Opportunity", "What You’ll Own", "What Success Looks Like", "Required", "Preferred", "Pay", "Benefits". Use
for each.
Inside each section, we need to put content. For lists, use - . For prose,
.
We need to decide what constitutes a list. For "Who We Are" it's prose. For "Team" maybe a short paragraph.
For "The Opportunity": prose.
For "What You’ll Own": there are multiple bullet-like sentences. We'll break into list items.
For "What Success Looks Like": prose.
For "Required": list items.
For "Preferred": list items.
For "Pay": maybe a short paragraph with the two lines.
For "Benefits": paragraph.
Let's craft.
Be careful to preserve all substantive information. Ensure we don't lose any details.
Let's extract each piece exactly.
Who We Are paragraph: "TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality."
Team paragraph: "Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time"
The Opportunity paragraph: "TKO is building a trusted data and AI foundation that helps its brands and enterprise functions understand the business, make better decisions, and act with greater speed and precision. The Data & AI Product Manager will own a portfolio of data products and capabilities that support On Location, TKO’s sports and entertainment hospitality business, across commercial, customer, event, marketing, finance, sales, and operational use cases. This is a hands-on product management role for someone who can move comfortably between business outcomes and technical implementation. You will translate complex needs into reusable data products, guide TKO engineering and data teams through delivery, and make sure the capabilities we launch are adopted, trusted, measurable, and continuously improved. The role sits within DAPS, the cross-TKO Data & AI
for prose. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also remove the equal opportunity statement and privacy policy etc. Also remove the "Hiring Rate Minimum ..."? That is pay info, we need to include Pay section if posting actually states them. It does state hiring rate min and max. So we should include a Pay section with that info. Also Benefits? The posting mentions benefits generically: "robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings." That's somewhat generic but still mentions benefits. Should we include Benefits section? The rule: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. The posting does state benefits generically but it's still content. It says "robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings." That's specific enough? It's not super detailed but it's still stating benefits. I'd include Benefits section with that sentence. Schedule? Not mentioned. So no Schedule section. We need to preserve all substantive information. So we need to include Who We Are, Team, Location, Employment type maybe as a short paragraph. The Opportunity, What You'll Own (with sub-bullets?), What Success Looks Like, Required, Preferred, Pay, Benefits. We need to format using
for section headings. Use - for any list of duties/requirements/benefits. For prose use
. For lists like responsibilities we need to convert to
- . The "What You’ll Own" includes bullet-like sentences separated by periods. We can break into list items.
Similarly "Required" and "Preferred" are lists.
We need to avoid duplication. Also remove the duplicated lines like "Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time". We'll combine into a paragraph.
Let's extract content:
Who We Are: TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality.
Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time
The Opportunity: TKO is building a trusted data and AI foundation that helps its brands and enterprise functions understand the business, make better decisions, and act with greater speed and precision. The Data & AI Product Manager will own a portfolio of data products and capabilities that support On Location, TKO’s sports and entertainment hospitality business, across commercial, customer, event, marketing, finance, sales, and operational use cases. This is a hands-on product management role for someone who can move comfortably between business outcomes and technical implementation. You will translate complex needs into reusable data products, guide TKO engineering and data teams through delivery, and make sure the capabilities we launch are adopted, trusted, measurable, and continuously improved. The role sits within DAPS, the cross-TKO Data & AI Products & Services organization, and partners closely with the On Location technology organization. You will help enable reporting and decision-making across a changing portfolio of major events and businesses - including NCAA, Super Bowl, UFC, WWE, World Cup, and other On Location programs - while building patterns that can be reused across TKO.
What You’ll Own: Core data products and decision capabilities Own the product direction, roadmap, backlog, and lifecycle for On Location Base data products, including customer and transaction data, commercial reporting, marketing and audience activation, lead scoring, attribution, commissions, and operational analytics. Oversee development of reusable data products on Snowflake, 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 that solve real business problems and turn event-specific needs into reusable patterns where appropriate. Product discovery and prioritization Act as a trusted advisor to stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership. Shape unmet needs into opportunities with a clear user, decision, action, value hypothesis, success measure, dependencies, and stop/reconsider criteria. Manage a visible multi-horizon portfolio, making tradeoffs across business value, urgency, risk, reuse, delivery confidence, capacity, and displaced work. Delivery and execution Convert product intent into clear Jira epics, stories, acceptance criteria, data contracts, measures, and decision records. Partner day-to-day with TKO data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams to move work from discovery through production. Keep dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership visible.
What Success Looks Like: In this role, success is not measured by the number of projects launched. It is measured by whether the business can reliably use the products you own to make better decisions and move faster. Business stakeholders can clearly explain what the product does, who owns it, and when to use it. Data products and Omni assets are adopted, reusable, documented, and trusted. Engineering teams have clear priorities, well-shaped work, and fewer avoidable surprises. Event-critical reporting and data flows are ready when the business needs them and are improved after each cycle. Product health is visible through adoption, quality, reliability, latency, support signals, and outcome measures. Repeated requests are converted into shared enterprise capabilities when reuse creates leverage. Stakeholders know what is in flight, what is next, what is blocked, and what is intentionally not being done.
Required: What you’ll bring 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. A strong technical foundation in at least one of the following: data engineering, software engineering, data science, analytics engineering, or data analysis - with the ability to reason credibly about the others. 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 such as 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: you keep commitments visible, follow up on dependencies, surface risks early, and close loops. Excellent written and verbal communication, including the ability to explain technical tradeoffs and data limitations to senior business leaders. Experience balancing multiple concurrent priorities in an environment with changing requirements, hard deadlines, and cross-functional dependencies.
Preferred: A career path that began in engineering, data science, data analysis, analytics engineering, or another technical discipline before transitioning into product management. 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. Experience with customer 360, event or behavioral data, audience activation, attribution, lead scoring, marketing analytics, commissions, or commercial reporting. Experience delivering products for live events, entertainment, sports, travel, hospitality, e-commerce, or another time-sensitive, customer-facing industry. Experience working with governance, privacy, security, PII, data-sharing agreements, model risk, or responsible AI requirements. Familiarity with Jira, agile delivery practices, product discovery, experimentation, and portfolio or product-operations cadences. Genuine enthusiasm for entertainment, sports, live events, and the brands that make TKO unique.
Pay: Hiring Rate Minimum $99,450 annually (minimum will not fall below the applicable State/local minimum salary thresholds) Hiring Rate Maximum $132,600 annually
Benefits: TKO strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.
We should remove the equal opportunity statement etc.
Now produce HTML fragment with sections.
We need to decide which headings: About the role? Not present. Could use "Who We Are", "Team", "The Opportunity", "What You’ll Own", "What Success Looks Like", "Required", "Preferred", "Pay", "Benefits". Use
for each.
Inside each section, we need to put content. For lists, use - . For prose,
.
We need to decide what constitutes a list. For "Who We Are" it's prose. For "Team" maybe a short paragraph.
For "The Opportunity": prose.
For "What You’ll Own": there are multiple bullet-like sentences. We'll break into list items.
For "What Success Looks Like": prose.
For "Required": list items.
For "Preferred": list items.
For "Pay": maybe a short paragraph with the two lines.
For "Benefits": paragraph.
Let's craft.
Be careful to preserve all substantive information. Ensure we don't lose any details.
Let's extract each piece exactly.
Who We Are paragraph: "TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality."
Team paragraph: "Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time"
The Opportunity paragraph: "TKO is building a trusted data and AI foundation that helps its brands and enterprise functions understand the business, make better decisions, and act with greater speed and precision. The Data & AI Product Manager will own a portfolio of data products and capabilities that support On Location, TKO’s sports and entertainment hospitality business, across commercial, customer, event, marketing, finance, sales, and operational use cases. This is a hands-on product management role for someone who can move comfortably between business outcomes and technical implementation. You will translate complex needs into reusable data products, guide TKO engineering and data teams through delivery, and make sure the capabilities we launch are adopted, trusted, measurable, and continuously improved. The role sits within DAPS, the cross-TKO Data & AI
. For lists like responsibilities we need to convert to
- . The "What You’ll Own" includes bullet-like sentences separated by periods. We can break into list items.
Similarly "Required" and "Preferred" are lists.
We need to avoid duplication. Also remove the duplicated lines like "Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time". We'll combine into a paragraph.
Let's extract content:
Who We Are: TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality.
Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time
The Opportunity: TKO is building a trusted data and AI foundation that helps its brands and enterprise functions understand the business, make better decisions, and act with greater speed and precision. The Data & AI Product Manager will own a portfolio of data products and capabilities that support On Location, TKO’s sports and entertainment hospitality business, across commercial, customer, event, marketing, finance, sales, and operational use cases. This is a hands-on product management role for someone who can move comfortably between business outcomes and technical implementation. You will translate complex needs into reusable data products, guide TKO engineering and data teams through delivery, and make sure the capabilities we launch are adopted, trusted, measurable, and continuously improved. The role sits within DAPS, the cross-TKO Data & AI Products & Services organization, and partners closely with the On Location technology organization. You will help enable reporting and decision-making across a changing portfolio of major events and businesses - including NCAA, Super Bowl, UFC, WWE, World Cup, and other On Location programs - while building patterns that can be reused across TKO.
What You’ll Own: Core data products and decision capabilities Own the product direction, roadmap, backlog, and lifecycle for On Location Base data products, including customer and transaction data, commercial reporting, marketing and audience activation, lead scoring, attribution, commissions, and operational analytics. Oversee development of reusable data products on Snowflake, 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 that solve real business problems and turn event-specific needs into reusable patterns where appropriate. Product discovery and prioritization Act as a trusted advisor to stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership. Shape unmet needs into opportunities with a clear user, decision, action, value hypothesis, success measure, dependencies, and stop/reconsider criteria. Manage a visible multi-horizon portfolio, making tradeoffs across business value, urgency, risk, reuse, delivery confidence, capacity, and displaced work. Delivery and execution Convert product intent into clear Jira epics, stories, acceptance criteria, data contracts, measures, and decision records. Partner day-to-day with TKO data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams to move work from discovery through production. Keep dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership visible.
What Success Looks Like: In this role, success is not measured by the number of projects launched. It is measured by whether the business can reliably use the products you own to make better decisions and move faster. Business stakeholders can clearly explain what the product does, who owns it, and when to use it. Data products and Omni assets are adopted, reusable, documented, and trusted. Engineering teams have clear priorities, well-shaped work, and fewer avoidable surprises. Event-critical reporting and data flows are ready when the business needs them and are improved after each cycle. Product health is visible through adoption, quality, reliability, latency, support signals, and outcome measures. Repeated requests are converted into shared enterprise capabilities when reuse creates leverage. Stakeholders know what is in flight, what is next, what is blocked, and what is intentionally not being done.
Required: What you’ll bring 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. A strong technical foundation in at least one of the following: data engineering, software engineering, data science, analytics engineering, or data analysis - with the ability to reason credibly about the others. 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 such as 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: you keep commitments visible, follow up on dependencies, surface risks early, and close loops. Excellent written and verbal communication, including the ability to explain technical tradeoffs and data limitations to senior business leaders. Experience balancing multiple concurrent priorities in an environment with changing requirements, hard deadlines, and cross-functional dependencies.
Preferred: A career path that began in engineering, data science, data analysis, analytics engineering, or another technical discipline before transitioning into product management. 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. Experience with customer 360, event or behavioral data, audience activation, attribution, lead scoring, marketing analytics, commissions, or commercial reporting. Experience delivering products for live events, entertainment, sports, travel, hospitality, e-commerce, or another time-sensitive, customer-facing industry. Experience working with governance, privacy, security, PII, data-sharing agreements, model risk, or responsible AI requirements. Familiarity with Jira, agile delivery practices, product discovery, experimentation, and portfolio or product-operations cadences. Genuine enthusiasm for entertainment, sports, live events, and the brands that make TKO unique.
Pay: Hiring Rate Minimum $99,450 annually (minimum will not fall below the applicable State/local minimum salary thresholds) Hiring Rate Maximum $132,600 annually
Benefits: TKO strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.
We should remove the equal opportunity statement etc.
Now produce HTML fragment with sections.
We need to decide which headings: About the role? Not present. Could use "Who We Are", "Team", "The Opportunity", "What You’ll Own", "What Success Looks Like", "Required", "Preferred", "Pay", "Benefits". Use
for each. Inside each section, we need to put content. For lists, use
- . For prose,
. We need to decide what constitutes a list. For "Who We Are" it's prose. For "Team" maybe a short paragraph. For "The Opportunity": prose. For "What You’ll Own": there are multiple bullet-like sentences. We'll break into list items. For "What Success Looks Like": prose. For "Required": list items. For "Preferred": list items. For "Pay": maybe a short paragraph with the two lines. For "Benefits": paragraph. Let's craft. Be careful to preserve all substantive information. Ensure we don't lose any details. Let's extract each piece exactly. Who We Are paragraph: "TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality." Team paragraph: "Team: Data & AI Products & Services (DAPS) Reports to: Lead Data & AI Product Manager Location: Remote, New York, Raleigh, Stamford Employment type: Full-time" The Opportunity paragraph: "TKO is building a trusted data and AI foundation that helps its brands and enterprise functions understand the business, make better decisions, and act with greater speed and precision. The Data & AI Product Manager will own a portfolio of data products and capabilities that support On Location, TKO’s sports and entertainment hospitality business, across commercial, customer, event, marketing, finance, sales, and operational use cases. This is a hands-on product management role for someone who can move comfortably between business outcomes and technical implementation. You will translate complex needs into reusable data products, guide TKO engineering and data teams through delivery, and make sure the capabilities we launch are adopted, trusted, measurable, and continuously improved. The role sits within DAPS, the cross-TKO Data & AI
- . For prose,