Director, Engineering - Personalization & Recommendations API (PNR)

Fox; India; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Fox Corporation is seeking an experienced Director, Engineering - Personalization & Recommendations API (PNR) to lead the engineering org responsible for scalable personalization and recommendations powering FOX's digital products. You will define strategy, build high-performing teams, and drive technical excellence across multiple disciplines.

You will partner with Product, Data Science, ML, Analytics, Platform Engineering, and executive leadership to deliver strategic initiatives and foster a

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 12+ years of software engineering experience, including 5+ years leading multiple engineering teams or organizations.
• Proven experience building scalable backend platforms and distributed systems serving millions of users.
• Strong experience developing personalization, recommendation, customer engagement, search, or content discovery platforms.

Responsibilities

• Lead and grow multiple engineering teams responsible for Personalization and Recommendation platforms across FOX's Digital Product ecosystem.
• Define and execute the engineering strategy and technology roadmap aligned with FOX's Digital Product vision.
• Drive architecture decisions for highly scalable, resilient, and low-latency recommendation and personalization services.
• Build a culture focused on engineering excellence, innovation, accountability, collaboration, and continuous improvement.
• Partner with Product Management, Data Science, Machine Learning, Analytics, Platform Engineering, and DevOps teams to deliver strategic business initiatives.
• Establish engineering best practices around software architecture, coding standards, testing, CI/CD, observability, security, and operational excellence.
• Lead organizational planning including hiring, talent development, succession planning, performance management, and team growth.
• Mentor Engineering Managers and Senior Engineers while building future technical leaders within the organization.
• Drive continuous improvements in engineering processes, release management, platform reliability, and developer productivity.
• Balance feature delivery with long-term platform scalability, modernization, and technical debt reduction.
• Lead the development of experimentation platforms including A/B testing capabilities to support data-driven product decisions.
• Ensure recommendation services deliver high availability, scalability, performance, and measurable business impact.
• Collaborate with cross-functional teams to integrate recommendation services across Web, Mobile, and Connected TV applications.
• Communicate engineering strategy, delivery status, risks, trade-offs, and business outcomes to executive leadership.
• Foster an inclusive engineering culture focused on ownership, innovation, customer experience, and continuous learning.

Skills

Leadership

Backend systems

Personalization & recommendations

Content discovery

Education

Bachelor's or Master's degree in Computer Science or Engineering

Job description

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

Fox Corporation Fox Corporation is home to industry-leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We combine innovative technology, deep data insights, and world-class content to shape the future of digital entertainment. Our DTC platforms are built to deliver highly personalized, scalable user experiences to millions of global users.

ABOUT THE ROLE

FOX Corporation is looking for an experienced Director, Engineering - Personalization & Recommendations API (PNR) to lead the engineering organization responsible for building scalable personalization and recommendation platforms that power content discovery and individualized user experiences across FOX's digital products. You will be responsible for defining the engineering strategy, building and scaling high-performing teams, and driving technical excellence across one of the most strategic areas of our Digital Product ecosystem.

Our Personalization & Recommendations engineering team develops and maintains intelligent platforms that deliver personalized content recommendations, user experiences, and engagement capabilities across Web, Mobile, and Connected TV applications. Working closely with Product, Data Science, Machine Learning, Analytics, and Platform Engineering teams, the organization builds highly scalable services that leverage customer behavior, content metadata, and machine learning models to provide relevant and engaging experiences for millions of users worldwide.

As the Director, Engineering - Personalization & Recommendations (PNR), you will provide strategic and technical leadership across multiple engineering teams responsible for recommendation services, personalization platforms, user profile services, experimentation frameworks, and content discovery capabilities. You will partner closely with Product Management, Data Science, Machine Learning, Analytics, Platform Engineering, and executive leadership to define technology strategy, deliver business-critical initiatives, and foster a culture of innovation, collaboration, and engineering excellence.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Lead and grow multiple engineering teams responsible for Personalization and Recommendation platforms across FOX's Digital Product ecosystem.


• Define and execute the engineering strategy and technology roadmap aligned with FOX's Digital Product vision.


• Drive architecture decisions for highly scalable, resilient, and low-latency recommendation and personalization services.


• Build a culture focused on engineering excellence, innovation, accountability, collaboration, and continuous improvement.


• Partner closely with Product Management, Data Science, Machine Learning, Analytics, Platform Engineering, and DevOps teams to deliver strategic business initiatives.


• Establish engineering best practices around software architecture, coding standards, testing, CI/CD, observability, security, and operational excellence.


• Lead organizational planning including hiring, talent development, succession planning, performance management, and team growth.


• Mentor Engineering Managers and Senior Engineers while building future technical leaders within the organization.


• Drive continuous improvements in engineering processes, release management, platform reliability, and developer productivity.


• Balance feature delivery with long-term platform scalability, modernization, and technical debt reduction.


• Lead the development of experimentation platforms including A/B testing capabilities to support data-driven product decisions.


• Ensure recommendation services deliver high availability, scalability, performance, and measurable business impact.


• Collaborate with cross-functional teams to integrate recommendation services across Web, Mobile, and Connected TV applications.


• Communicate engineering strategy, delivery status, risks, trade-offs, and business outcomes to executive leadership.


• Foster an inclusive engineering culture focused on ownership, innovation, customer experience, and continuous learning.

WHAT YOU WILL NEED

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.


• 12+ years of software engineering experience, including 5+ years leading multiple engineering teams or organizations.


• Proven experience building scalable backend platforms and distributed systems serving millions of users.


• Strong experience developing personalization, recommendation, customer engagement, search, or content discovery platfor