At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Job DescriptionGracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. Our advanced entertainment metadata and connected IDs enable seamless content navigation and discovery, helping consumers connect to the content they love and explore new favorites. With a global presence, Gracenote delivers both global and localized video, audio, automotive & sports content solutions across the Americas, Asia-Pacific, Europe, the Middle East, and Africa. Some of the biggest names who trust Gracenote are Jio, Amazon, NBC, BMW, Mercedes-Benz, Samsung, Sony etc.
We are seeking a highly skilled and experienced Senior Engineering manager to join our innovative team. The ideal candidate will bring deep expertise in designing and implementing scalable, high-performance systems, particularly in the domains of media data processing, web crawling, and metadata curation and serving. This role involves technical leadership, people management, engineering and operational excellence and collaboration across teams to deliver impactful solutions to media companies and other stakeholders.
What is in it for you ?
We are setting ourselves to modernise the metadata processing pipelines through platformization and build intelligent solutions using AI and data science for Video, Audio, Automotive and Sports.
Be a part of high impact and visibility projects which are going to be key revenue drivers for Gracenote.
Contribute to the next-gen metadata platforms which combine technology, data science and innovation.
Key Responsibilities:
They are responsible for building high-performing agile teams
They set the direction for the team and support people in their career growth. They are responsible for talent segregation and succession planning
Provide technical leadership to identify and define the right component/system abstractions/capabilities for current/future product/platform tasks
Drive strategy and vision in collaboration with Product
Build scalable and reliable technology solutions at a rapid pace
One of the key responsibilities of an SEM is to understand business goals and contribute to product strategy and take accountability for moving key business metrics
They are also responsible for driving execution using Agile methodologies by removing impediments along the way with the big picture in mind
Strong expertise in one or more programming languages such as Java, Python, Golang
Experience with databases like Postgres, MySQL, MongoDB, Cassandra, and caching layers such as Redis or Memcached.
Expertise in designing and implementing diverse data delivery solutions, including real-time streaming architectures, efficient batch processing systems, and robust API delivery mechanisms.
Proficiency in building RESTful APIs and working with GraphQL to serve metadata efficiently.
Knowledge of cloud ecosystems (AWS, Azure, GCP) and cloud-native architectures for scalable deployments.
Exposure to NFR concepts like availability, recoverability, performance & scalability.
Exposure to different design & architecture patterns.
Demonstrated ability to design distributed systems with high availability and fault tolerance.
Understanding of software development methodologies (Agile, Scrum, etc.).
Web Crawling: experience with web crawling frameworks such as Apache Nutch, Scrapy, or custom crawlers using Java/JavaScript.
Experience with big data frameworks like Apache Spark, Hadoop, or Flink for processing and transforming large-scale datasets.
Expertise in designing systems for curated metadata storage, search, and delivery using relational and NoSQL databases.
Experience leading engineers providing feedback, recognizing individual strengths, and promoting professional growth
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of software development experience, including 2+ years in people management role
Strong understanding of algorithms, data structures, and system design principles.
Experience in delivering end-to-end solutions for web crawling, data processing, and metadata curation.
Excellent problem-solving skills and the ability to work effectively in a fast-paced environment.
Strong communication skills with the ability to convey complex technical concepts to diverse audiences.
Preferred Qualifications:
Experience in using GenAI tools for code creation, video and voice data processing.
Experience with Natural Language Processing (NLP) and Machine Learning (ML) techniques to analyze and extract insights from large-scale datasets
Understanding of security best practices for data protection and system integrity.
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 10+ years of software development experience
- 2+ years of experience in a people management role
- Strong understanding of algorithms, data structures, and system design principles
- Experience delivering end-to-end solutions for web crawling, data processing, and metadata curation
- Strong expertise in at least one programming language, such as Java, Python, or Golang
- Experience with relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, or Cassandra
- Experience designing real-time streaming, batch processing, and API delivery systems
- Proficiency building RESTful APIs and working with GraphQL
- Knowledge of AWS, Azure, or Google Cloud Platform and cloud-native architectures
- Experience designing distributed systems with high availability and fault tolerance
- Experience with web crawling frameworks such as Apache Nutch, Scrapy, or custom crawlers
- Experience with big data frameworks such as Apache Spark, Hadoop, or Flink
- Experience leading engineers, providing feedback, and promoting professional growth
- Excellent problem-solving skills in a fast-paced environment
- Strong communication skills for conveying complex technical concepts to diverse audiences
- Experience using Generative AI tools for code creation or video and voice data processing
- Experience with Natural Language Processing and Machine Learning techniques
- Understanding of security best practices for data protection and system integrity
Nielsen Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nielsen and has not been reviewed or approved by Nielsen.
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Parental & Family Support — Paid parental leave is described as generous for all parents, with birthing parents receiving substantially longer time, and the program is complemented by adoption, fertility, and surrogacy support. Employer-verified entries and company communications consistently highlight family benefits as a standout.
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Leave & Time Off Breadth — Paid time off is considered solid, with some teams using flexible or unlimited PTO models and additional offerings like paid volunteer time. These time-away policies often contribute meaningfully to work-life balance.
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Wellbeing & Lifestyle Benefits — Smart Work flexibility, an Employee Assistance Program, and broader well-being initiatives are emphasized as part of a holistic package. These elements are frequently cited as strengths that enhance day-to-day experience.
Nielsen Insights
What We Do
Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. An S&P 500 company, Nielsen (NYSE: NLSN) operates around the world in more than 55 countries.






