Additionalinformation

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Companydescription

Company Description

At NIQ Digital shelf, scraping isn’t just about collecting data, it’s about outsmarting the obstacles that stand in the way of visibility. Every day, we process tens of billions of data points from thousands of sources, both web and mobile, and transform them into actionable insights for the world’s top retailers and brands.

You'll join a team of 60+ scrapers, engineers, analysts, and data lovers from across the globe. As part of our scraping and R&D team, you’ll have space to experiment, push boundaries, and bring bold ideas to life. You’ll collaborate closely with Customer Success, Operations, and Data to ensure we extract high-quality, actionable data — fast and at scale.

Jobdescription

Job Description

The Role

The Senior Manager, Antibot Engineering takes leadership responsibility for a defined part of the Antibot Engineering organization. Based in Spain and reporting to the Director of Antibot Engineering, this leader manages a distributed team located in Western Europe and Algeria. The geographic footprint describes where the team is located, not a regional mandate: the role contributes to the global Antibot Engineering mission and priorities.

This is a senior people-leadership role with three core accountabilities: building and developing a strong engineering team; prioritizing retailer work in line with business requirements; and driving an R&D roadmap that improves the effectiveness, durability, and scalability of Antibot capabilities. The leader works across Web Data Acquisition, Product, Engineering, Operations, and business stakeholders to turn demand into clear engineering choices and measurable outcomes.

What You Will Do

Lead part of the global Antibot Engineering organization

• Own the people, delivery, and technical outcomes of an assigned part of the global Antibot Engineering organization.
• Translate the Director of Antibot Engineering’s strategy into clear team objectives, priorities, roadmaps, and execution plans.
• Balance retailer unblocking and long-term R&D projects.
• Provide clear visibility into retailer priorities, R&D progress, capacity, dependencies, risks, and trade-offs.

Drive retailer prioritization and engineering execution

• Establish a transparent prioritization process that converts business requirements, customer impact, operational risk, and technical dependencies into an executable retailer backlog.
• Partner with business, product, delivery, and operations stakeholders to clarify demand, challenge assumptions, resolve priority conflicts, and communicate trade-offs.
• Ensure prioritized retailer unblocking work is planned, staffed, tracked, and delivered with clear ownership and measurable outcomes.
• Balance urgent retailer needs with platform development, solution durability, technical debt, and longer-term engineering capacity.

Lead, develop, and retain the team

• Lead, coach, and develop engineering managers, technical leads, and engineers across the distributed team in Western Europe and Algeria.
• Set clear expectations, strengthen accountability, and create an inclusive environment that supports learning, collaboration, and retention.
• Own team workforce and capability planning, including hiring, onboarding, succession, and development of critical Antibot expertise.
• Create effective operating rhythms for planning, reviews, risk management, and communication.

Drive the Antibot R&D roadmap

• Own and drive an R&D roadmap for the assigned Antibot scope, aligned with the technical direction set by the Director of Antibot Engineering.
• Identify research and engineering opportunities that improve capability, automation, scalability, maintainability, and resilience.
• Turn experiments and technical learning into clear investment recommendations, reusable solutions, and production adoption plans.

Qualifications

Required Qualifications

• 8+ years of experience in software engineering, platform engineering, web data acquisition, applied R&D, or a related technology field.
• 3+ years of people-management experience, including leadership of experienced engineers, technical leads, managers, or multiple teams.
• Demonstrated accountability for engineering delivery and production services in a complex, high-change environment.
• Experience with distributed systems, cloud platforms, automation, observability, incident management, and engineering quality practices.
• Strong organizational leadership, prioritization, stakeholder management, and executive communication skills.
• Ability to lead across countries and cultures and to influence teams outside the direct reporting line.
• Professional fluency in English.

Preferred Qualifications

• Experience with web scraping, reverse engineering, or large-scale data collection.
• Experience leading geographically distributed engineering teams in Europe and/or North Africa.
• Knowledge of antibot solutions, CDN or WAF.
• Experience driving operating-model change, automation, platform adoption, or engineering transformation.

Success Measures

• A capable, engaged, and accountable engineering team with clear goals, development plans, and succession coverage.
• Retailer priorities that are traceable to business requirements and delivered with transparent trade-offs and predictable execution.
• An R&D roadmap that produces reusable improvements in Antibot capability, automation, durability, and scale.
• Clear ownership, metrics, risks, dependencies, and stakeholder communication.
• Effective adoption of global platforms and reduction of avoidable regional duplication.