Senior Manager, Antibot Engineering

NielsenIQ

About The Position

The Senior Manager, Antibot Engineering leads an assigned part of NIQ’s global Antibot Engineering organization. Based in Spain, the role reports to the Director of Antibot Engineering and manages a distributed team in Western Europe and Algeria. The position contributes to global Antibot Engineering priorities rather than holding a regional mandate. This senior people-leadership role is accountable for building and developing a strong engineering team, prioritizing retailer work according to business requirements, and driving an R&D roadmap that improves Antibot capabilities’ effectiveness, durability, and scalability. The leader translates the Director’s strategy into team objectives, priorities, roadmaps, and execution plans, balancing urgent retailer needs with long-term research and development. The role works across Web Data Acquisition, Product, Engineering, Operations, and business stakeholders to turn demand into clear engineering choices and measurable outcomes. It owns team workforce and capability planning, engineering delivery and technical outcomes for the assigned scope, and clear communication of priorities, progress, capacity, dependencies, risks, and trade-offs.

Requirements

At least 8 years of experience in software engineering, platform engineering, web data acquisition, applied R&D, or a related technology field.
At least 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 influence teams outside the direct reporting line.
Professional fluency in English.

Nice To Haves

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.

Responsibilities

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 team objectives, priorities, roadmaps, and execution plans.
Balance retailer unblocking work with long-term R&D projects, platform development, solution durability, technical debt, and engineering capacity.
Establish a transparent process for prioritizing retailer work based on business requirements, customer impact, operational risk, and technical dependencies.
Partner with business, product, delivery, and operations stakeholders to clarify demand, challenge assumptions, resolve priority conflicts, and communicate trade-offs.
Ensure prioritized retailer work is planned, staffed, tracked, and delivered with clear ownership and measurable outcomes.
Lead, coach, and develop engineering managers, technical leads, and engineers across the distributed team in Western Europe and Algeria.
Set expectations, strengthen accountability, and foster an inclusive environment that supports learning, collaboration, and retention.
Own workforce and capability planning, including hiring, onboarding, succession, and development of critical Antibot expertise.
Create operating rhythms for planning, reviews, risk management, and communication.
Own and drive an R&D roadmap aligned with the technical direction set by the Director of Antibot Engineering.
Identify research and engineering opportunities to improve capability, automation, scalability, maintainability, and resilience.
Turn experiments and technical learning into investment recommendations, reusable solutions, and production adoption plans.
Provide visibility into retailer priorities, R&D progress, capacity, dependencies, risks, and trade-offs.
Support effective adoption of global platforms and reduce avoidable regional duplication.