Lead Architect, Ads Measurement

In this role you will design and lead implementation of core mechanisms that support marketing measurement in a privacy-preserving environment. This role requires strong systems thinking, careful consideration of trade-offs, and the ability to translate complex ideas into simple, scalable platform capabilities. You will work at the intersection of system architecture, privacy engineering, and advertising ecosystem - shaping how measurement frameworks evolve at global scale. The ideal candidate possesses a deep understanding of the advertising technology landscape, a passion for data-driven measurement, a proven ability to contribute to and communicate a compelling product vision, and a deep commitment to user privacy. Design, build, and evolve scalable privacy-preserving measurement systems that achieve utility with user privacy guarantees Define and extend core platform capabilities (e.g., attribution, aggregation, and reporting) for use by large-scale ecosystem Translate architectural concepts into clear and usable platform APIs, analyze system behavior at scale to ensure robustness, efficiency, and consistency Partner with cross-functional engineering, product, policy, and legal teams to drive product & technical vision, align on requirements and ensure end-user satisfaction Clearly communicate complex technical concepts and trade-offs to diverse audiences, including senior leadership, to set direction and drive decisions Analyze trade-offs between accuracy, performance, and privacy, and guide decision-making with data and experimentation 10+ years of experience in software engineering Demonstrated ability to define and drive long-term technical strategy, influencing product direction and engineering roadmaps Proven track record of leading the design and delivery of complex, high-impact data or measurement platforms at global scale Deep expertise in distributed systems and data warehousing concepts (Java, Python, Spark, Trino, Hadoop, Cassandra, Kafka, Snowflake) Strong SQL, data analysis and visualization skills to define hypotheses, evaluate experiments, measure business impact, and communicate insights effectively Hands-on knowledge of the advertising technology ecosystem, including attribution, measurement, and optimization methodologies Exceptional communication and leadership skills, with experience influencing senior leadership and aligning cross-functional stakeholders Bachelor’s degree in Computer Science, Computer Engineering or equivalent experience Experience designing or deploying privacy-enhancing technologies such as differential privacy, federated learning, secure multi-party computation, or on-device intelligence Understanding of privacy related regulations and policies (e.g., GDPR, CCPA) and their impact on system design Participation in industry standards committees focused on privacy or advertising measurement Deep expertise in advertising measurement domains such as attribution modeling, incrementally testing, conversion measurement, or campaign optimization Experience building publicly facing platforms or APIs with a focus on usability, scalability, and ecosystem adoption

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