Engineering Manager, Ads Signals & Targeting

Proven experience leading teams that build and operate high-throughput, low-latency distributed systems in ads targeting, or similarly demanding domains Hands-on background with signal services for ad request enrichment, including real‑time and batch data integration Strong familiarity with contextual and profile-based signals and how they are used for audience and contextual targeting Experience designing and managing signals registration, governance, and curation frameworks Expertise with targeting and audience definition metadata (e.g., taxonomies, hierarchies, schemas, configuration management) Experience leading ML engineers building and operating modeled profile audiences and lookalike models, including taking these models from development through integration into production systems. Track record of building and leading high-performing engineering teams, setting technical direction, and delivering complex platform initiatives Ability to navigate ambiguity and define clear strategies in a fast-evolving ads landscape Excellent communication skills; you can explain complex systems to both technical and non-technical partners 10+ years of total experience with 3+ years of management experience in building and leading diverse software engineering teams. A strong product mindset along with experience in delivering large complex projects collaborating with a variety of cross-functional stakeholders that are technology, operations or business focused. General understanding of the advertising marketplace and landscape. Strong analytical and strategic thinking with demonstrated product sense and leadership in the working environment Familiarity with legal compliance and changing landscape of ads regulations around the world. Familiarity with ML and advertising systems that leverage data to drive optimal outcomes for the users and the business. Experience working in the CTV space and knowledge of its unique constraints