Cognitiv Benefits Overview

Own and scale machine learning data infrastructure for advertising systems, including high-throughput feature pipelines, real-time streaming, embeddings, feature serving, and deep learning model training pipelines. Improve latency, reliability, throughput, monitoring, testing, and CI/CD while partnering with data science, modeling, product, and infrastructure teams. The role involves designing resilient distributed systems and delivering measurable improvements to model performance and platform scalability.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.

Own the Custom Algorithms product end to end, including roadmap, model quality, advertiser launches, diagnostics, and scalable delivery. Partner with data science, engineering, sales, and account management to improve campaign performance, accelerate launches, and drive revenue. Translate machine-learning behavior into commercial outcomes, author product requirements, investigate underperforming campaigns, and lead cross-functional stakeholders. The role requires strong ML literacy, commercial product ownership, analytical independence, and excellent communication.