Teams at Attain

Lead engineering for a portfolio of consumer mobile apps, overseeing architecture, hands-on development, shared backend platforms, and reusable components. Manage a small team of mobile and backend engineers while partnering with product leadership on roadmap and prioritization. Use retention and engagement data to guide investment, represent the data apps business with executives, and improve development leverage through shared platforms and AI-assisted engineering.

Build and operate production machine learning systems and MLOps infrastructure for financial services. Responsibilities include developing feature and training pipelines, model-serving systems, CI/CD, automated retraining, monitoring, alerting, observability, and progressive model rollouts in GCP and Kubernetes. The role partners with data scientists and business teams to improve reliability, performance, scalability, cost efficiency, and deployment velocity while applying AI coding agents to infrastructure and ML workflows.

Own the strategy, roadmap, scientific integrity, and commercial trajectory of Attain’s permissioned data products. Lead data product managers and execution teams responsible for feeds, pipelines, QA, and vendors. Partner with data science to productize marketing science, causal measurement, predictive models, and population projections into licensed feeds and scores. Drive revenue, adoption, methodology quality, privacy compliance, internal customer satisfaction, and executive communication.