Senior Manager, Engineering

6+ years of experience in Machine Learning, Data Science, with 5+ years specifically in an engineering management role overseeing ML/Data teams.

Proven track record of building, deploying, and maintaining models at scale, ideally within ad-tech.

Deep understanding of modern ML frameworks, data architecture, and cloud ecosystems (e.g., Google Cloud Platform).

While you won't be coding daily, you need the technical chops to guide architectural decisions and review system designs.

You must be able to distill and present complex, highly technical ML concepts to non-technical stakeholders and executive leadership effectively.

100% remote within the US

Define the ML roadmap in alignment with broader product and engineering goals.

Translate complex business challenges into scalable, actionable data solutions.

Oversee the end-to-end lifecycle of ML models from robust data pipelining and feature engineering to deployment, monitoring, and iteration in high-volume, low-latency environments.

Partner tightly with Software Development teams, Program Management, and executive leadership.

Bring strong organizational skills to streamline workflows, manage technical debt, ensure data quality, and guarantee the reliable, on-time delivery of data products.