We are seeking a visionary, execution-oriented Senior Engineering Manager, to lead our Performance ML squad. In this role, you will drive the strategy, development, and deployment of our core predictive models powering our ad buying platform.

As we continue to scale our proprietary ad-tech infrastructure, you will be the crucial bridge between advanced data science and robust software engineering. You will not only shape the technical roadmap but also act as a dedicated mentor and advocate for a team of highly skilled engineers.

What you’ll do

• Manage, mentor, and scale a high-performing team of Machine Learning and Data Engineers. Foster a culture of technical excellence, providing clear career progression paths for all team members.
• 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.

What success looks like

• Audit existing ML models and data pipelines to build a deep understanding of system behavior, performance drivers, and gaps.
• Identify and ship high-impact, production-ready improvements that deliver measurable performance or efficiency gains.
• Establish a rigorous, repeatable experimentation and deployment framework to accelerate model iteration and reliability.
• Define and execute a phased ML roadmap evolving from heuristic-based systems to advanced predictive models.
• Strengthen the team through trust-based leadership, skills assessment, targeted hiring, and structured development plans.

What you’ll bring

• 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.
• Exceptional communication skills. You must be able to distill and present complex, highly technical ML concepts to non-technical stakeholders and executive leadership effectively.
• Genuine passion for team building. You take pride in clearing roadblocks, upskilling your team, and building an environment where top-tier engineers thrive.