Software Engineering Manager, Recommendation Systems

What you'll do

• Lead and develop engineers while setting team goals, roadmap, and execution priorities.
• Guide technical decisions for recommendation infrastructure, including retrieval, ranking, feature pipelines, and model serving.
• Partner across product, data science, and infrastructure; manage rollouts and experiments to improve relevance, engagement, and system efficiency.

What they ask for

• 4+ years of software engineering experience working on recommendation systems, ranking, or related machine learning infrastructure.
• 2+ years managing software engineering teams, including setting goals, providing feedback, and driving execution.
• Hands-on technical decision-making in recommendation or ranking systems, plus cross-functional collaboration and experimentation experience.
• Experience addressing technical debt, on-call burden, or scalability constraints; leading engineers through mentorship and delegation.

Nice to have

• Familiarity with distributed training, model serving infrastructure, or real-time feature computation for recommendation systems.
• Experience leading teams that shipped large-scale recommendation or personalization systems from inception to production impact.

Pay

USD $184,000/year to $257,000/year base salary; bonus and equity amounts not stated

Tools

recommendation systems, ranking, distributed training, model serving infrastructure, real-time feature computation, experimentation frameworks, feature engineering frameworks

AI focus

Builds and advances recommendation and ranking systems, including retrieval, scoring, re-ranking, model serving, and experimentation.