Engineering Manager, Cross Retailer Search (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Cross Retailer Search in the United States.

In this role, you will lead a high-impact engineering team responsible for building and scaling the discovery engine that connects customers to millions of products across multiple retailers. You will drive the strategy, execution, and technical roadmap for ranking and retrieval systems while partnering closely with product managers, applied scientists, and data scientists. This role emphasizes low-latency, reliable, and scalable solutions that improve customer engagement, transaction value, and retention. You will mentor and grow a team of engineers, champion engineering best practices, and introduce advanced techniques such as multi-task learning, personalization, and generative AI. Your work will directly influence both the customer experience and retailer visibility, in a fast-paced, collaborative, and innovative environment.

Accountabilities:

• Lead and grow a team of 7+ engineers, providing coaching, clear goals, and performance development opportunities.
• Own the technical roadmap for cross-retailer ranking and retrieval systems, ensuring low-latency, high-availability services.
• Partner with Product, Applied Science, and Data Science teams to define success metrics, design experiments, and deliver measurable business impact.
• Advance production ML systems, including feature pipelines, candidate generation, vector search, and re-ranking.
• Implement multi-task learning, personalization, and generative AI signals to optimize relevance and user experience.
• Champion engineering excellence, including code quality, incident response, privacy, and responsible AI practices.

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 7+ years of experience building large-scale backend and/or ML-powered systems for search, recommendation, or ads, including 2+ years managing a team of 5+ engineers.
• Proficiency in Python, Java, or Go, with strong knowledge of distributed systems and cloud infrastructure (AWS or GCP).
• Hands-on experience with production ranking/retrieval stacks (Elasticsearch/OpenSearch or vector search), feature/data pipelines (Kafka, Spark, Flink), and online experimentation (A/B testing).
• Proven ability to drive measurable business outcomes (CTR, conversion, revenue/GTV) through data-driven product and engineering decisions.
• Preferred: Advanced degree in Computer Science, Machine Learning, or related field; experience with LLMs or generative signals; expertise in marketplace-scale low-latency search systems; strong hiring and team-building experience; familiarity with privacy and responsible AI practices.