Engineering Manager
6 days ago
Description : About the role :As the Engineering Manager eCommerce Search Experience, you will lead a team of talented engineers responsible for building and optimizing our intelligent product discovery platform. Youll shape how scientists,lab managers find products by improving search relevance, ranking, personalization, and end-to-end search performance. This role is ideal for a technical leader passionate about large-scale search systems, AI/ML-driven ranking, and building exceptional customer experiences in eCommerce.Key Responsibilities :Leadership & Strategy : - Lead and grow a team of backend, and FE engineers focused on Search, Ranking, and Product Discovery. - Collaborate with Product, Data Engineering, and UX teams to define the long-term search roadmap. - Drive architecture and design discussions for scalable and intelligent search systems. - Foster a culture of high performance, collaboration, and continuous improvement. Technical Delivery : - Oversee end-to-end design, development, and optimization of search pipelines (indexing, query processing, ranking). - Own search KPIs including relevance, latency, clickthrough rate, and conversion metrics. - Implement experimentation frameworks (A/B testing, offline evaluation) to measure search quality improvements. - Guide migration or scaling of Elasticsearch/OpenSearch infrastructure and ensure data freshness, accuracy, and resilience.Stakeholder Management : - Collaborate cross-functionally with product managers, UX designers, and marketplace stakeholders. - Communicate technical trade-offs, project risks, and roadmap progress effectively to business leadership. - Partner with analytics teams to translate user behavior data into actionable search insights.Must Have : - 8-12 years of total engineering experience, including 3+ years in a people management and technical leadership role.- Strong technical foundation in search, ranking, and retrieval systems (Elasticsearch, OpenSearch, or similar).- Proven experience in eCommerce search or large-scale catalog discovery systems.- Proven experience in tracking sprint health, predictability, and delivery.- Hands-on experience with Python/Java and modern backend frameworks.- Experience designing data pipelines for indexing, enrichment, and query understanding.- Understanding of search relevance tuning, synonyms, embeddings, re-ranking, and personalization.- Strong architectural skills ability to design scalable, high-availability search systems.- Excellent communication, mentoring, and stakeholder management skills.- Exposure to LLMs or vector search (semantic/embedding search) for product discovery.- Experience with GCP, AWS, Kubernetes, and CI/CD for production-grade deployments. (ref:hirist.tech)
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