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)