Engineering Manager - eCommerce Search

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.