Engineering Manager

Key Responsibilities:

? Leadership & Strateg

y? 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 Deliver

y? 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 Managemen

t? 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 Hav

e:
? 8-12 years of total engineering experience, including 3+ years in a people management and technical leadership ro

le.? Strong technical foundation in search, ranking, and retrieval systems (Elasticsearch, OpenSearch, or simila

r).? Proven experience in eCommerce search or large-scale catalog discovery syste

ms.? Proven experience in tracking sprint health, predictability, and delive

ry.? Hands-on experience with Python/Java and modern backend framewor

ks.? Experience designing data pipelines for indexing, enrichment, and query understandi

ng.? Understanding of search relevance tuning, synonyms, embeddings, re-ranking, and personalizati

on.? Strong architectural skills ability to design scalable, high-availability search syste

ms.? Excellent communication, mentoring, and stakeholder management skil

ls.? Exposure to LLMs or vector search (semantic/embedding search) for product discove

ry.? Experience with GCP, AWS, Kubernetes, and CI/CD for production-grade deploymen

ts.
Good to H

ave:
? Knowledge of recommendation systems and personalized ranking mo

dels.? Familiarity with analytics-driven decision making (e.g., search dashboards, clickstream analysis). Success Me

trics? Improved Search Relevance Score (Click-Through Rate, conversion, engagem

ent).? Reduced Search Latency and improved scalabi

lity.? Increased scientist satisfaction and time-to-product effici

ency.? Team health: retention, growth, and delivery predictability. Our ben

efits? Working for a mission-driven business with a meaningful challenge with a positive impact on the scientific comm

unity? A clear growth perspe

ctive? A learning and development budget to enable your ambitions to grow professionally in your

field? A professional and dynamic team with a global vision and mindset ? An exciting, international working environment - we have more than 40 nationali

ties!? We've got your health benefits (medical, dental, and vi

sion)? Hybrid Work with 3 days work from office in our HSR Layout, Bangalore o

ffice? Staying healthy and fit is essential - we cover a part of your gym member

ship!? Holidays and flexibl

e PTO? Paid family

leave? A budget to improve your home office enviro