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