Development and Technology Manager
1 week ago
Function: Data Platform & Personalization
Reimagine travel personalization at platform scale across Flights, Hotels, Holidays, Trains, and Activities.
Own end-to-end personalization charter: engineering, data science, MLOps, and experimentation.
Collaborate with ContextOS, Myra, and Experience Hub under the 'One Brain, Many Adapters' vision.
Drive 12–18 months personalization roadmap aligned to KPIs (growth, conversion, retention, experience).
Platforms, Not Projects: Build reusable ranking/reco/decisioning platforms (feature/embedding store, real-time signals, policy/constraints, evaluation).
ML in Production: Lead model lifecycle (user modeling, content understanding, candidate generation, re-ranking, optimization, bandits/RL) with clear SLOs.
Privacy-First Personalization: Embed consent, PII handling, and privacy-by-design in data contracts; ensure regulatory compliance.
Agentic & Real-Time Experiences: People & Org: Lead a 25–40 members team across Backend/Platform engineers, MLEs, DS/Applied Scientists, and Program; Partnering & Influence: Collaborate with Product, Design, Marketing, Supply, Finance, and Legal; Establish evaluation frameworks and operational excellence (SRE, On-call, RCA).
15+ years in consumer tech/platforms with 7+ years leading cross-functional Eng + DS/MLE teams.
~ Built/owned feature & embedding stores, online feature serving, streaming pipelines, and A/B platforms.
~ Deep hands-on expertise in large-scale backend (Java/Scala/Go) or applied ML (Python, PyTorch/TensorFlow) with architectural leadership.
~ Experience with real-time systems (Kafka/PubSub, Flink/Spark Streaming), datastores (Redis, Cassandra/DynamoDB, Elasticsearch), MLOps (MLflow/Kube/Triton/Ray), and cloud (AWS/Azure/GCP).
~ Proven implementation of privacy-by-design, data contracts, and governance in production pipelines.
~ Experience with multi-objective optimization, constrained ranking, or contextual bandits/RL.
Familiarity with knowledge graphs/ontologies, retrieval/RAG, agentic workflows, LangGraph/LangChain, and LLM/agent evaluation frameworks.
Experience in Indian consumer internet scale, marketplaces, or travel.
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