Director - technology development
4 weeks ago
Job Title: Director — Technology Development (Personalization)Location: BengaluruExperience: 15+ YearsFunction: Data Platform & PersonalizationWhy This RoleReimagine 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 Context OS, Myra, and Experience Hub under the “One Brain, Many Adapters” vision.What You’ll OwnStrategy & Roadmap: 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.Experimentation & Causality: Scale A/B and bandit experimentation; ensure robust guardrails and uplift measurement.Privacy-First Personalization: Embed consent, PII handling, and privacy-by-design in data contracts; ensure regulatory compliance.Agentic & Real-Time Experiences: Integrate with Context OS and Myra for explainable, grounded, actionable recommendations across channels.People & Org: Lead a 25–40 members team across Backend/Platform engineers, MLEs, DS/Applied Scientists, and Program; hire, coach, and build succession.Partnering & Influence: Collaborate with Product, Design, Marketing, Supply, Finance, and Legal; manage vendors/partners.Observability & Evals: Establish evaluation frameworks and operational excellence (SRE, On-call, RCA).Cost & Reliability: Own budgets, infra choices, and efficiency (GPU/CPU mix, caching, quantization, distillation).What You’ve Done15+ years in consumer tech/platforms with 7+ years leading cross-functional Eng + DS/MLE teams.Delivered production ML (recommendations/ranking/search/ads/feeds) for millions of users with measurable uplift and strong SLOs.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, Py Torch/Tensor Flow) with architectural leadership.Experience with real-time systems (Kafka/Pub Sub, Flink/Spark Streaming), datastores (Redis, Cassandra/Dynamo DB, Elasticsearch), MLOps (MLflow/Kube/Triton/Ray), and cloud (AWS/Azure/GCP).Proven implementation of privacy-by-design, data contracts, and governance in production pipelines.Strong product sense and storytelling; ability to align executives and mentor senior ICs and managers.Nice to HaveExperience with multi-objective optimization, constrained ranking, or contextual bandits/RL.Familiarity with knowledge graphs/ontologies, retrieval/RAG, agentic workflows, Lang Graph/Lang Chain, and LLM/agent evaluation frameworks.Experience in Indian consumer internet scale, marketplaces, or travel.
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