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Personalization Technology Director

Personalization Technology Director

MakeMyTripBengaluru, Republic Of India, IN
1 day ago
Job description

Job Title : Director — Technology Development (Personalization)

Location : Bengaluru

Experience : 15+ Years

Function : Data Platform & Personalization

Why This Role

  • 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.

What You’ll Own

  • Strategy & 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 ContextOS 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 Done

  • 15+ 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, 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.
  • Strong product sense and storytelling;

    • ability to align executives and mentor senior ICs and managers.

    Nice to Have

  • 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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    Director Technology • Bengaluru, Republic Of India, IN

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