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Open nowFirst seen 4 days ago

Deputy Head of Engineering

newbridge101 open roles

Where
Singapore
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Your applicationOpen nowDeputy Head of Engineeringnewbridge · Singapore

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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 4 days ago

The posting

We are looking for a Deputy Head of Technical (Growth Engineering & AI Platform) to architect and lead our clients next-generation AI-native growth platform. This is a 0-to-1 leadership role that sits at the intersection of AI Agent Development, Growth Engineering, and Data Platform.

You will own the end-to-end technical strategy for global user acquisition, data intelligence, and AI transformation - directly supporting C-level decision making and enabling automated, intelligent growth operations.

Key Responsibilities

1. AI & Agent Development

  • Architect and develop scenario-based AI Agents for business use cases such as data enquiry, marketing performance analysis, management intelligence, and creative operations.
  • Design reusable Agent framework including orchestration workflow, tool/function calling, MCP-based integration, prompt management, context engineering, and Agent evaluation pipelines.
  • Build enterprise AI applications leveraging LLM & Multimodal capabilities (e.g., RAG-based analytics, executive insights, automated creative production).

2. Paid Acquisition & Growth Engineering

  • Own the end-to-end global growth platform (Golang + Big Data) supporting multi-region campaign management, attribution, user growth analytics, and scalable acquisition operations.
  • Lead AdTech initiatives: Attribution, Marketing API integration, Advertising Delivery, RTB, and growth optimization.
  • Build ML models for User Segmentation, LTV / ROI Prediction, and Creative Performance Evaluation to drive budget allocation and targeting strategy.

3. Data Platform & Data Governance (Batch + Streaming)

  • Build and own the company-level data platform with Lakehouse architecture, real-time and batch ETL pipelines, unified data services, and analytics infrastructure.
  • Establish best practices for data warehouse architecture, data modeling, metrics architecture, and data asset management.
  • Ensure data quality, governance, and availability to support BI and AI applications.

4. Advertising & Recommendation Systems

  • Develop and optimize advertising delivery and recommendation systems including RTB, growth optimization loops, and creative tagging/classification using multimodal LLM.

5. Technical Leadership

  • Build the technical team from scratch - hiring, mentoring, and establishing SOPs, engineering standards, and delivery processes.
  • Drive cross-functional coordination across Product, Marketing, UA, Data, and Operations (China + Overseas markets).
  • Own cloud infrastructure and DevOps strategy on GCP.

6. Business-Oriented Partnership

  • Directly partner with CEO, COO, and HODs to translate business goals into technical solutions with data-driven decision making.

Requirements

  • 12+ years in Data Platform, Growth Engineering, or AdTech, with at least 3+ years in a Tech Lead / Head of Engineering role building teams from 0-to-1.
  • Proven experience architecting large-scale growth platforms and data platforms (batch + streaming).
  • Hands-on expertise in LLM Agent development: RAG, Vector DB, Function Calling, Agent Orchestration.
  • Strong ML background: XGBoost, clustering, behavioral modeling, deep learning for LTV/ROI prediction, multimodal understanding.
  • Strong engineering background: Golang, Java (Spring Boot), Python, Spark, Flink, Kafka, BigQuery / MaxCompute / Paimon.
  • Experience with Google Cloud Platform: Vertex AI, Gemini, Agent Development Kit (ADK), GKE, BigQuery.

Tech Stack You'll Lead

LLM & AI: Google Gemini, Vertex AI, Prompt Engineering, Embeddings, Function Calling Agent: ADK, LangChain, LangGraph, MCP, Tool Calling, Context Management RAG: Vertex AI Vector Search, Semantic Search ML: PyTorch, XGBoost, LightGBM, Scikit-learn Data & Infra: Golang, Java, Python, Spark, Flink, Kafka, BigQuery, Lakehouse, GCP, Kubernetes, Docker, CI/CD

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