Manager – AI & Data Platform Engineering

The role

Lead a team of data and AI engineers across the US and India, owning performance, career development and daily execution. Own the Data Platform (Snowflake, dbt, Matillion) and the pipelines that turn structured and unstructured data into AI-ready assets such as knowledge graphs and vector stores. Run the platform as a product for internal teams.

What you will do

• Lead a team of data and AI engineers across the US and India
• Own the Data Platform (Snowflake, dbt, Matillion) and in-house pipelines that build the enterprise knowledge and AI foundations
• Turn platform strategy and architecture direction into roadmaps, quarterly plans and delivered outcomes
• Run the platform as a product for internal customers, defining service levels, onboarding paths and paved roads
• Build agentic operations that automate pipeline monitoring, failure triage, data quality checks and remediation

Required qualifications

• Practical understanding of Generative AI architectures, particularly RAG and enterprise knowledge systems
• 10+ years of experience in software engineering, data engineering, data platform engineering, or data architecture
• 3+ years of experience leading engineering teams with technical and people leadership
• Strong hands-on expertise in Python and SQL
• Experience designing and operating production-grade data platforms on AWS (or another major cloud) using Snowflake, Databricks, or BigQuery, along with dbt
• Strong grounding in data quality, metadata, lineage, governance and observability

Nice to have

• Production experience building RAG or GraphRAG platforms, knowledge graphs, graph databases, vector databases, embeddings, hybrid retrieval and re-ranking
• Hands-on experience building infrastructure for AI agents using LangGraph, LangChain or LlamaIndex, plus LLM evaluation, AI observability and LLMOps
• Deep cloud-native platform engineering across Kubernetes, Terraform and Ray/Ray Data, including building internal developer platforms

Benefits

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks

Before you apply

• Pay transparency: base salary range is set by role and level and may be higher or lower based on skills, experience and education

About the company

Zscaler is a security company whose Zero Trust Exchange platform protects customers from cyberattacks and data loss. It describes itself as building an AI-native enterprise where human potential is amplified by machine intelligence.