# Manager – AI & Data Platform Engineering

**Company**: Zscaler
**Location**: Santa Clara, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $164,000-$205,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/zscaler/jobs/5268021007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d838f699-7fe

## Description

Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

We are looking for a technically strong, hands-on Manager – AI & Data Platform Engineering within the Enterprise Data & AI Platform Engineering department, based on a Hybrid (3 days in office) basis in Santa Clara, CA, and reporting directly to the Senior Manager – Data Strategy, to lead the evolution of our enterprise data platform into an AI-ready data and knowledge platform.

## Responsibilities

- Lead a team of data and AI engineers across the US and India, owning performance, career development and day-to-day execution across both full-time staff and contractors.

- Own the Data Platform (Snowflake, dbt, Matillion) and the in-house pipelines that build the enterprise's knowledge and AI foundations, turning structured and unstructured data into trusted, AI-ready assets such as knowledge graphs and vector stores, accountable for quality, reliability and delivery.

- Turn platform strategy and architecture direction into roadmaps, quarterly plans and delivered outcomes, partnering with architects and engineering leadership and shifting focus across data, knowledge and AI work as priorities change.

- Run the platform as a product for internal customers such as domain delivery teams, BI, context and semantic teams and AI engineering, defining service levels, onboarding paths and paved roads that make self-service and AI-native development fast and safe.

- Build agentic operations that automate the team's operational work, such as pipeline monitoring, failure triage, data quality checks and remediation, and establish a reusable framework and standards that other teams can adopt for their own operations.

## Requirements

- Practical understanding of Generative AI architectures, particularly RAG and enterprise knowledge systems, with experience designing pipelines for structured and unstructured data.

- 10+ years of experience in software engineering, data engineering, data platform engineering, or data architecture.

- 3+ years of experience leading engineering teams with demonstrated technical and people leadership.

- Strong hands-on expertise in Python and SQL, with a solid foundation in modern data engineering and distributed systems.

- Experience designing and operating production-grade data platforms on AWS (or another major cloud platform) using modern tools such as Snowflake, Databricks, or BigQuery, along with dbt.

## Preferred Qualifications

- Production experience building RAG or GraphRAG platforms, Knowledge Graphs, and graph databases (ArangoDB, Neo4j, Amazon Neptune), vector databases, embeddings, hybrid retrieval, and re-ranking.

- Hands-on experience building infrastructure for AI agents and agentic workflows using frameworks such as LangGraph, LangChain, or LlamaIndex, alongside LLM evaluation, AI observability, and LLMOps.

- Deep cloud-native platform engineering expertise across Kubernetes, Terraform, and Ray/Ray Data, with a track record of building internal developer platforms and reusable data and AI platform services.

## Benefits

- Various health plans.

- Time off plans for vacation and sick time.

- Parental leave options.

- Retirement options.

- Education reimbursement.

- In-office perks, and more!

## Skills

### Required
- Python
- SQL
- Snowflake
- dbt
- Matillion
- Generative AI
- RAG
- enterprise knowledge systems
- data engineering
- data platform engineering
- data architecture
- cloud platforms
- distributed systems

### Nice to have
- GraphRAG
- Knowledge Graphs
- graph databases
- vector databases
- embeddings
- hybrid retrieval
- re-ranking
- LangGraph
- LangChain
- LlamaIndex
- LLM evaluation
- AI observability
- LLMOps
- Kubernetes
- Terraform
- Ray/Ray Data

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/zscaler/jobs/5268021007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)