Manager – AI & Data Platform Engineering

🔥 14 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $164k - $205k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Lead a team of data and AI engineers across the US and India, owning performance, career development, and day-to-day execution across full-time staff and contractors • Own the Data Platform using Snowflake, dbt, and Matillion • Build enterprise knowledge and AI foundations by turning structured and unstructured data into trusted AI-ready assets such as knowledge graphs and vector stores • Own platform quality, reliability, and delivery • Turn platform strategy and architecture direction into roadmaps, quarterly plans, and delivered outcomes • Partner with architects and engineering leadership and shift focus across data, knowledge, and AI work as priorities change • Run the platform as a product for internal customers, defining service levels, onboarding paths, and paved roads • Build agentic operations to automate pipeline monitoring, failure triage, data quality checks, and remediation • Establish reusable operational frameworks and standards for other teams

🎯 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 Snowflake, Databricks, or BigQuery, along with dbt • Strong grounding in data quality, metadata, lineage, governance, and observability • Proven ability to translate ambiguous problems into scalable engineering solutions • 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 and agentic workflows using LangGraph, LangChain, or LlamaIndex, alongside LLM evaluation, AI observability, and LLMOps • Deep cloud-native platform engineering expertise across Kubernetes, Terraform, and Ray/Ray Data • 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 • Comprehensive and inclusive benefits for employees and their families • Reasonable support/accommodations in recruiting processes

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