Senior Search Data and Systems Engineer, Organic and Agentic Search

Job Requisition ID #

Position Overview

We’re seeking a Senior Search Systems Engineer to build the intelligence and automation layer that sits on top of our marketing and AI visibility data. This role focuses on transforming structured data—produced by our data engineering and analytics systems—into decision frameworks, automated insights, and applied AI workflows that improve how our brand performs in AI-driven discovery environments.

This role serves as the bridge between SEO and AEO strategy, analytics, and technical data implementation—helping define how search and AI visibility data should be collected, transformed, structured, monitored, and operationalized across Autodesk ’s marketing ecosystem. While partnered closely with data engineering and BI teams, this role is responsible for ensuring the underlying datasets, instrumentation, custom dimensions, transformation logic, and reporting outputs accurately support SEO, AI visibility analysis, automation workflows, and decision-making systems at scale.

Responsibilities

Data Architecture and Instrumentation

Define the data, instrumentation, and custom dimensions required to support SEO, AI visibility, content performance, and entity-level analysis across Autodesk ’s marketing ecosystem

Partner with SQL developers, analytics engineers, and BI teams to operationalize scalable datasets, transformation logic, reporting tables, and analytical data models that support downstream reporting, automation, and decision systems

Shape ingestion and normalization strategies for search, behavioral, content, and AI visibility datasets across APIs, warehouses, and marketing platforms

Data Quality and Governance

Ensure data quality, consistency, and governance across SEO and AI visibility reporting systems by validating metric definitions, transformation logic, and analytical outputs

Translate ambiguous business questions and SEO hypotheses into structured technical requirements that can be implemented across reporting pipelines, analytical systems, and automation workflows

Analytical Systems and Evaluation Frameworks

Define analytical frameworks and scoring logic for evaluating brand visibility, entity coverage, content performance, and competitive presence across traditional and AI-driven search environments

Develop monitoring and alerting systems that identify meaningful shifts in search visibility, AI model behavior, response patterns, or competitive movement over time

Automation and AI Workflows

Build and maintain automation, prioritization models, and agent-like systems that transform curated datasets into actionable recommendations for SEO, content, and discovery optimization

Translate marketing strategies and initiatives into scalable technical implementations, including rule-based