Search Intelligence Manager

Autodesk is a software company that helps innovators design and make products, buildings, and media. The Search Intelligence Manager will analyze search, website, content, and customer behavior data to build dashboards, identify optimization opportunities, and provide actionable insights across traditional and AI-driven discovery experiences.

Responsibilities

Build and improve dashboards for search visibility, website engagement, content performance, customer journeys, and conversion trends

Work with backend data systems, BI tools, Streamlit, Google Search Console, SEMrush, and other sources to collect, validate, analyze, and visualize performance data

Diagnose search and discovery trends across impressions, clicks, CTR, rankings, landing pages, engagement, conversion, AI referrals, and emerging LLM-driven discovery paths

Analyze behavioral patterns for users arriving through organic search and AI-driven discovery, including landing-page behavior, content paths, drop-off points, and conversion signals

Identify SEO, AEO, content, and digital experience optimization opportunities based on data, customer behavior, and business impact

Partner with analytics, data engineering, search, content, marketing, and technical teams to define KPI logic, reporting needs, and source-of-truth measurement approaches

QA datasets, dashboards, reporting outputs, and scoring frameworks to ensure accuracy, consistency, and stakeholder trust

Support prioritization by combining performance data, business value, customer intent, content metadata, and optimization opportunity

Prepare concise performance summaries, visualizations, and insight narratives that help teams make smarter decisions

Stay current on search behavior, AI-driven discovery, analytics practices, and emerging measurement approaches

Preferred

Familiarity with SEO concepts, keyword strategy, content performance, search visibility, or digital marketing metrics

Familiarity with AEO or AI-driven search concepts such as AI Overviews, LLM referrals, prompt monitoring, citation visibility, share of answer, or zero-click behavior

Experience with Python, R, dbt, BigQuery, Snowflake, Databricks, ETL workflows, data modeling, or analytics engineering practices

Experience combining search data, web analytics data, content metadata, CRM/conversion data, and customer behavior data to generate recommendations

Experience developing KPI frameworks, prioritization models, scoring systems, or source-of-truth reporting documentation

Experience with Adobe Analytics or similar web analytics platforms

SEO Concepts

Keyword Strategy

Content Performance

Search Visibility

Digital Marketing Metrics

AEO Concepts

AI-Driven Search

AI Overviews

LLM Referrals

Prompt Monitoring

Citation Visibility

Share Of Answer

Zero-Click Behavior

Python

R

dbt

BigQuery

Snowflake

Databricks

ETL Workflows

Data Modeling

Search Data Integration

Web Analytics Data

Content Metadata

CRM Data

Conversion Data

Customer Behavior Data

Recommendation Generation

KPI Frameworks

Prioritization Models

Scoring Systems

Reporting Documentation

Adobe Analytics

Web Analytics Platforms

Benefits

Annual cash bonuses

Commissions for sales roles

Stock grants

A comprehensive benefits package

Company

3D design, engineering, construction, manufacturing, and entertainment software

San Francisco, California, USA

http://www.autodesk.com/

Founded in 1982

10001+ employees

Qualifications

3–5+ years of experience in digital analytics, marketing analytics, BI/reporting, analytics engineering, growth analytics, search analytics, or a related analytical role

Experience working with backend data systems, data warehouses, BI platforms, dashboards, and large datasets

Strong SQL or equivalent data-querying experience, with the ability to pull, join, clean, validate, and analyze data from multiple sources

Experience building dashboards, reporting tools, or lightweight data applications using tools such as Streamlit, Looker, Tableau, Power BI, or similar platforms

Familiarity with Google Search Console and SEMrush data, including search visibility, query, landing-page, and keyword performance trends

Ability to analyze customer behavior, journey paths, funnel performance, or conversion patterns using web analytics, BI tools, or backend datasets

Strong data QA skills, including validating metric definitions, identifying discrepancies, documenting assumptions, and ensuring reporting accuracy

Ability to translate complex data into clear insights, recommendations, and business narratives

Strong problem-solving skills, attention to detail, and willingness to learn quickly in a fast-moving search and AI discovery landscape

Collaborative mindset with the ability to work across analytics, data engineering, search, content, marketing, and technical teams

Familiarity with SEO concepts, keyword strategy, content performance, search visibility, or digital marketing metrics

Familiarity with AEO or AI-driven search concepts such as AI Overviews, LLM referrals, prompt monitoring, citation visibility, share of answer, or zero-click behavior

Experience with Python, R, dbt, BigQuery, Snowflake, Databricks, ETL workflows, data modeling, or analytics engineering practices

Experience combining search data, web analytics data, content metadata, CRM/conversion data, and customer behavior data to generate recommendations

Experience developing KPI frameworks, prioritization models, scoring systems, or source-of-truth reporting documentation

Experience with Adobe Analytics or similar web analytics platforms

3–5+ years of experience in digital analytics, marketing analytics, BI/reporting, analytics engineering, growth analytics, search analytics, or a related analytical role.

Required skills

SQL, Dashboard Development, Google Search Console, SEMrush, Data Warehousing, BI Reporting, Customer Journey Analytics, SEO, AEO, Python, Snowflake, Web Analytics

Experience

3+ years