Senior Search Data and Systems Engineer, Organic and Agentic Search

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.

Job Requisition ID #: 26WD98620

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 systems, experimentation frameworks, and applied AI workflows

Prototype and evaluate emerging tools, APIs, and frameworks related to LLM analysis, AI agents, search intelligence, and marketing automation

Cross‑Functional Operationalization

Partner with search, content, analytics, engineering, and platform teams to ensure search intelligence systems and AI‑driven insights are embedded into planning, prioritization, experimentation, and execution workflows

Document system logic, assumptions, frameworks, and operational processes to ensure long‑term scalability, maintainability, and organizational clarity

Minimum Qualifications

7+ years of experience in software engineering, applied analytics, search systems, or technical marketing roles that required designing and owning complex systems end‑to‑end

Experience partnering with data engineering or analytics engineering teams to define transformation logic, data models, instrumentation requirements, and reporting outputs

Strong understanding of marketing and analytics data architecture, including event‑level data, custom dimensions, warehouse modeling, and reporting layer design

Experience working with APIs, structured datasets, and large‑scale analytical environments such as Snowflake, BigQuery, or similar cloud data platforms

Strong proficiency in Python, SQL, or similar languages, with an emphasis on building durable systems, not one‑off analyses or prototypes

Experience designing analytical or decision systems that sit downstream of a data warehouse, including defining business logic, evaluation frameworks, and failure modes

Deep familiarity with search, discovery, or ranking systems (traditional or AI‑driven), and the ability to reason about probabilistic outputs, model variance, and imperfect signals

Hands‑on experience evaluating, prototyping, or productionizing AI‑driven workflows, LLM‑based systems, or agent‑like architectures, with a pragmatic approach to risk and complexity

Ability to bridge technical implementation and business strategy by translating analytical needs into scalable data and systems requirements

Demonstrated experience operating in ambiguous problem spaces, where requirements were incomplete, tooling was immature, and success depended on judgment rather than predefined best practices

Proven ability to influence cross‑functional partners by explaining technical tradeoffs clearly and pushing back when solutions are premature, fragile, or misaligned

Track record of documenting systems, assumptions, and decisions to support long‑term maintainability and team learning

Comfort being the first or only person in a role, and helping define what “good” looks like before metrics or playbooks exist

Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $102,000 and $182,710. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity
At Autodesk, we’re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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