Senior Search Data and Systems Engineer, Organic and Agentic Search

Posted 3 Days Ago
4 Locations
In-Office or Remote
102K-183K Annually
Senior level
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Autodesk is a global leader in design and make technology that helps innovators everywhere solve today's challenges.
The Role
Design and operationalize data architectures, instrumentation, and analytical frameworks to support SEO and AI-driven discovery. Partner with data engineering and BI to build reliable datasets, monitoring, and automation. Prototype and productionize LLM-based workflows and agent-like systems, translate marketing needs into scalable decision systems, and document assumptions and processes.
Summary Generated by Built In

Job Requisition ID #

26WD98620

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 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

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

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.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Skills Required

  • 7+ years experience in software engineering, applied analytics, search systems, or technical marketing roles owning complex systems end-to-end
  • Experience partnering with data engineering or analytics engineering teams to define transformation logic, data models, instrumentation, 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 and SQL (or similar languages) with emphasis on building durable systems
  • Experience designing analytical or decision systems downstream of a data warehouse, including business logic, evaluation frameworks, and failure modes
  • Deep familiarity with search, discovery, or ranking systems (traditional or AI-driven) and reasoning about probabilistic outputs and model variance
  • Hands-on experience evaluating, prototyping, or productionizing AI-driven workflows, LLM-based systems, or agent-like architectures
  • Ability to translate analytical needs into scalable data and systems requirements and bridge technical implementation with business strategy
  • Demonstrated experience operating in ambiguous problem spaces with incomplete requirements and immature tooling
  • Proven ability to influence cross-functional partners and explain technical tradeoffs clearly
  • Track record of documenting systems, assumptions, and decisions for long-term maintainability
  • Comfort being the first or only person in a role and defining what 'good' looks like

Autodesk Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Autodesk and has not been reviewed or approved by Autodesk.

  • Leave & Time Off Breadth Time away is considered expansive, combining discretionary time off for salaried roles, company holidays/Autodays, and a periodic paid sabbatical. These options provide flexibility beyond standard accrual-based PTO.
  • Equity Value & Accessibility Total rewards prominently include RSUs and an employee stock purchase plan with a discount and lookback, alongside annual bonus or commission programs. These elements are available to eligible employees and can materially augment base pay.
  • Parental & Family Support Family-building support includes reimbursement for adoption, surrogacy, IVF/co‑maternity, and fertility benefits, plus dedicated coaching and Cleo resources for parenting and caregiving. These services extend support before, during, and after leave.

Autodesk Insights

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The Company
HQ: San Francisco, CA
13,285 Employees
Year Founded: 1982

What We Do

Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.

Why Work With Us

Our work is impactful. Our people are innovative. And our culture is inclusive. As our software shapes new solutions to the world’s biggest challenges, you shape your career path. With us, you lead the way in achieving sustainability, resilient communities, and an equitable workforce. Discover #AutodeskLife. 

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