Content Engineer

Boston · Boston (1001 Boylston Street) · USD 64,000-81,000 · Full-time · Hybrid · Posted Oct 19, 2026

At a glance

We are looking for a Content Engineer to help operate and improve the systems and workflows that power CarGurus content.
This is a content-operations role with strong technical fluency where you will manage structured content in our headless CMS and related databases.

Manage and maintain a structured database of content, including records, fields, statuses, metadata, templates, relationships, and update schedules.
Operate day-to-day publishing and refresh workflows across multiple content types, markets, and production queues.
Coordinate work from intake through review, revision, approval, publishing, and post-publication quality checks.
Configure and maintain Contentful models, entries, templates, and workflow states within established standards.
Use AirOps, LLM tools, and related AI-assisted workflows to support content creation, enrichment, updating, and quality control.
Review generated or data-informed content for accuracy, completeness, clarity, consistency, brand voice, and usefulness to car shoppers.
Monitor workflow output and investigate issues such as missing data, incorrect formatting, duplicate records, broken links, stale content, or failed production steps.
Track answer-engine optimization (AEO) performance and citation visibility across AI and LLM search experiences; monitor where and how CarGurus content is cited, and use citation data to improve briefs, content structure, internal linking, prompts, and workflow outputs.
Partner with editors and SEO stakeholders to translate briefs, content standards, and search intent into clear workflow requirements.
Maintain production trackers, documentation, QA checklists, and process guides so that work is visible, repeatable, and easy for others to follow.

Experience in editorial operations, content operations, content management, publishing, SEO content, digital production, or a related field.
Strong technical fluency and the ability to learn unfamiliar systems quickly.
Experience managing structured content, databases, spreadsheets, CMS platforms, workflow tools, or production queues.
A careful, methodical approach to data quality, content QA, and troubleshooting.
Experience coordinating multiple projects or workflows with competing deadlines and dependencies.
Strong written and verbal communication skills, including the ability to explain technical or process issues to nontechnical partners.
Good editorial judgment and a clear understanding of what makes content accurate, useful, readable, and consistent.
Comfort working with AI-assisted content tools while applying human review, fact checking, and quality standards.
The ability to work independently on varied, routine-to-moderately complex problems and to ask for help or escalate issues when appropriate.