Teams at CarGurus

Team
CarGurus' Approach to AI

At CarGurus, AI touches everyone. From engineers and product managers to salespeople and marketers, AI powers innovation at every corner of the company, leading to smarter tools, more efficient workflows, and better customer experiences. Just ask Sarah Rich, lead of AI enablement, Ryan Aghdam, a director of engineering, or Harrison Makofsky, a product acceleration manager. Whether they are using AI to support product prototyping or simply to transcribe a meeting, Rich, Aghdam and Makofsky are but three voices in a true companywide transformation driven by AI experimentation and exploration.

Recently posted jobs

28 Minutes AgoSaved
Hybrid
Boston, MA, USA
Consumer Web • eCommerce • Software
Serve as a hands-on cloud architect for the Engineering Platform organization. Design AWS-based system architectures, build Terraform and application prototypes, establish reusable cloud-native patterns, and guide SaaS maturity, security, compliance, resilience, cost management, and AI workloads. Partner with engineering teams and AWS architects, improve self-service infrastructure and governance, document technical decisions, influence technical direction, mentor senior engineers, and lead cloud-native workshops.
29 Minutes AgoSaved
Hybrid
Boston, MA, USA
Consumer Web • eCommerce • Software
Build developer tooling, reusable frameworks, AI agent workflows, MCP integrations, and cloud-native services that improve engineering productivity. Evaluate and roll out AI development technologies, establish standards and guardrails, support authentication platform evolution, and improve AWS service and job creation paths. The role also involves documentation, collaboration with engineering and product teams, and improving system reliability and performance.
YesterdaySaved
Hybrid
Boston, MA, USA
Consumer Web • eCommerce • Software
Operates and improves structured content systems and publishing workflows across multiple content types and markets. Manages Contentful models, databases, metadata, templates, queues, and quality checks; uses AirOps and LLM tools to support content production. Reviews accuracy, brand consistency, SEO, and AI-search citation visibility while troubleshooting workflow issues. Partners with editorial, SEO, engineering, and analytics teams to document processes, improve automation, and scale reliable content operations.