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Profound

AI answer-engine visibility analytics for brands

Marketing Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience in technical marketing, marketing engineering, growth engineering, or a similar role combining marketing strategy and technical execution.
  • Strong programming skills in Python, JavaScript, or a similar language, with experience building data pipelines, API integrations, and automation workflows.
  • Experience working with AI agents, large language model-powered tooling, or similar systems.
  • Familiarity with how search engines and AI models discover, index, and surface content.
  • Ability to prioritize scalable solutions over one-off execution.
  • Experience with content management system platforms, headless architectures, publishing APIs, and marketing automation tools.

Responsibilities

  • Build marketing agents and automations for workflows such as content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting.
  • Build and own marketing data infrastructure connecting campaign performance, AI citation tracking, attribution, and pipeline impact.
  • Create dashboards and reporting systems that keep marketing data accurate, actionable, and continuously up to date.
  • Build and maintain automation systems for search and AI visibility, including monitoring and optimizing content performance across traditional search and AI-generated answers.
  • Implement structured data, schema markup, and metadata frameworks at scale.
  • Build integrations between content management systems, data sources, and distribution channels to architect publishing and distribution systems.
  • Automate the publishing pipeline so content moves from creation to distribution with minimal manual intervention.
  • Design content architecture and structured data systems to instrument brand presence in large language models and increase visibility and citation frequency.
  • Run experiments across workflows, content structures, and distribution strategies, treating each deployment as a hypothesis.
  • Codify successful workflows into templates, scripts, and scalable playbooks.

Desired Qualifications

  • Experience with structured data such as schema.org or JSON-LD.
  • Experience in business-to-business or enterprise marketing environments.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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