Marketing Engineer

Profound•New York, NY

15d•$135,000 - $200,000•Onsite

About The Position

Profound is on a mission to help companies understand and control their AI presence. We are hiring a Marketing Engineer to build the agents, automations, and data infrastructure that power Profound’s marketing engine. You will sit at the intersection of marketing strategy and technical execution, designing and deploying the systems that allow the team to move faster and focus on higher-leverage work. This is not a traditional marketing role. You are not writing blog posts or manually running campaigns. You are building the engineering layer beneath it all, including autonomous agents, programmatic workflows, real-time data pipelines, and scalable infrastructure that turns marketing into a system. You will be opinionated about architecture, relentless about data quality, and driven by the belief that marketing at scale is an engineering discipline. As we grow, you will define the systems and standards others build on. Initially, you are laying the foundation yourself.

Requirements

4 or more 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 similar, with experience building data pipelines, API integrations, and automation workflows
Experience working with AI agents, LLM-powered tooling, or similar systems
Comfortable operating in ambiguity and moving quickly in a fast-paced environment
Familiarity with how search engines and AI models discover, index, and surface content, with experience in structured data such as schema.org or JSON-LD as a plus
Systems thinker who prioritizes scalable solutions over one-off execution
Clear communicator who can translate technical decisions into business impact
Willing to challenge assumptions and test ideas with evidence rather than defaulting to best practices
Experience with CMS platforms, headless architectures, publishing APIs, and marketing automation tools

Nice To Haves

Experience in B2B or enterprise marketing environments is a plus

Responsibilities

Build marketing agents and automations to handle repetitive and time-sensitive workflows such as content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting
Own the marketing data infrastructure by building the systems that connect 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 how content performs across traditional search and AI-generated answers
Implement structured data, schema markup, and metadata frameworks at scale
Architect publishing and distribution systems by building integrations between CMS, data sources, and distribution channels
Automate the publishing pipeline so content moves from creation to distribution with minimal manual intervention
Instrument brand presence in LLMs by designing content architecture and structured data systems that increase visibility and citation frequency
Run disciplined experiments across workflows, content structures, and distribution strategies, treating each deployment as a hypothesis
Build repeatable systems by codifying successful workflows into templates, scripts, and scalable playbooks