Job description

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them. Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day. 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. WHAT YOU’LL DO - 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 WHO YOU ARE - 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 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 - Experience in B2B or enterprise marketing environments is a plus LOCATION This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. For this role, the expected base salary range is $135,000 to $200,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on your experience and fit and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring. Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

Requirements

Must-haves

We are hiring a Marketing Engineer to build the agents, automations, and data infrastructure that power Profound’s marketing engine.
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
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
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
This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

Nice-to-haves

Familiarity with how search engines and AI models discover, index, and surface content, with experience in structured data such as schema.org http://schema.org or JSON-LD as a plus
Experience in B2B or enterprise marketing environments is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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