Senior Marketing Engineer II

Responsibilities

• Define the technical vision and roadmap for how AI and automation get applied across marketing, prioritizing where agentic workflows create outsized leverage.
• Build the data foundation connecting renter behavior, pricing/supply signals, channel engagement, and conversion outcomes.
• Design, build, and ship production agents and automations across AEO/content, lifecycle marketing, and paid channels (Google, Meta).
• Lead the assessment of LLM data inclusion, selection criteria and help address gaps within OpenAI/Claude and others.
• Set the standard for how marketing rethinks core processes rather than just speeding them up (e.g., defining the right human-in-the-loop model for content).
• Establish the working relationship between marketing and engineering, ensuring marketing's systems and data requirements are integrated cleanly into the broader engineering org's standards.
• Run every new workflow or automation as a testable hypothesis, and codify what works into playbooks, templates, and systems.
• Partner directly with content, lifecycle, and paid channel owners to find where the real friction and opportunity live, and translate technical builds into business impact for non-technical stakeholders.

Requirements

• Deep experience combining marketing execution with engineering — technical marketing, marketing engineering, growth engineering, or a similar hybrid background — with a demonstrated ability to set technical direction.
• Strong programming ability (Python, JavaScript, or similar), with experience building automations, API integrations, or data pipelines end-to-end.
• Hands-on experience building custom AI agents or LLM-powered tools — not just configuring pre-built ones — with a track record of finding novel, practical applications for agentic workflows.
• Demonstrated ability to operate with minimal direction inside a genuinely undefined mandate.
• Experience pulling in data from outside marketing (pricing, product, lifecycle) and using it to establish a shared foundation others can build on.
• Systems thinking — a track record of building for reuse and scale rather than one-off fixes.
• Experience translating technical builds into business impact for non-technical stakeholders, and influencing outcomes across teams without direct authority.

Nice-to-Haves

• Direct experience with Profound or a similar AEO/AI-search marketing platform, ideally including building on an agent marketplace.
• Multi-channel marketing experience spanning AEO/GEO, content operations, lifecycle/CRM, or paid performance (Google Ads, Meta Ads).
• Experience in a consumer marketplace or high-growth tech environment.

Compensation

US Base Salary + Equity (TTC):

• Zone 1: $166,000 - $201,000 (base $144,000 - $175,000)
• Zone 2: $153,000 - $186,000 (base $133,000 - $161,000)
• Zone 3: $141,000 - $171,000 (base $123,000 - $148,000)

Compensation determined by role, level, location, skills, experience, and education. Benefits include 100% covered medical/dental/vision for employee + dependents, unlimited FTO, home office reimbursement, 401k, parental leave, and more (full-time US employees only).