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Salary: USD 144,000 - 175,000 / annual
Apartment List is transforming how people rent by making the process smarter and easier. The company has matched over 1.4 million renters with homes and helps properties fill units with qualified residents. As Senior Marketing Engineer II, you'll lead the technical vision for how AI and automation drive marketing across growth and marketing functions.
You'll define the technical roadmap for agentic workflows, starting with AI-powered SEO (AEO), content engines, lifecycle marketing, and paid channels (Google, Meta). You'll build the data foundation connecting renter behavior, pricing/supply signals, channel engagement, and conversion outcomes—establishing it as the system for all future automation and targeting decisions.
Key responsibilities include designing and shipping production AI agents and automations across AEO/content, lifecycle, and paid channels; assessing LLM data inclusion and selection criteria; establishing human-in-the-loop models for content and marketing processes; and running every workflow as a testable hypothesis to codify what works into playbooks and systems.
You'll partner directly with marketing leadership, content teams, lifecycle owners, and paid channel specialists to translate technical builds into business impact. You'll also establish the working relationship between marketing and engineering, ensuring marketing's systems and data requirements integrate cleanly into broader engineering standards.
Required experience includes deep background combining marketing execution with engineering (technical marketing, marketing engineering, growth engineering); strong programming ability (Python, JavaScript, or similar) with end-to-end automation, API integration, and data pipeline experience; hands-on experience building custom AI agents or LLM-powered tools with a track record of novel, practical applications; ability to operate with minimal direction in undefined mandates; experience pulling data from outside marketing to establish shared foundations; systems thinking for reuse and scale; and demonstrated ability to translate technical work into business impact across teams without direct authority.
Nice-to-haves include direct experience with Profound or similar AEO/AI-search platforms, multi-channel marketing experience (AEO/GEO, content ops, lifecycle/CRM, paid performance), and experience in consumer marketplaces or high-growth tech environments.
