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Apartment List

Senior Software Engineer II, Growth & Marketing Technology

Apartment List, San Francisco, California, United States, 94199

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Overview

As a Lead Engineer (SE4), specializing in Growth & Marketing Technology, you will architect and build the technical infrastructure that powers Apartment List's performance marketing and user acquisition systems. This role requires deep technical expertise across the full stack to develop sophisticated marketing technology solutions that drive measurable revenue growth. Working at the intersection of engineering and marketing, you'll directly influence how potential renters discover and interact with Apartment List's offerings across the digital landscape, ensuring our technology creates seamless pathways for people to find their ideal homes. Pay and Base Salary

Base pay range $154,000.00/yr - $207,000.00/yr Key Responsibilities

Create integrated marketing technology solutions that standardize pixel implementation across channels, build comprehensive attribution modeling connecting fragmented touchpoints to rental decisions, and ensure robust integration with external platforms (Google Tag Manager, AppsFlyer, GA4) Design, build, and maintain backend services and APIs in Go, Ruby, and frontend applications in TypeScript, React to support marketing platforms. Lead engineering initiatives by collaborating with marketing, analytics, and data science teams to implement machine learning models that optimize bidding strategies, audience segmentation, and user engagement. Coordinate with engineering to prioritize projects that align with business objectives while ensuring scalability and performance. Develop automation systems to streamline marketing operations, reduce manual effort, and accelerate decision-making. What We\'re Looking For

7+ years of experience in a full stack engineering role Strong software development skills in Go, Ruby, TypeScript, and React Experience with RESTful APIs, relational database design, and scalable backend services. Deep technical knowledge of digital advertising ecosystems, attribution modeling, server-side tracking implementation, and cross-device identity resolution Familiarity with machine learning concepts and their application in marketing automation and predictive modeling. Strong analytical skills, including experience with SQL and marketing performance metrics. Experience with server-side tracking implementations, tag management systems, customer data platforms, and conversion APIs (like Meta CAPI) Ability to translate marketing goals into technical implementation, through planning, requirements gathering, coding and maintenance, ensuring seamless execution of growth initiatives. Pay Range Details

Here\'s The Pay Range: At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: Zone 1: $170,000 - $207,000 TTC (including $154,000 - $186,000 base salary) + equity Zone 2: $158,000 - $191,000 TTC (including $142,000 - $172,000 base salary) + equity Zone 3: $145,000 - $175,000 TTC (including $130,000 - $158,000 base salary) + equity This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process. Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Information Technology Industries: Internet Marketplace Platforms

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