Senior Software Engineer - Applications
ApartmentIQ
| Company | ApartmentIQ |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
We are defining the future of the Rentals Industry
We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.
We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.
While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.
About Our Products
ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily—covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI , delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.
Your New Team The ApartmentIQ team is revolutionizing how property managers optimize their operations. We provide a powerful platform that centralizes critical property data, offering actionable insights and intuitive tools to enhance efficiency and decision-making. Our product empowers users to streamline everything from leasing and maintenance to resident communication and financial reporting.
We leverage a modern tech stack, with a React/Tailwind frontend delivering a seamless user experience, backed by a robust Ruby on Rails backend. We believe in fostering an inclusive environment built on mutual trust, continuous learning, and a commitment to simplicity, where every engineer can contribute and grow. The Role
We're hiring experienced full-stack engineers to build AI-native products across our ApartmentIQ and MavenAI pods. These are high-ownership roles: you'll take features from data layer to API to interface, working closely with an experienced lead or AI engineer rather than inheriting a fully-specced ticket. If you like owning ambiguous problems end-to-end—and you're excited about building product on top of LLMs and agents, not only using them to code faster—this is for you.
Responsibilities
Own features end-to-end—data model, Rails API, and front end—in a fast-paced, agile environment.
Build product surfaces on top of LLMs and agents: ingestion, structured data, and UIs for reviewing and verifying AI-generated output.
Partner with a team lead or AI Engineer to take greenfield problems from ambiguous idea to shipped feature.
Engage with product leadership on what to prioritize and how to scope it.
Qualifications
6+ years of experience as a full-stack software engineer.
Strong Ruby on Rails experience, including designing and building APIs.
Proficiency with JavaScript / ES6 and a modern front-end framework (React preferred).
Comfort working across the full stack, including relational databases (MySQL).
Experience building products utilizing agentic workflows: prompting, handling non-deterministic output, and designing for human-in-the-loop review.
Solid understanding of fundamental web technologies such as HTTP, REST, and JSON.
Ability to break down complex, ambiguous problems into digestible, shippable chunks.
Thrive in fast-paced startup environments and adapt quickly to changing priorities.
Bonus Skills & Experience
Data pipeline / ingestion and processing work—pulling in raw apartment rental data from XML files or APIs and transforming it into compelling content that helps renters choose their next home.
Experience with agentic frameworks, RAG, or LLM tool-use.
React