Staff Software Engineer - Data

We're Changing 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. MavenAI , delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units. The Role Our customers use ApartmentIQ to decide what to charge for real apartments. That number comes out of a pipeline you would lead: data pulled from the property management systems that run the industry, fed through demand and renewal models, and surfaced as pricing recommendations that get acted on the same day. We're hiring a staff engineer to be the technical lead for that path, end to end. The first version of the ingestion pipeline was built to prove the system worked while we validated what customers actually needed. It did its job - the product is validated, and customers now depend on its output every day. It's served its purpose, and we're ready to build the real version: a new private data ingestion system designed from the start for the correctness and reliability that daily pricing decisions demand. That build needs someone we can trust to make the right technical calls. It's a wide role by design - Python for the ML and ingestion services, Terraform for everything they run on, Ruby for the application layer that customers touch. Often all three in one change. If you like leading a whole system rather than a layer, this is that job. The old startup motto was "move fast and break things." We move fast, but we can't break things. Every pod at ApartmentIQ ships quickly with high standards; this one carries a heavier emphasis on quality and stability, because the output of this pipeline is priced against daily, and customers lose real money when a number is wrong. If you're the engineer who notices when a number looks off and builds the checks before anyone asks, this is your kind of problem. Your New Team This product team runs very autonomously: a VP of Product at the helm, a research-driven designer who keeps the work ready to build, and an experienced team of five engineers. The pod carries two responsibilities - the application customers touch, and the data pipeline behind it. Most of the team builds the application. You'll lead the pipeline side, working day-to-day with the team's engineering lead. That structure allows for a deeper focus than most roles. You'll often be the engineer closest to the problem, and that's where the ownership lives: the technical calls are yours to make, and you'll be trusted to make them. What You'll Be Doing

Own a system that sets rents. Demand models, renewal probability, price elasticity, compliance scoring - you'll own the pipeline that produces them and be accountable for the recommendations landing correctly. Solve a genuinely hard data problem. Property management systems are walled gardens with inconsistent APIs and no shared identity model. Getting clean, reconciled lease and charge data out of them is the core technical challenge of this role, and we're rebuilding it from scratch right now. Build the infrastructure you depend on. Every database, queue, and role is in Terraform, and you'll write it. No ticket to another team to get a table provisioned. Build the orchestration layer. Ingestion, inference, and the downstream daily jobs need to run in the right order, gate on their inputs being ready, and recover cleanly when something upstream is late. You'll own that coordination layer end-to-end: the first version proved the concept, and you'll build the real orchestration it deserves. Prove the numbers are right. Build out the observability and alerting across the data architecture - pipeline health, data freshness, and recommendation drift - so a bad number gets caught before a customer prices a lease against it. Work across the whole stack, for real. Python, Terraform, and Ruby are all first-class parts of this job, not a "some exposure to" bullet. Set the bar on AI-assisted engineering. A large and growing share of what we merge is AI-assisted. We want someone with strong opinions about how to do that well and the review judgment to enforce them.

Who You Are

You want scope, not scaffolding. You're looking for a system to own outright, and you'd rather have a hard problem and autonomy than a well-defined ticket queue. You care that it's correct. These outputs move real money. You build the checks that prove it, and you notice when a number looks wrong. You go end to end. Empty repo to production, including the alarms, the backfill, the runbook, and the migration nobody scoped. You raise the level around you. Your reviews make other people's code better, and work quietly moves off other plates once you're there. You have strong opinions on AI-assisted engineering. You lean on it to ship to customers faster, but you have the discipline to uphold code quality standards.

Qualifications

Proven Track Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python