You will lead the technical architecture for an AI-powered operating system for commercial real estate. As a high-ownership product engineer, you will build full-stack features using Python and TypeScript, design complex data pipelines, and develop real-time collaborative tools that enable brokers and investors to manage billions in physical assets efficiently.
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Senior Product Engineer at GrowthFactor AI
Join a high-growth PropTech startup founded by MIT alumni that is already generating $1M ARR and revolutionizing commercial real estate. As a Senior Product Engineer, you'll have massive autonomy to shape the technical architecture of an AI-powered operating system that manages billions in assets. We are looking for a craftsperson skilled in Python and TypeScript who can build complex data pipelines and real-time collaborative features. If you thrive in fast-paced environments and want to own the product from vision to execution, this is your chance to join a lean, elite team in Cambridge or NYC.
About this role
Role overview
About the company
Commercial real estate workflows are fragmented and broken. Teams make multi-million dollar decisions off of under-utilized data, and spend more time stitching patchwork data together than underwriting the deal. There’s little-to-no closed loop allowing teams to learn from their wins - and their misses. GrowthFactor was built by three MIT classmates to fix that.
GrowthFactor is building the Salesforce for Real Estate. The platform allows teams to collaborate on the data finding, tracking, and analysis process with each other and with our GrowthFactor Agent to move faster and win deals. We augment our customer’s teams with a best-in-class Forward-Deployed Data Scientist team, called our Labs team, which partners with our customers to build unbeatable data insights and forecasts.
There is no home for commercial real estate. When we win, GrowthFactor will be the place all commercial real estate happens.
What you'll do
What you will do
- Drive full-stack architecture and technical direction across backend, frontend, and data services using Python and TypeScript.
- Design and maintain high-performance data pipelines to unify disparate sources using orchestration tools like Dagster or Airflow.
- Build and ship multiplayer, real-time synchronization features and AI-agent workflows to enhance user collaboration and data analysis.
Who you are
Who this is a fit for
- Proven experience designing and shipping full-stack applications with heavy data model manipulation in Python, TypeScript, and PostgreSQL.
- Technical expertise in building data pipelines, handling geospatial data (PostGIS/GeoJSON), and optimizing complex queries for speed.
- A craftsperson's mindset with a history of driving technical strategy at early-stage startups or as a former founder.
Why this role
Why this role is remarkable
- Direct influence on the product roadmap and technical foundation of a startup already generating $1M ARR with a lean team of ten.
- High-autonomy environment where you write your own tasks and move from first principles rather than following a corporate playbook.
- Significant equity upside in a company building the "Salesforce + Claude for Real Estate," modernizing a massive, fragmented global industry.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.