Our client is a data technology company that helps real estate investment and asset management teams gain visibility and insights from their complicated models and disparate data sources. Today, these companies use Excel and reams of materials to manage the models that drive investment decisions; but as the volume of available data increases and models become more sophisticated, it’s extremely challenging for teams to collaborate and to draw inferences from these complex data sets. Their vision is to create one source of truth for investment teams to support data-driven decisions and gain deeper insights. Commercial real estate is a trillion-dollar industry, and the capital base of these organizations are often sourced from school endowments, foundations, sovereign wealth funds and family oﬃces. Hence, the deployment of this capital has tremendous real-world impact, on everything from oﬃce to housing to food delivery.
They are an early seed-stage startup whose ﬁrst product, a mobile application that syncs and processes complex in-house models to the cloud to extract essential metrics for teams on-the-go, has already sparked tremendous interest in the market. They will grow in multiple directions: providing data for benchmarking, linking disparate data sources, and creating tools for advanced analytics and projections about real estate investments.
From day 1, they have been deliberate about fostering a different work culture than many New York prop tech or ﬁnance companies. Humility, curiosity, and gratitude ground everything they do. Humility, because they truly believe that “the complexity of problems that exist today are far more complex than the critical thinking required to solve them;” they eschew the notion of individual heroes or geniuses in favor of broad collaboration and well-selected technologies to tackle convoluted problems. Curiosity, because they are entering largely uncharted territory and must always maintain a beginner’s mindset. Their focus is on problem solving and continuous learning. And gratitude, because they realize how fortunate they are to have the opportunity to tackle these problems with people who share their values and have their backs. They ﬁrmly believe that life is a virtuous cycle, which means giving back to the community and providing a path forward to all those that don’t yet know that they have a voice. Diversity and true equitable distribution must start at the foundation.
Our client is looking to hire a backend software engineer into its small but quickly growing team. They are building data pipelines; ﬁnding new ways to extract and collate often loosely organized data sources; and laying their operational foundations. The ideal candidate need not be an expert in one thing but must be excited to move between different kinds of projects and learn on the go.
They primarily code in Python and deploy to AWS and are currently taking a serverless approach (lambdas) and make heavy use of PostgreSQL, but they are certainly open to other architectures and tools down the road.
Candidates must care about the product and business. While they don’t expect people to start knowing the intricacies of real estate technology or ﬁnances, they do want programmers to understand the end product and be willing to familiarize themselves with their customer’s needs. They are very much a culture where everyone’s opinions matter, and expect developers to leave their ﬁngerprints on the product and who have an opinion not just on the “how” but also on the “why and what.”
This will be a hybrid role in New York City. Especially in the early days of their business, they will need to collaborate face-to-face frequently. The expectation is that a candidate will be able to come into the oﬃce in Midtown South at least 2 days a week and be willing to join periodic team gatherings or multi-day sessions. Proof of vaccination required.
LMRE Tech consultant