About MeetElise

MeetElise is on a mission to revolutionize the housing industry, with the ultimate goal of making good housing more accessible.

Access to affordable housing isn’t just a problem - it’s a global crisis. An estimated seven million affordable and available rental homes are needed in just the US alone, and no amount of government spending or policy have proven to be effective solutions.

MeetElise uses machine learning to address the underlying cause preventing significant advancements in affordable housing: operational costs. By automating the leasing and management of apartment homes, we’re creating a new, low cost operating model that allows for the development of new housing at scale.

Our first product is an AI leasing agent named Elise that converts 65% more prospective renters to residents than a human leasing agent. She answers questions and schedules tours 24/7 and is so human-like that renters say they’re “here to meet Elise” when they show up for a tour.

MeetElise is well-funded by VCs, strategic real estate investors, and customers and was started by technical cofounders from MIT and the University of Cambridge.

Our small, courageous team is building the future we want to live in. A future where housing is affordable, powered by technology, and accessible to all.

About the role

MeetElise is growing quickly and you’ll be using our data deriving insights that drive product strategy. You will work closely with the software development and automation teams, designing and building out the infrastructure for 24/7 service for our first million apartments and beyond. You will have a huge impact on a product used by thousands of people a day.

What you'll do

  • Build, deploy, and maintain robust data pipelines and infrastructure around the core data infrastructure that powers MeetElise’s Analytics
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data sets that power decision-making across the business
  • Organize and optimize data in our relational data store to be clean, accessible, and scalable

Why join

Growth and impact. 

You’ll be learning and shipping constantly. 

You’ll be significantly changing how the housing industry works today with the ultimate goal of creating more housing opportunities.

It’s not often that you can get in on the ground floor of a funded startup that’s scaling. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you. Collectively, we’ll be figuring out the path to serving millions of apartments.

Requirements

We recognize that data engineering is often learned “on the job,” so we’re not only looking for people whose resumes check all the boxes. We want someone who is hungry to dive in and learn, but who also values learning and teaching from others in a collaborative team environment. 

Here are your core objectives:

  • Build, deploy, and maintain robust data pipelines and infrastructure around the core data infrastructure that powers MeetElise’s Analytics
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data sets that power decision-making across the business
  • Organize and optimize data in our relational data store to be clean, accessible, and scalable

Why join

Growth and impact. 

You’ll be learning and shipping constantly. 

You’ll be significantly changing how the housing industry works today with the ultimate goal of creating more housing opportunities.

It’s not often that you can get in on the ground floor of a funded startup that’s scaling. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you. Collectively, we’ll be figuring out the path to serving millions of apartments.

We’re looking for someone who

  • Is driven and excited to join a highly productive team composed of engineers and scientists at a fast-growing startup
  • Has 1+ years industry engineering experience building production-quality data pipelines using Python, Java, SQL, spark, or similar
  • Has experience using cloud environments like AWS or Azure
  • Has Bachelor's or Master's degree in computer science or another quantitative field
  • Is fluent in Linux/Unix

Nice to haves include

  • Existing experience with or interest in ETL pipelines
  • Experience designing, building, and monitoring relational databases
  • Strong knowledge of AWS, Postgres and Databricks
  • Experience working directly with data science/machine learning teams to build data products

Benefits

In addition to the growth and impact you’ll have at MeetElise, we also want to make sure that you’re set up for success and financially compensated for your contributions. 

  • Stock options
  • Competitive salary
  • 100% medical, dental, and vision coverage
  • 401k benefits
  • Unlimited vacation
  • Monthly fitness stipend
  • Flexible working hours - we look at output, not hours. 

We'll cover $5,000 of relocation from outside of the Greater NYC metro area - we'll make the move exciting, not painful.

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