Full Stack Software Engineer

Full-Stack Software Engineer

Company Overview

The built world generates more data than almost any other industry. Almost none of it is being used. Rentana is changing that, building the AI copilot for real estate that distills billions of real-world signals into revenue intelligence, so operators can optimize every lever across their portfolio and actually talk to their data.

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Our founding team has built four multi-billion dollar software companies and two proptech exits, including Dynasty (sold to AppFolio) and Urbandoor (sold to Airbnb). Our founding engineers include the first engineer at Airtable and the engineer who led the largest code migration in Stripe's history.

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Customers love Rentana: we are the top-rated revenue management platform on Revyse, with NMHC Top 50 real estate owners and operators on the platform within 1 year of public launch.

Job Summary

Rentana is looking for a talented Software Engineer to join our small but dynamic team. In this role, you will focus on designing and implementing greenfield projects. This would include designing systems to normalize and scale messy third-party data and contributing to analytical and machine-learning models. You’ll collaborate closely with the CTO, CEO and CPO to create solutions that elevate the UI/UX of our platform and streamline our backend infrastructure. If you have a passion for data and a knack for building scalable, user-focused solutions, we’d love to hear from you.

Key Responsibilities

Work with the team to design and implement backend systems that manage and organize data efficiently.

Develop and maintain data pipelines that support the platform’s data-driven features.

Design and implement intuitive solutions through collaborative and autonomous workflows

Analyze current and potential metrics, helping to determine which ones are most valuable to track and optimize.

Collaborate with the team to establish features that guide product development and user engagement strategies.

Participate in both front-end and back-end development to support our customers and customer success team.

Design database systems using our existing SQL database and graphql API that perform at scale.

Continuously improve the performance, scalability, and reliability of our systems.

Implement best practices for data security and integrity throughout the development process.

Work closely with the team to iterate on solutions that meet company goals and user needs.

Collaborate across teams to ensure that data-driven features are aligned with the overall product vision.

Nice to Have

Experience building ML models.

Experience in multi family real estate.

Experience with statically typed programming languages.

Experience writing unit, integration and end-to-end tests.

What We Offer

The opportunity to be part of a pioneering team in a high-growth industry, shaping the future of AI in real estate.

Direct collaboration with the startup’s top leadership, offering a unique insight into business management and strategic decision-making.

A competitive salary with equity options.

Comprehensive benefits package including health, dental, and vision insurance.

Flexible working conditions with the option to work remotely.

A dynamic, innovative, and supportive work environment.

Company Values

Fast and Transparent: Speed is a competitive advantage -- but only when paired with transparency. We bias toward action, share information openly, and never let slowness become a default

Solve It: We don't hand problems back. We take ownership, figure it out, and deliver. Excellence is at the core of everything we do.

Customer Obsessed: Our customers are the reason we build what we build. We listen closely and let real problems drive our product.

Candid but kind: We say what we mean, directly and with care. Feedback is a gift. We have the hard conversations, because glossing over the truth doesn't serve anyone. ‍

Win Together: We share credit, support each other, and leave the ego at the door. The best idea wins, regardless of who had it. When things go wrong, we fix it together -- no blame, just learning.