Our client is a leader in the single-family rental (SFR) investment market, offering a comprehensive platform designed to make real estate investing more accessible, cost-effective, and straightforward.
They combine a deep passion for helping investors build wealth through real estate with cutting-edge technology that redefines the investment process.
With a dynamic team of over 600 professionals, their collaborative and proactive culture drives their rapid growth. After closing a Series E funding round last year and raising $240 million, the company continues to expand its presence with offices in California, Texas, and New York, alongside numerous remote opportunities.
Their growth strategy includes the recent acquisitions of Great Jones (a full-service property management company), Stessa (financial management software), Rent Prep (tenant screening and placement services), and Mynd (a property management platform for both retail and institutional investors).
About the role :
We are seeking a seasoned Engineering Manager to become part of their team. In this role, you'll oversee a group of AI Engineers working on GenAI infrastructure and applications.
You will collaborate with senior members from Product, Data, and Engineering teams to fine-tune and implement GenAI strategy.
Your duties will span across People, Process, and Technology. You will lead your team in areas such as recruitment, mentorship, and performance oversight.
Additionally, you will propose and improve engineering workflows to foster responsibility and efficiency. You'll collaborate with your engineers to develop a technical roadmap that emphasizes scalability and maintenance, while also encouraging innovation within the team.
This position reports directly to the VP of Data within the Data department.
Data is centralized at the company, offering solutions that support all their applications and business operations.
What you will do :
Build and manage an engineering team spread across various time zones and countries.
Uphold high standards for communication, ownership, and quality, with a focus on asynchronous execution.
Develop future technical leaders by encouraging both technical and interpersonal skill development, and identifying mentorship and training opportunities.
Ensure team tasks are visible, well-organized, on track, and that expectations are effectively managed.
Ensure team processes and documentation are followed and continuously improved.
Collaborate with other leaders to refine and execute on our GenAI strategy, including building infrastructure for other teams and applications, and developing end-to-end solutions.
Provide clear guidance in a dynamic startup environment, and empower your teams to navigate ambiguity.
About you
5+ years of experience as an individual contributor engineer.
3+ years of experience leading engineering teams.
Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
Extensive experience developing AI applications, ideally using GenAI technology with Agents, RAG, and LLMs.
Proficiency in Java, Python, distributed systems architecture (microservices), and working with data assets.
Strong ability to comprehend, troubleshoot, and clearly convey technical challenges and solutions.
In-depth knowledge of Processes and experience building and optimizing high-performing teams.
Empathy towards team members, with the ability to engage in difficult conversations,
demand excellence, and foster a culture that drives sustained success.
Adaptable in applying software best practices to non-deterministic solutions.
Conditions :
- Fluent in English.
- An independent engineer (not associated with an agency) with the ability to work approximately 40 hours per week, Monday-Friday.
- Committed to being available until noon Pacific Time (not necessarily working but responsive on Slack and attending occasional meetings).
- A camera and microphone are required for interviews and further team meetings / discussions.
- Remote position, collaborating with a distributed team of engineers across the Americas and Eurasia.
- Weekly wages.
