Engineering Lead

About HomeVision:

HomeVision is building products to modernize and revolutionize the real estate valuation industry to create a more efficient, transparent, and equitable US housing market. Our first products leverage technologies such as NLP and computer vision to automatically underwrite appraisals for the mortgage industry and utilize large data sets to help appraisers create valuations more efficiently.

We’re well-funded by Initialized Capital, seeing good traction, and quickly growing our revenue, product and team. We’re seeking an engineering leader that can grow and architect our technology platform as well as grow and mentor our engineering team.

This role requires strong empathy for our users, capacity to understand complex ecosystems and requirements, and an ability to guide and build pragmatic technology solutions for business products. You’ll also need to have interest in fintech, financial services, or real estate. You’ll work directly with the co-founders to build our vision of how the valuation industry should work.

What you’ll do:

This role is unique because it demands a senior engineering leader who can contribute directly to our codebase, extend and architect our platform with an eye towards growth, and mentor other engineers. The ideal candidate will have deep technical experience to set a broad technical vision, initiate its development, and strong leadership skills to unify a team behind its execution.

Our current stack is a modern React/Typescript and Golang stack. We use PostgreSQL, Elasticsearch, AWS and GCP. Our engineers work on entire products— everything from productionizing a valuation model to building frontend data visualizations that help communicate results in a human, intuitive way to our users and customers.

What you’ll bring:

• Strong experience in full-stack development and frameworks
• Ability to learn and master new programming languages and technologies
• Experience mentoring engineers, running a development process, and building a culture that emphasizes responsibility, rigor, and collaboration

Bonus points:

• Experience in scientific and numerical computing (e.g., numpy, scipy, scikit-learn, tensorflow, pytorch, jupyter) considered a plus
• Experience in one or more of the following technologies: Go, Python, React/Typescript, Elasticsearch, and Docker and familiarity with machine learning concepts.