About the Team:

We are a team of engineers, scientists, and domain experts dedicated to making housing and building development more sustainable and equitable. At Anori, we believe that to meet the global housing demand, we must build differently than we have before.

We are developing novel AI solutions to address complex challenges in these industries, driving a transformation in building performance, efficiency, and sustainability. This is a rare opportunity to shape an early-stage company in an extremely meaningful way.

The Role

We are looking for a technical powerhouse who is equally comfortable in a code editor and a customer boardroom. You will spend your time solving the "last mile" problem—ensuring our customers can successfully adopt and get value from our platform.

You are a problem solver with deep user empathy, outstanding customer communication, and strong software engineering chops. This is a role for engineers who love wearing multiple hats: you will craft data pipelines, write Python code, and interact directly with high-value customers. You will be a key member of a talented, interdisciplinary team building an AI platform from the ground up.

How You Will Make an Impact

• Lead Technical Onboarding: Architect data pipelines to ingest complex geospatial datasets and ensure seamless customer adoption.
• Bridge the Gap: Develop custom features in Python and capture nuanced product requirements to guide our roadmap.
• Build & Deliver: Design software solutions and integrations that deliver immediate, tangible value to our customers.
• Collaborate Cross-Functionally: Work closely with other engineers, account managers, domain experts, and PMs to align technical execution with business goals.

What You Should Have

• Experience: 3+ years of experience in software engineering with a strong customer-facing track record.
• Python Proficiency: Demonstrated ability to write production-ready Python for data manipulation and API integrations.
• Data Expertise: Experience with SQL and cloud data warehouses for data analysis.
• Communication: Outstanding technical communication skills and the ability to lead high-stakes customer interactions.
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Travel Readiness: This role may involve frequent (1-2 times per quarter) domestic and international travel 

It’d Be Great If You Also Had

• Geospatial Expertise: Experience working with geospatial data formats (e.g., GeoJSON, shapefiles).
• Full-Stack Skills: Experience building and maintaining full-stack applications.
• Startup Mindset: Experience in early-stage companies with rapidly evolving requirements.
• Industry Context: Familiarity with the Architecture, Engineering, and Construction (AEC) industry is a plus, but not necessary.