Senior Software Engineering - Machine Learning

Our software drives electrification and high‑efficiency technologies, helping accelerate society’s transition to clean energy. Backed by leading investors—including Coatue, Floodgate, Gigascale, ReGen, MCJ, and the founders of Aurora Solar—we’re now growing our engineering team and looking for a passionate, driven software engineer ready to shape the future.

We are building an advanced AI‑driven analytics platform designed to change how HVAC contractors market and finance energy‑efficient technologies. Our platform leverages machine learning to identify homes ideally suited for electrification upgrades, particularly heat pumps. We empower contractors to streamline their marketing and sales efforts and accelerate the adoption of sustainable solutions. We have customers across the United States.

We're hiring a Software Engineer to join our tight‑knit engineering team of four. In this high‑impact and fast‑paced role, you'll collaborate directly with our founders to build products at the cutting edge of technology and sustainability. This role requires in‑person collaboration 3-4 days per week at our San Francisco office (WeWork or office on Union Square).

Build and enhance core product features, from backend logic to intuitive user interfaces.

Own your work end‑to‑end, from concept through deployment.

Experiment and innovate with new technologies, particularly in AI/ML, to enhance our offerings.

Startup Experience: 5+ years software engineering experience in a fast‑paced startup environment.

Technical Stack: Proficiency in TypeScript (our stack includes Node.js, Next.js, PostgreSQL).

ML experience: Exposure to classic ML workflows (even through side projects): data cleaning, model training, and iteration.

Strong Bonuses:

Experience handling large‑scale datasets—we deal with billions of records and focus heavily on query performance.

Familiarity with leading‑edge AI productivity tools (Cursor, Windsurf, MCP, etc.).

Philipp, Co‑Founder & CEO - MBA and Master’s in Environmental Science from Stanford; led global solar projects with 180+ employees; built AI tools for first responders;