Explore and evaluate opportunities to apply AI and automation within Noda’s product — identifying where new capabilities could unlock value for building owners, operators, and sustainability teams.
Build prototypes and proofs-of-concept for new product features, validating ideas quickly and generating the technical evidence needed to move into full development.
Contribute to product requirements documents for new AI-powered features, working closely with the broader Product team to translate prototypes into well-defined specifications.
Conduct structured interviews and collect feedback from customers and internal teams to deeply understand current workflows, pain points, and unmet needs.
Build requirements documents for internal tooling, translating business needs into clear technical specifications.
Develop and maintain AI-powered internal tools that help Noda’s teams — engineering, customer success, sales, and operations — work more efficiently.
Provide hands-on support to internal teams as they adopt and integrate tools into their day-to-day work.
Stay current on developments in AI, large language models, autonomous agents, and data science, and actively evaluate how emerging capabilities apply to Noda’s product and operations.
Conduct applied research into new automation and AI approaches relevant to the building technology and commercial real estate sectors.

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field.
Hands-on experience building software — whether through coursework, internships, personal projects, or research.
Programming ability in Python; exposure to JavaScript a plus.
Experience in the built environment, with HVAC equipment, and building automation data.
Genuine curiosity about AI, large language models, and autonomous agents — you follow the space, you’ve experimented with the tools, and you have ideas about where it’s going.
Ability to communicate clearly in writing — you can ask good questions, listen carefully, and translate what you hear into a structured document.
Analytical mindset: comfortable with data, able to identify patterns, and willing to back up recommendations with evidence.
Eagerness to learn and contribute in a fast-moving startup environment where you’ll wear multiple hats.

Assistant Product Manager

Key skills