Treeswift Offices

Lead Treeswift’s machine learning team and technical direction, improving model quality, training and inference pipelines, MLOps, and edge deployment. Develop models using sensor data such as images, video, LiDAR, and point clouds. Establish dataset curation, evaluation, and feedback processes, collaborate with software, robotics, hardware, and product teams, and mentor engineers across distributed offices.

Coordinate interviews across hiring teams, manage candidate communication and interview logistics, maintain accurate ATS records, support offers and sourcing, and improve recruiting workflows. The role partners with recruiters and hiring managers to keep searches organized and moving forward while strengthening candidate experience. It requires strong organization, communication, follow-through, and comfort working in a fast-paced NYC startup environment.

Own full-cycle enterprise sales into electric utilities and infrastructure: generate new opportunities, manage complex multi-stakeholder deals, convert pilots to enterprise deployments, guide contracting and procurement, represent technical product value, build ROI-driven business cases, and drive multi-year account strategies while partnering cross-functionally to support adoption and expansion.