The Technical Project Manager will coordinate engineering planning, maintain project tracking in Linear, and facilitate team communication to ensure delivery. They will also automate project management workflows using AI tools to reduce manual overhead and improve team efficiency.
You will own the geospatial data science function, defining technical strategy for data ingestion and pipeline architecture. You will also lead the development of environmental hazard models and translate complex scientific findings into actionable business intelligence products.
The Customer Solutions Lead manages the customer journey from initial pre-sales solutioning through to successful implementation and go-live. They also act as a bridge to the product team, translating customer feedback and workflow gaps into actionable product requirements.
You will embed within carrier or reinsurer books to analyze exposure, diagnose loss ratio divergences, and provide actionable recommendations to Chief Actuaries. Additionally, you will translate field insights into product roadmap improvements while maintaining direct communication with engineering and leadership.
You will embed within carrier or reinsurer accounts to analyze exposure, diagnose loss ratio divergences, and provide expert recommendations to senior stakeholders. Additionally, you will translate field insights into product roadmap improvements while managing the technical and commercial aspects of the account.
You will embed within carrier or reinsurer teams to analyze exposure, diagnose loss ratio divergences, and provide actionable technical insights. Additionally, you will act as a key commercial authority, shaping the product roadmap and driving market adoption through expert-level technical arguments.
Lead the end-to-end design of a geospatial intelligence platform, focusing on map-based risk dashboards and AI-assisted workflows. Collaborate with engineering and data science teams to translate complex spatial data into intuitive interfaces for non-technical users.
This is an open submission for various roles across Product Engineering, Data Science, Revenue, and G&A. Candidates will contribute to a decision intelligence platform that unifies planetary, governmental, and asset-level data.
