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Dynamism is hiring a Former CTO to lead the technical strategy from the founder onwards in New York. You will shape the product, drive architecture across front-end, backend, data, and production support, and partner with public works teams to define a high-impact roadmap.
As a founding-scale technologist, you will balance customer discovery with fast iteration, hire and guide a small engineering team, and own critical stack decisions including React, TypeScript, Mapbox, and geospatial data
Base salary: $200K to $300K plus equity
Location: New York, 4 days in person | Full time
The best startup problems are specific enough to see and important enough to matter. Here, the problem is how a city knows which road needs work next. Covington, Kentucky, is bringing the platform into pavement planning, and Alexandria, Kentucky, reports a major reduction in manual survey work. Bring founder-level judgment to the next customer problem and build the answer.
We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets.
The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory.
Work directly with the founder and public works teams to decide what should exist, then build it. The role reaches from customer discovery and product strategy into interface, backend, data, and production support.
Cities vary in their records, budgets, and approval processes. You will identify what should become a repeatable product and what needs a careful local workflow, while keeping the evidence behind every recommendation visible.