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Curri is building the network and software for on-demand, last-mile logistics in the construction industry. As Director of Data & AI, you will own the company's data strategy end-to-end—from business analytics to machine learning shipped into the product.
Key Responsibilities:
You will set and execute the data and ML roadmap, directly tied to product outcomes and company metrics. Partner with product, engineering, and operations to transform data into shipped features: smarter routing, batching, deadhead reduction, pricing, and ETA accuracy. Lead the machine learning strategy across routing optimization, demand forecasting, pricing, and delivery intelligence, moving models from prototype to production and owning their real-world performance and iteration.
Own the analytics function that steers business decisions—metrics, dashboards, and analyses that leadership relies on. Drive data-informed decision-making across GTM, operations, and finance. Deepen understanding of customer economics and lane penetration.
Own the data platform and warehouse (Snowflake), including modeling, semantics, and data quality. Set standards for governance, reliability, and trust. Ensure pipelines and infrastructure scale with company growth.
Build, hire, and mentor a high-performing data and ML team. Set the bar for craft and establish analytical foundations and best practices as the team grows.
This is a dual mandate: own both the analytics that runs the business and the ML that powers the product. Your work has direct, measurable impact—your models move trucks, not pixels. You'll be early enough to shape the function while resourced enough to ship.
Requirements:
- 8+ years in data and/or ML, including 3+ years leading teams at a high-growth company, with a track record of product impact
- Genuine depth in machine learning: shipped models into production and owned their outcomes
- Fluency with modern data stack (Snowflake or equivalent) and judgment to build the right foundations
- Strong product and business instincts, with history of connecting data work to measurable outcomes and influencing roadmaps alongside product and engineering leaders
- Builder's bias and clear communication; comfortable going hands-on early while scaling a team; able to earn trust from executives and engineers
Bonus:
- Logistics, marketplace, or operations-heavy domain experience
- Experience standing up AI-native or agentic approaches to data and internal tooling
