Director, Data – AI

This is a fully remote position, open to applicants in California.

📋 Description

• Take ownership of the data and machine learning roadmap, aligning it with product outcomes and company metrics.

• Collaborate with product, engineering, and operations teams to transform data into deployable features, such as enhanced routing, batching, reduction of deadhead miles, pricing, and ETA precision.

• Identify and spearhead machine learning and modern AI initiatives from initial concept to full production.

• Direct the machine learning strategy for routing and optimization, demand forecasting, pricing, and delivery intelligence.

• Transition models from prototype to production while managing their performance, monitoring, and iterative improvements.

• Make informed decisions regarding build-versus-buy for models, tools, and AI infrastructure.

• Oversee analytics, metrics, dashboards, and analyses utilized by leadership.

• Promote data-driven decision-making across go-to-market (GTM), operations, and finance teams.

• Enhance understanding of customers and lanes, focusing on penetration, expansion, and delivery economics.

• Manage the Snowflake data platform and warehouse, including modeling, semantics, and quality assurance.

• Establish data governance, reliability, and trust within the organization.

• Scale data pipelines and infrastructure in line with company growth.

• Recruit, build, and mentor a high-performing data and machine learning team.

• Set analytical foundations and best practices as the team expands.

• Lead data and AI initiatives for Curri, which specializes in on-demand last-mile logistics for construction and related industries.

⛳️ Requirements

• A minimum of 8 years of experience in data and/or machine learning.

• At least 3 years of experience leading teams in a high-growth environment.

• Proven track record of delivering product impact.

• In-depth expertise in machine learning, including deploying models into production and managing their outcomes.

• Proficient with a modern data stack, such as Snowflake or equivalent technologies.

• Strong instincts for product and business strategy.

• History of linking data initiatives to measurable outcomes and influencing roadmaps alongside product and engineering leaders.

• Possess a builder's mindset and effective communication skills.

• Comfortable taking a hands-on approach initially while scaling a team.

• Capable of earning trust from executives and engineers alike.

• Experience in logistics, marketplace, or operations-heavy domains is a plus.

• Familiarity with establishing an AI-native or agentic approach to data and internal tools is an advantage.

• Must be legally authorized to work in the United States.

🏝️ Benefits

• Equity compensation.

• Comprehensive health, dental, and vision benefits.

• 401K retirement plan.

• Relocation assistance.

• A high-growth, mission-driven environment with direct and measurable impact.