Director, Data – AI

Curri

. Own the data and machine learning roadmap and tie it to product outcomes and company metrics .

Posted 9/24/2026full-timeRemote • California • United StatesLead💰 $220,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and data strategy, with a focus on driving product outcomes and analytics. Proven ability to lead teams, manage data platforms like Snowflake, and connect data initiatives to measurable business impacts.

Highest-signal resume keywords

Machine Learning StrategyData Platform ManagementTeam LeadershipProduct ImpactData-Driven Decision-Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsModel DeploymentData GovernanceDemand ForecastingRouting OptimizationPricing StrategyPerformance MonitoringData Pipeline ScalingAI Infrastructure

Soft Skills

Clear CommunicationBuilder's BiasTrust Building

Tools & Technologies

SnowflakeModern Data StackAI Tools

Industry Keywords

LogisticsMarketplaceOperationsData-Driven CultureLast-Mile Logistics

About the role

Key responsibilities & impact

Own the data and machine learning roadmap and tie it to product outcomes and company metrics
Partner with product, engineering, and operations to turn data into shipped features, including smarter routing, batching, deadhead reduction, pricing, and ETA accuracy
Identify and drive machine learning and modern AI opportunities from concept to production
Lead machine learning strategy for routing and optimization, demand forecasting, pricing, and delivery intelligence
Move models from prototype to production and own performance, monitoring, and iteration
Make build-versus-buy decisions for models, tooling, and AI infrastructure
Own analytics, metrics, dashboards, and analyses used by leadership
Drive data-informed decision-making across GTM, operations, and finance
Deepen understanding of customers and lanes, including penetration, expansion, and delivery economics
Own the Snowflake data platform and warehouse, including modeling, semantics, and quality
Establish data governance, reliability, and trust
Scale pipelines and infrastructure with company growth
Build, hire, and mentor a high-performing data and ML team
Establish analytical foundations and best practices as the team grows
Lead data and AI initiatives for Curri, which provides on-demand last-mile logistics for construction and adjacent industries

Requirements

What you’ll need

8+ years in data and/or ML
3+ years leading teams at a high-growth company
Track record of product impact
Genuine depth in machine learning, including shipping models into production and owning their outcomes
Fluency with a modern data stack, including Snowflake or equivalent
Strong product and business instincts
History of connecting data work to measurable outcomes and influencing roadmaps alongside product and engineering leaders
Builder's bias and clear communication
Comfortable working hands-on early while scaling a team
Able to earn trust from executives and engineers
Logistics, marketplace, or operations-heavy domain experience is a bonus
Experience standing up an AI-native/agentic approach to data and internal tooling is a bonus
Legally authorized to work in the United States

Benefits

Comp & perks

Equity compensation
Comprehensive health, dental, and vision benefits
401K
Relocation assistance
High-growth, mission-driven environment with direct and measurable impact