Director, Data & AI

Curri • $150K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in data and/or ML with 3+ years in leadership roles at high-growth companies.
  • Proven experience in deploying machine learning models to production and owning their outcomes.
  • Familiarity with a modern data stack (e.g., Snowflake) and the ability to establish effective foundations.
  • Strong product instincts and a proven track record of aligning data work with business outcomes.
  • Exceptional communication skills and a hands-on approach to building teams.

Responsibilities

  • Own the data and ML roadmap, aligning it with product outcomes and company metrics.
  • Collaborate with product, engineering, and operations teams to convert data insights into features.
  • Lead the machine learning strategy focused on optimization, forecasting, pricing, and delivery intelligence.
  • Transition machine learning models from prototype to production while overseeing their performance.
  • Manage the analytics function, providing critical metrics and dashboard insights for leadership decision-making.
  • Oversee the data platform and warehouse, ensuring high modeling and data quality standards.
  • Build and mentor a top-tier data and ML team while establishing best practices.

Benefits

  • A unique dual mandate of managing analytics and leading machine learning efforts.
  • Opportunities to influence tangible outcomes in logistics, directly impacting operations.
  • Early-stage role with the potential to shape the function while having adequate resources.
  • Comprehensive benefits package, including health, dental, vision, 401K, and equity compensation.
  • Engagement in a high-growth, mission-oriented company with measurable impacts from your work.
Full Job Description
The role:

This is not a reporting-and-dashboards role. You'll set the data and ML roadmap, partner with product and engineering to turn data into shipped features, and build the team and platform that make Curri smarter with every delivery.

What you'll own:

Roadmap & product impact
  • Own the data and machine learning roadmap, and tie it directly to product outcomes and company metrics.
  • Partner with product, engineering, and operations to turn data into shipped features - smarter routing, batching, deadhead reduction, pricing, and ETA accuracy.
  • Bring an AI-forward point of view: identify where machine learning and modern AI make the product materially better, and drive those bets from concept to production.

Machine learning
  • Lead the strategy for machine learning in the Curri product - routing and optimization, demand forecasting, pricing, and delivery intelligence.
  • Move models from prototype to production and own their performance, monitoring, and iteration in the real world.
  • Make build-vs-buy calls on models, tooling, and AI infrastructure.

Analytics & decision-making
  • Own the analytics function that steers the business - the metrics, dashboards, and analyses leadership relies on.
  • Drive data-informed decision-making across the company, from GTM to operations to finance.
  • Deepen Curri's understanding of customers and lanes - penetration, expansion, and delivery economics.

Platform & foundations
  • Own the data platform and warehouse (Snowflake), including modeling, semantics, and quality.
  • Set the standard for data governance, reliability, and trust so the whole company can build on it.
  • Ensure the pipelines and infrastructure scale with Curri's growth.

Team & leadership
  • Build, hire, and mentor a high-performing data and ML team.
  • Set the bar for craft, and establish the analytical foundations and best practices as the team grows.

What you need to have:
  • 8+ years in data and/or ML, including 3+ leading teams at a high-growth company, with a track record of product impact.
  • Genuine depth in machine learning: you've shipped models into production and owned their outcomes.
  • Fluency with a modern data stack (Snowflake or equivalent) and the judgment to build the right foundations.
  • Strong product and business instincts, with a history of connecting data work to measurable outcomes and influencing a roadmap alongside product and engineering leaders.
  • A builder's bias and clear communication, comfortable going hands-on early while scaling a team, and able to earn trust from both executives and engineers.

Bonus points for:
  • Logistics, marketplace, or operations-heavy domain experience.
  • Experience standing up an AI-native / agentic approach to data and internal tooling.
  • Our headquarters are in Ventura, CA, and we have a strong preference for candidates in the Ventura and greater Los Angeles area. Relocation assistance is provided.

What is in for you:
  • A dual mandate that's rare: own the analytics that runs the business and the ML that powers the product.
  • Real, physical outcomes - your models move trucks, not just pixels.
  • Early enough to shape the function, resourced enough to ship.
  • Competitive salary, equity compensation, and comprehensive benefits (health, dental, vision, 401K).
  • A high-growth, mission-driven environment where your work has direct and measurable impact.


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