About this role
The Director, Data & AI will focus on establishing and driving the data and machine learning strategy for Curri, a company focused on providing on-demand, last-mile logistics solutions. The day-to-day involves setting the end-to-end roadmap for data and ML, ensuring these initiatives are directly tied to key product outcomes and overall company metrics. This role requires a strong leader who moves beyond standard reporting to actively partner with product and engineering teams to translate data insights into tangible, shipped features, such as improved routing and ETA accuracy.
A core responsibility is leading the machine learning strategy across key areas like routing, demand forecasting, and pricing, moving models from initial concepts through to production and managing their performance in a live environment. Furthermore, the role encompasses owning the analytics function that informs crucial business decisions across various departments, from Go-to-Market to operations. This position is designed for an AI-forward leader who can build the necessary platform and team structure to make Curri smarter with every delivery.
This role is ideal for an individual who possesses both deep technical expertise in ML systems and strong business acumen, capable of making critical build-vs-buy decisions. The successful candidate will be someone who can establish data governance standards and mentor a high-performing team while maintaining a focus on delivering real, physical outcomes that impact logistics operations.
What you will do
- Own the data and machine learning roadmap, aligning it directly with product outcomes and company metrics.
- Partner with product, engineering, and operations to convert data into shipped features like smarter routing and pricing.
- Drive the strategy for machine learning in areas such as routing, optimization, demand forecasting, and delivery intelligence.
- Lead the process of moving machine learning models from prototype to production, including performance monitoring and iteration.
- Own the analytics function that provides the metrics and analyses leadership relies on for company-wide decision-making.
- Oversee the data platform, including Snowflake, ensuring data modeling, semantics, and quality standards are maintained.
- Establish data governance, reliability, and trust standards across the organization.
What you need
- Requires a minimum of eight years of experience in data and/or machine learning.
- Must have experience leading at least three teams within a high-growth company, demonstrating a track record of product impact.
- Demonstrates genuine depth in machine learning, evidenced by shipping models into production and owning their real-world outcomes.
- Must be fluent with a modern data stack, specifically Snowflake or an equivalent, with the judgment to build foundational infrastructure.
- Possesses strong product and business instincts, with a proven history of linking data work to measurable results.
- Requires a builder's bias and clear communication skills, enabling hands-on work while scaling a team.
- Must be capable of earning trust from both executive leadership and engineering teams.
Nice to have
- Logistics, marketplace, or operations-heavy domain experience
- Experience standing up an AI-native / agentic approach to data and internal tooling
Benefits
- Competitive salary
- Equity compensation
- Comprehensive benefits (health, dental, vision, 401K)
Skills and tech stack
Questions candidates ask
What is the remote policy?
The posting does not explicitly detail the remote work policy for this role.
What is the compensation structure?
The role offers a competitive salary ranging from $220K to $260K, along with equity compensation.
What is the primary technology stack?
The required tech stack includes Snowflake or an equivalent, which the candidate must be fluent in for data platform ownership.
What is the team structure like?
The role involves building, hiring, and mentoring a high-performing data and ML team, setting the bar for craft and best practices.