Pay
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,008 postings in the last year. Stated ranges, not salaries paid.
Ventura, CA · Remote - United States · Ventura, CA, United States
Live, first seen by us 42 days agoLocation type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Technology › EngineeringFrom the employer’s posting
Will you now or in the future require sponsorship for employment visa status (e.g., H-1B, TN, OPT)?From the employer’s application form
Own the data and ML roadmap and tie it to product outcomes and company metrics
Move ML models from prototype to production and own their performance and monitoring
Own the analytics function, including the metrics and dashboards leadership relies on
Own the Snowflake data platform, including modeling, semantics, and quality
Build, hire, and mentor a high-performing data and ML team
Own the data and machine learning roadmap, and tie it directly to product outcomes and company metrics.
Move models from prototype to production and own their performance, monitoring, and iteration in the real world.
Own the analytics function that steers the business — the metrics, dashboards, and analyses leadership relies on.
Own the data platform and warehouse (Snowflake), including modeling, semantics, and quality.
Build, hire, and mentor a high-performing data and ML team.
8+ years in data and/or ML, including 3+ leading teams at a high-growth company
Genuine depth in machine learning: you've shipped models into production and owned their outcomes.
Fluency with a modern data stack (Snowflake or equivalent)
with a track record of product impact
A builder's bias and clear communication, comfortable going hands-on early while scaling a team
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,008 postings in the last year. Stated ranges, not salaries paid.
Day 42
Similar jobs usually come down between day 7 and day 54.
From 8,229 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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.
- 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.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
The role:
Curri is building the network and software that move the world’s goods with speed, intelligence, and trust. We're looking for a Director of Data — an AI-forward leader who owns Curri's data end to end, from the analytics that steer the business to the machine learning that ships into the product.
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.
Who are we?
We are Curri, and our mission is to build the network and software that move the world’s goods with speed, intelligence, and trust. Curri provides on-demand, last-mile logistics for construction and adjacent industries with our nationwide fleet of cars, trucks, and flatbeds.
Founded in 2018 and part of the YC S19 Batch, we’re solving the massive inefficiencies that exist in the construction industry. Our headquarters are in Ventura, CA. Learn more at curri.com.
Curri is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment. We don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Ventura, CA, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.