VP, AI & Platforms

About Veho Veho’s mission is to power the future of commerce by making shopping, shipping and returns seamless for everyone.

We are building a modern, end-to-end logistics infrastructure designed entirely for the ever-evolving needs of ecommerce brands and everyday consumers.

Powered by next-generation technology and a vertically integrated supply chain, Veho gives brands and their customers unprecedented control over their deliveries and removes the pain from the ecommerce post-purchase experience. We make delivery the ‘extension of the brand’ and leverage it to create deeper loyalty and trust between brands and their customers, driving customer retention and lifetime value. Our rapidly growing client list includes leading consumer brands like HelloFresh, Zara, Macy’s, Sephora, and more.

To truly build an iconic company, we strongly believe that our people and values must be aligned with our mission. As such, we take pride in our championship team, merit-based culture. We seek team players who want to compete, win, make an impact and build a legacy, and we reward performance and impact players with generous equity and incredible career growth opportunities.

Why This Role Exists You’ll transform how Veho’s Tech org builds. Engineers will primarily review agent output and we will shift the whole Tech org left. Data scientists will stop fighting for data and wrestling with engineering patterns; and can focus on what they do best. You’ll build the platforms that make this real - and build a global team to scale it. You will lead the data science and operations research function and invest in workflows that accelerate time to value. You will then open the aperture of engineering and data to the rest of the Veho org and make AI accessible for everyone at Veho. Ultimately, you’ll make the platform accessible to all of Veho, so builders in every department can ship value every day.

How You’ll Win Time-to-insight cut in half for data teams. Customer critical data science projects shipped on-time and with lower lift. Experimentation becomes a first-class citizen. Accelerate impact by moving key company metrics in the right direction.

Agents handle >75% of coding tasks. A no-code platform powered by AI agents enables builders across the company, not just engineers, to ship value. Data is at everyone’s fingertips through an AI-powered data explorer. A high-functioning global team ships software and data science models at a high velocity. Product Engineering and Data Science can’t imagine working without the platforms your teams ship. You’ll know you’re winning when the way Veho builds software looks nothing like it does today.

What a Great Candidate Looks Like You are a builder. You get your hands in code, you prototype, you ship. You show up with PRs, not slides. You’ve built platforms that other teams depend on and you know what it takes to earn adoption through excellence. Your teams respect you for your technical grasp.

You’ve built and scaled teams. You know how to hire, develop people, and make hard calls. You’ve led distributed teams and know what breaks when you scale. You’ve seen different stages — what works at 10 doesn’t work at 100, and you’ve learned that firsthand. Your success is measured by what your teams ship.

You have deep technical roots. You can have a technical conversation with a data scientist or ML engineer without pulling someone else in. You’ve likely come from an MLE or ML-adjacent background and understand the friction between engineering and data science because you’ve lived on both sides.

You move fast. You ship value in weeks, not quarters. You’re comfortable with explicit tech debt cycles; working solution first, best solution later.

This Role Is NOT For You If

• You need to know the full plan before diving in. We move very fast.
• You don’t like getting into details. We sweat the details. Everyone gets deep.
• You need to build the best thing up front. We build working solutions first, then pay down tech debt.
• You need to solve every issue before moving forward. We find issues, push forward, work around them.
• You’re not willing to be in the warehouse, do customer service, or ship code regardless of level. Boots on the ground is a key pillar of how we operate.

Preferred

• Experience at companies with strong ML Platform / MLE cultures
• Has led engineering or Data Science and understands what it me…