VP, AI & Platforms

About the role

You will 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 will build the platforms that make this real - and build a global team to scale it.

Responsibilities

• Build the data science and operations research function and invest in workflows that accelerate time to value.
• Open the aperture of engineering and data to the rest of the Veho org and make AI accessible for everyone at Veho.
• 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.
• Absorb 75% of coding tasks handled by agents.
• 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.

Requirements

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.

Qualifications

• Preferred Experience at companies with strong ML Platform / MLE cultures
• Has led engineering or Data Science and understands what it means to scale
• Experience building or leading distributed and remote teams
• Background in logistics, delivery, or marketplace tech

Skills

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.

Benefits

No benefits mentioned in the job posting.

Pay

No pay information provided in the job posting.

Schedule

No schedule information provided in the job posting.