Vice President of AI & Platforms

Join Veho as the Vice President of AI & Platforms, where you will transform the Tech organization by building platforms that make AI accessible for everyone. You will lead the data science and operations research function, invest in workflows that accelerate time to value, and build a global team to scale. Your success will be measured by the impact your teams have on key company metrics and the velocity at which software and data science models are shipped.

• Transform how Veho's Tech organization builds by shifting the focus of engineers and data scientists, enabling them to concentrate on their core competencies.
• Build the platforms that facilitate this transformation and lead a global team to scale it, ensuring that the platforms are adopted and relied upon by other teams.
• Lead the data science and operations research function, investing in workflows that accelerate time to value and making AI accessible to all departments within Veho.

• 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
• 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