VP of AI (Xora Portfolio Company)

Xora Innovation

21d

About The Position

At 4MP, we are building a new technological foundation for precision manufacturing. Our systems enable CNC machines to self-measure, self-correct, and continuously improve their performance – transforming conventional machine tools into autonomous precision systems. Backed by Xora Innovation (“Xora”) and extensively vetted by recognized experts across industry and government laboratories, 4MP is at the beginning of a category-defining journey. We are transitioning from early development into building a visionary company that will redefine how precision manufacturing is done globally.

We are seeking a hands-on, visionary VP of AI who can architect, code, build, and lead from the front. You will work directly with the founding leadership team across software, machine physics, geometry, metrology, and data infrastructure to build the intelligence layer for a new category of manufacturing. Joining at this seed stage means you will have a foundational voice in shaping the company, the technical architecture, and our future product direction. You will not simply lead an AI function; you will define how AI becomes the foundational layer of autonomous manufacturing.

Requirements

• Proven experience building and managing an AI organization while doing hands-on technical work.
• Comfortable leading teams while actively contributing to the codebase.
• 10+ Years of Experience: Deep background in AI, software engineering, machine learning architecture, robotics, intelligent systems, or complex technical platforms.
• Direct experience with robotics, autonomous systems, industrial systems, physics-informed machine learning, reinforcement learning, control systems, simulation, digital twins, or real-world telemetry.
• Deep experience designing and building production-grade AI, ML, data, or software infrastructure from the ground up.
• Exceptional hands-on coding skills and ability to manage data pipelines, model orchestration, validation, feedback loops, and complex, messy, real-world data.
• Strong, up-to-date understanding of optimization, statistical modeling, and system-level AI design.
• Bachelor’s degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.

Nice To Haves

• Master’s or PhD in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.
• An ideal candidate will bring a unique blend of agile startup experience alongside a proven track record of navigating the growth, product-focused phase at a major AI organization (such as OpenAI, Anthropic, Google, Meta, etc.).
• A track record of turning ambiguous, unsolved technical problems into reliable, working systems where no playbook existed.
• A focus on building foundational, long-term scalable platforms and intelligent systems rather than just standalone models.
• You are not just looking for a senior title; you are looking for the opportunity to achieve a career-defining milestone by building a platform that fundamentally reshapes an entire industry.

Responsibilities

• Build and manage the AI organization at 4MP, while doing hands-on technical work.
• Recruit and mentor a world-class team while architecting the AI modules, writing code, reviewing architecture, and building prototypes alongside them.
• Design and develop the intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions.
• Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context.
• Build AI systems to extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles.
• Develop feedback loops that combine AI reasoning with physics-based models and sensor data, allowing machines to improve from each correction cycle and production result.
• Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments.
• Define simulation and validation environments for training, testing, and scaling autonomous correction models.
• Contribute to defining the company strategy, technology and business roadmaps, and comprehensive project plans in close interaction with other functional leaders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior