VP of AI (Xora Portfolio Company)

About 4MP

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.

About Xora Innovation

Xora is a leading global AI and deep tech venture firm backed by Temasek, Singapore’s sovereign wealth fund.  At Xora, we provide capital and long-term commitment to exceptional entrepreneurs who are transforming essential industries.

Our investments focus on three key sectors: AI Infrastructure, Applied AI and Deep Tech. We are active as an early-stage venture investor, preferring to enter at the Seed or Series A stage, and remain deeply committed as long-term partners. We also collaborate with founders to form and launch high-velocity startups based on strong market theses.

Xora’s portfolio companies include:

Celestial AI (Photonic Fabric™ technology platform, exited to Marvell Technologies)

Amperesand (next-gen power infrastructure for AI data centers)

Bedrock Robotics (autonomous machines for construction)

Upscale AI (back-end networking for data centers)

Vinci (physics-driven AI for hardware simulation and design)

About the Role

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.

What You Will Do

• Build and Manage the AI Organization: You will build and manage the AI organization at 4MP, while doing hands-on technical work. You will recruit and mentor a world-class team while architecting the AI modules, writing code, reviewing architecture, and building prototypes alongside them.
• Lead AI Architecture: Design and develop the intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions.
• Integrate Multidisciplinary Data: Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context.
• Interpret & Modify CNC Programs: Build AI systems to extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles.
• Design Learning Frameworks: 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.
• Build Data Infrastructure: Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments.
• Create Simulation Environments: Define simulation and validation environments for training, testing, and scaling autonomous correction models.
• Drive Strategic Cross-Functional Leadership: In close interaction with other functional leaders, you will contribute to defining the company strategy, technology and business roadmaps, and comprehensive project plans.

What We Require

• Hands-On AI Management: Proven experience building and managing an AI organization while doing hands-on technical work. You must be 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.
• Industrial Domain Expertise: Direct experience…