Xora Innovation · 1 month ago
VP of AI (Xora Portfolio Company)
Xora Innovation is a leading global AI and deep tech venture firm, and they are seeking a hands-on, visionary VP of AI to architect, code, build, and lead the AI organization at 4MP. This role involves shaping the company’s technical architecture and product direction while integrating multidisciplinary data and building intelligence layers for autonomous manufacturing.
FinTechVenture CapitalInformation TechnologyImpact Investing
Responsibilities
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
Qualification
Required
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
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
Preferred
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
Company
Xora Innovation
Xora Innovation is an investment platform that specializes in early-stage deep tech venture investments to accelerate the path to market.
Funding
Current Stage
Early StageRecent News
2026-06-19
2026-06-19
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