Role Description 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. Qualifications - 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 with robotics, autonomous systems, industrial systems, physics-informed machine learning, reinforcement learning, control systems, simulation, digital twins, or real-world telemetry. - System Architecture Expertise: Deep experience designing and building production-grade AI, ML, data, or software infrastructure from the ground up. - Strong Coding and Data Proficiency: Exceptional hands-on coding skills and ability to manage data pipelines, model orchestration, validation, feedback loops, and complex, messy, real-world data. - Core AI/ML Expertise: Strong, up-to-date understanding of optimization, statistical modeling, and system-level AI design. - Educational Foundation: Bachelor’s degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field. What Will Set You Apart - Advanced Degree: Master’s or PhD in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field. - Startup & Scaling Experience: 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.). - “Can Do”, Driven Attitude: A track record of turning ambiguous, unsolved technical problems into reliable, working systems where no playbook existed. - Systems Thinker: A focus on building foundational, long-term scalable platforms and intelligent systems rather than just standalone models. - Visionary Drive: 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.

• formulate and execute the holistic commercial strategy as the P&L owner • orchestrate the strategic transition toward high-growth strategic products • cultivate an entrepreneurial, high-performing culture • proactively influence and guide a broad network of embedded, cross-functional resources • operate with customer-first thinking • lead the technological evolution of regional category systems and processes • collaborate closely with global executive stakeholders

• Develop and drive the multi-year technical roadmap, investment strategy, and lifecycle execution for Aerospike’s core distributed database and its supporting ecosystem. • Translate platform goals into an integrated roadmap covering multiple product areas. • Make thoughtful investment decisions across net-new innovation, elastic platform scalability, multi-tenant cloud economics, and absolute operational reliability. • Conduct regular market and competitive analysis to identify trends and inform strategy. • Collaborate with engineering, field, marketing, customer success, and design teams to deliver aligned and effective outcomes. • Maintain a clear understanding of user needs and advocate for user experience improvements throughout the product lifecycle. • Maintain a portfolio-level view across all related products, ensuring clarity of ownership and coordination. • Prioritize initiatives and themes based on customer needs, technical constraints, and business impact. • Use product data, telemetry, and customer feedback to inform roadmap and success measures. • Support long-term planning and roadmap development across multiple time horizons. • Act as an executive sponsor and senior point of contact for key customers. • Build a deep understanding of enterprise use cases, particularly hybrid and cloud-native deployments. • Represent the developer and database operator perspectives in product decisions and core engineering cycles, driving friction-free deployment automation and world class observability into the platform. • Lead and mentor a team of product managers across the portfolio. • Define and track key performance indicators such as adoption, satisfaction, and business value. • Ensure ongoing measurement of product performance, quality, and customer impact. • Partner with engineering leadership to ensure timely and high-quality product delivery. • Arm sales engineering, marketing, and customer success teams with the technical blueprints and value propositions required to land new and accelerate enterprise adoption.

• Set clinical strategy and lead the Utilization Management organization. • Oversee the integration of medical doctors and registered nurses in UM across Medicaid and Medicare. • Provide leadership in risk management, grievance and appeals, clinical contracting, vendor management, and UM dental review. • Ensure the clinician’s perspective is central to organizational decision-making. • Leverage analytics to inform strategy and performance improvement. • Sponsor the development of clinical talent and leadership pipeline.