About Montauk Capital

Montauk Capital is an investment management platform that spans venture investing and venture studio efforts that builds and invests in capital in category leading companies. We focus on backing tech companies in the ‘Electron Economy,’ the massive shift toward software-enabled industrial and energy systems. This generational transition is reshaping how we power intelligence, move people and goods, and build resilient industries. From AI, data centers and Web3 to industrial robotics and re-shoring supply chains, the future of growth is built on electrification and the intelligent use of energy.

About Agentic CAD Stealth Co

Born out of Montauk’s venture studio, this company is reimagining mechanical engineering productivity. Today, engineers spend nearly half their time performing repetitive CAD manipulation instead of true design. Existing AI assistants are generic and disconnected from the underlying design tools. Stealth Agentic CAD Company's mission is to build a vertically integrated "System of Action" for mechanical engineers: an intelligent agent embedded within CAD environments that automates cross-tool workflows and progressively learns domain-specific logic.

About the CEO Role

We are seeking a visionary CEO to lead the Company from studio incubation through product-market fit and category creation. This is a rare opportunity to build a transformative vertical AI company from the ground up — reimagining how mechanical engineers design, automate, and ship products by building an "autonomous mechanical engineer" that orchestrates the entire design-to-manufacture loop so human experts can focus entirely on creative innovation.

Key Responsibilities

• Strategic Vision & Category Creation: Define and evangelize the vision as the vertical-specific "System of Action", building and then moving beyond simple text-to-CAD tools to build an "autonomous mechanical engineer" that orchestrates the entire design-to-manufacture loop.

• Commercial Execution & Pilot Acquisition: Create the roadmap by securing strategic "toehold" pilots in high-velocity, mid-consequence verticals (e.g., industrial automation, robotics).

• Data Strategy & Defensibility: Build the fine-tuning data strategy necessary to build a durable moat against generic incumbent models.

• Product Roadmap Orchestration: Guide the evolution from initial pilot to category defining vertical agentic "Phase 1: The Wedge" (a CAD plug-in for immediate workflow automation) to "Phase 2: The Moat" (a cross-application agentic fabric), balancing immediate utility with long-term autonomy.

• Team Building: Partner with us in recruiting a high-caliber technical co-founder and founding team with rare cross-disciplinary expertise in geometric kernels (Parasolid, ACIS), agentic AI, and mechanical engineering workflows.

• Fundraising & Stakeholder Management: Drive the external fundraise process with our support, identify and engage with partners to progress company along verticals and strategic partnerships

Key Attributes

• 5 years of technical leadership experience, preferably within industrial SaaS, CAD/CAM software, or AI-driven workflow automation.

• Experience developing and deploying industrial verticals, ie robotics, for manufacturing

• Domain Depth (CAD/PLM): Deep understanding of the engineering software landscape, including the friction between "System of Record" (PLM) and CAD softwares, and the technical constraints of geometric kernels.

• Agentic AI Strategy: Ability to conceptualize and deploy agentic workflows that operate as a "peer" to the engineer, utilizing technologies like the Model Context Protocol (MCP) to stitch together fragmented toolchains coupled with our own proprietary fine-tuned large language models.

• Demonstrated ability to monetize data strategies, specifically transforming pilot data access into a defensible, proprietary global model.

• Operational Agility: Capability to iterate quickly in "mid-consequence" markets (e.g., consumer hardware tooling) to validate technology before scaling to high-liability sectors like aerospace.

• Technical Fluency: Sufficient technical grasp to partner effectively with a kernel-expert CTO and define product requirements for complex constraint solvers and feature-tree logic.

• Experience scaling early-stage ventures, specifically in navigating the "0 to 1" phase of finding product-market fit and securing initial enterprise partners.