We build and back companies of consequence within the Electron Economy.
CEO, Co-Founder
Location
United States
Posted
130 days ago
Salary
0
Seniority
Senior
Job Description
CEO, Co-Founder
Montauk Capital
• 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. • Create the roadmap by securing strategic "toehold" pilots in high-velocity, mid-consequence verticals (e.g., industrial automation, robotics). • Build the fine-tuning data strategy necessary to build a durable moat against generic incumbent models. • 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. • 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. • Drive the external fundraise process with our support, identify and engage with partners to progress company along verticals and strategic partnerships.
Job Requirements
- 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.
Benefits
- Health insurance
- Flexible work arrangements
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