
CEO, Co-Founder
Posted Jun 24

Posted Jun 24
This is a fully remote position, open to applicants in United States.
β’ Articulate and promote the vision as the vertical-specific "System of Action," developing and advancing beyond basic text-to-CAD tools to create an "autonomous mechanical engineer" that manages the complete design-to-manufacture process.
β’ Establish the roadmap by obtaining strategic "toehold" pilots in fast-paced, mid-consequence sectors (e.g., industrial automation, robotics).
β’ Develop a fine-tuning data strategy essential for creating a sustainable competitive advantage against generic incumbent models.
β’ Oversee the transition from initial pilot to a 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 short-term utility with long-term autonomy.
β’ Collaborate with us in recruiting a high-caliber technical co-founder and founding team with exceptional cross-disciplinary expertise in geometric kernels (Parasolid, ACIS), agentic AI, and mechanical engineering workflows.
β’ Lead the external fundraising process with our assistance, identifying and engaging partners to advance the company along verticals and foster strategic partnerships.
β’ Minimum of 5 years of technical leadership experience, ideally within industrial SaaS, CAD/CAM software, or AI-driven workflow automation.
β’ Proven experience in developing and deploying industrial verticals, such as robotics, for manufacturing applications.
β’ Domain Expertise (CAD/PLM): Profound understanding of the engineering software landscape, including the friction between "System of Record" (PLM) and CAD software, as well as the technical constraints of geometric kernels.
β’ Agentic AI Strategy: Proficiency in conceptualizing and implementing agentic workflows that function as a "peer" to the engineer, employing technologies like the Model Context Protocol (MCP) to integrate fragmented toolchains alongside our proprietary fine-tuned large language models.
β’ Proven track record of monetizing data strategies, particularly in transforming pilot data access into a defensible, proprietary global model.
β’ Operational Agility: Ability to iterate swiftly in "mid-consequence" markets (e.g., consumer hardware tooling) to validate technology prior to scaling to higher-liability sectors like aerospace.
β’ Technical Fluency: Adequate technical understanding to collaborate effectively with a kernel-expert CTO and define product requirements for complex constraint solvers and feature-tree logic.
β’ Experience in scaling early-stage ventures, specifically navigating the "0 to 1" phase of achieving product-market fit and securing initial enterprise partners.
β’ Health insurance
β’ Flexible work arrangements
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