
1 - 10 employees
Founded 2023
💸 Finance
⚡ Energy
☁️ SaaS
Finance • Energy • SaaS
Montauk Capital is a venture investment and operating firm founded in 2023 that builds and invests across the 'Electron Economy'—companies at the intersection of electrification, infrastructure, AI, Web3, fintech, and sustainability. Montauk partners with founders to create software-driven solutions focused on AI infrastructure, logistics and industrial efficiency, energy and resiliency (smart buildings, energy systems), marketplaces and financial/insurance innovations, and data center and power infrastructure. Their portfolio includes parametric climate insurance, AI energy procurement tools, Web3 drone data platforms, novel data center infrastructure, and an electricity-futures-backed stablecoin. The team combines investment, operational, and sector experience in energy, climate tech, infrastructure, and venture-backed scaling.
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1 - 10 employees
Founded 2023
💸 Finance
⚡ Energy
☁️ SaaS
Finance • Energy • SaaS
Montauk Capital is a venture investment and operating firm founded in 2023 that builds and invests across the 'Electron Economy'—companies at the intersection of electrification, infrastructure, AI, Web3, fintech, and sustainability. Montauk partners with founders to create software-driven solutions focused on AI infrastructure, logistics and industrial efficiency, energy and resiliency (smart buildings, energy systems), marketplaces and financial/insurance innovations, and data center and power infrastructure. Their portfolio includes parametric climate insurance, AI energy procurement tools, Web3 drone data platforms, novel data center infrastructure, and an electricity-futures-backed stablecoin. The team combines investment, operational, and sector experience in energy, climate tech, infrastructure, and venture-backed scaling.
• 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.
• 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.
• Health insurance • Flexible work arrangements
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