Montauk Capital

Artificial Intelligence

• Global Strategy and P&L Ownership: Define and drive the multi-year physical infrastructure and real estate strategy, ensuring alignment with Perimeter's rapid global expansion goals and financial targets.
• Site Deployment and Qualification: Direct end-to-end site acquisition, qualification, and build-out, turning Letters of Intent into fully operational compute nodes with maximum speed and efficiency.
• Strategic Partnership and Maintenance Leadership: Build, manage, and scale the ecosystem of mission-critical partnerships including high-level relationships with building owners and operators, as well as the critical network of technicians and contractors required for national build-out and ongoing maintenance.

Head of Real Estate

• Conduct deep, tactical site evaluations, specifically assessing mechanical room capacity, existing condenser water loops, and electrical systems for hosting liquid-cooled AI micro data centers.
• Provide first-hand, granular cost and timing estimates for all necessary site upgrades, mechanical/electrical retrofits, and infrastructure gaps to inform partner prioritization and accelerate the deployment pipeline.
• Develop and continuously refine Edge AI’s technical specifications (our "spec") to simplify interpretation and maximize execution efficiency by third-party and building-preferred contractors.
• Partner directly with landlords, property management teams, and their appointed contractors (MEP, electrical outfits) to manage the build-out and physically integrate our solution.
• Serve as the expert resource for contractors, answering technical questions and managing the quality assurance of all build-out work against Edge AI’s refined spec.
• Coordinate and manage access for specialized mobile support/technical field support for ongoing maintenance and upkeep of deployed units.
• Ensure compliant physical and energy integration of Edge AI's modular infrastructure within the building's facilities and energy systems.
• Resolve tactical deployment blockers including network and room readiness, coordinating access, facilities issues, power concerns, and managing waste heat coordination.
• Maintain expertise on heat reclamation and best practices for preparing sites to unlock the full energy-efficiency advantages within a building.

Director of Site Operations

• Own GPU infrastructure design and implementation details from planning through deployment
• Own hardware selection, configuration, and deployment across early compute infrastructure
• Help turn early technical groundwork into a functioning deployed system
• Own the GPU roadmap we use to entice customers and build partnerships
• Deploy, operate, and tune GPU clusters for both bare-metal and internal software stack
• Own resilient networking implementation from each site to the cluster, including a robust OOB network for constant monitoring and management
• Manage deployments at production scale
• Interface with site ops on power, cooling, and connectivity
• Build the automation and monitoring stack for distributed edge nodes
• Own the supply chain for all infrastructure gear
• Manage third party hardware vendors on provisioning, maintenance and break-fix support

Head of Infrastructure

• Create the inference strategy and define the inference architecture for Edge AI
• Own the inference serving layer end-to-end: vLLM, TensorRT-LLM, Triton, or equivalent
• Build a credible POC fast — proves the platform works to NVIDIA, cloud providers, and customers
• Drive cost-per-token optimization
• Optimize GPU utilization, KV-cache management, and batching for production workloads
• Own observability and reliability SLAs
• Build distributed inference pipelines across multi-GPU, multi-node edge deployments
• Set performance baselines and SLAs for inference latency and throughput, plus observability and performance SLA’s
• Define quantization strategy
• Translate complex inference requirements for infrastructure designs
• Define the software access layer architecture and oversee integration efforts
• Engage credibly with investors, partners, and technical stakeholders, represent the company externally

Head of Inference

Full-stack Engineer

• Build the customer portal end-to-end: Next.js / React front end with a Node, Python, or Go back end
• Design and ship the management layer that governs customer access, working closely with the Head of Infrastructure and the Head of Inference
• Implement role-based access control, billing and usage metering, and admin tooling
• Stitch the portal into the inference and infra stack: expose compute as a product, not bare metal, and define the customer-facing API surface alongside the Inference and Infra teams
• Own the practical product and access architecture around the inference solution
• Set the engineering bar for product code at Edge AI as the team grows

Full Stack Developer

Account Manager

• Drive top-of-funnel distribution into the HINT app through strategic partnerships, affiliates and publishers
• Own the full partnership lifecycle: from identifying and prioritizing target accounts to outreach, product demos, pilot structuring, negotiation, deal execution, and post-launch optimization
• Turn strong conversations into structured partnerships that drive measurable growth
• Identify and prioritize high-impact distribution partners aligned with HINT’s ICP
• Develop and continuously refine target account lists and partnership theses
• Shape outreach strategy and positioning tailored to each partner vertical
• Maintain and evolve a structured, high-quality pipeline
• Lead outbound outreach across email, phone, events, and warm introductions
• Run discovery conversations to deeply understand partner goals and economics
• Deliver compelling product demos tailored to partner value propositions
• Build trusted relationships with decision-makers and economic buyers
• Design pilot frameworks and commercial models aligned with partner incentives
• Structure terms across distribution, rev share, co-marketing, data sharing, etc.
• Lead negotiation and shepherd agreements to close
• Partner with legal and leadership to finalize contracts
• Own the handoff from signed deal to implementation
• Work cross-functionally with product, marketing, and ops to launch partners successfully
• Ensure partner integrations are executed smoothly and on timeline
• Identify and implement optimization opportunities post-launch
• Track partner performance against defined KPIs (activation, engagement, conversion)
• Identify expansion opportunities within existing accounts
• Refine messaging, commercial structures, and pitch materials based on learnings
• Build repeatable processes that scale partnership growth over time

Strategic Partnerships Director

• Define company strategy and position AI Economics OS as the industry standard for revenue-aware compute
• Sell the north star vision and drive communications, product and commercial strategy
• Build integrated go-to-market approach that combines product-led growth with enterprise sales, establishing strategic partnerships that accelerate market adoption
• Guide product roadmap from initial routing capabilities to full revenue aware compute offering, balancing customer needs with competitive differentiation and long term expansion
• Drive external funding processes from leading investors while maintaining strong board relationships and transparent communication
• Build a high-performing founding team and organizational culture that attracts top talent and scales effectively through rapid growth phases
• Drive business fundamentals including unit economics, customer retention, and operational efficiency to support scalable long-term growth

CEO, AI Economics

Chief Technology Officer

• Define and execute Aquanode’s technology strategy across hardware, firmware/IoT, and software.
• Architect and scale the hardware, control systems, and connected-device platform.
• Hire and lead the engineering team while setting safety, compliance, and operational standards for multi-site deployment.
• Own end-to-end architecture for the hardware and associated IoT systems.
• Build a modular platform (hardware + software) to support multi-site, multi-region deployments.
• Manage development of web/mobile UIs for end users, operators, and partners.
• Recruit, mentor, and lead software, hardware, blockchain, web and IoT teams; set engineering practices for safety, security, and quality.
• Represent Aquanode’s technology vision with investors, customers, and partners.