ThisWay Global

• Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity. • Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns. • Write maintainable, resilient, and tested code following development standards and methodologies. • Debug and improve system behavior, including networking and distributed coordination issues. • Contribute to systems written primarily in Rust. • Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability. • Optimize performance and memory usage in resource-constrained environments. • Debug concurrency issues and distributed coordination challenges. • Design and maintain APIs and communication layers between distributed components. • Identify and reduce tight coupling across services and systems. • Diagnose and resolve cross-system failures in production environments. • Design and implement secure, reliable solutions aligned with engineering standards. • Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems. • Contribute to resolving architectural and systemic issues. • Continue developing expertise in distributed systems, HPC infrastructure, and related tooling.

• Serve as a trusted advisor to the CEO and leadership team; participate in strategic planning, deal structuring, and business development conversations. • Provide practical legal guidance across commercial, operational, and organizational matters; support leadership in balancing risk, speed, and business objectives. • Help build scalable legal and governance processes as the organization grows. • Own the end-to-end lifecycle of commercial contracts, including enterprise SaaS agreements, data center services agreements, vendor contracts, NDAs, subcontractor agreements, and custom deal structures. • Identify legal and operational risks within complex commercial relationships. • Support evolving partnerships across AI, infrastructure, software, and public-sector initiatives. • Support and lead legal work on ground leases, commercial leases, land acquisition, title review, easements, and real estate transactions tied to data center site development, including our RELLIS campus work. • Navigate university, state entity, and government procurement frameworks; structure deals that satisfy both institutional requirements and business objectives. • Advise on employment-related matters, internal policies, and organizational risk. • Support ISO-aligned operational and compliance initiatives. • Partner with leadership on governance, documentation, and internal controls. • Build and maintain our compliance posture across data privacy (GDPR, CCPA, HIPAA awareness), AI and technology regulation, and employment law; flag risks before they become problems. • Help evaluate legal and compliance implications of AI and software deployments; coordinate with technical and operational teams on evolving risk areas. • Establish scalable legal processes, document templates, external counsel relationships, and internal policies; build the function from scratch. • Understand our products well enough to translate AI, data center, and cloud infrastructure concepts into precise legal language. • Help shape a proactive approach to enterprise risk management; identify areas where legal structure, process, or policy can reduce operational exposure. • Contribute to the organization's long-term maturity as legal and compliance needs evolve.

• Develop and execute the financial strategy supporting company growth, product development, and market expansion. • Partner with executive leadership on capital allocation, funding requirements, and investment priorities. • Provide visibility into cash flow, runway, burn rate, and financial scenarios to support strategic decision-making. • Evaluate growth opportunities through the lens of enterprise value, risk, and long-term sustainability. • Lead financial preparation for fundraising activities, strategic investments, debt facilities, and other capital initiatives. • Develop investor-ready financial reporting, narratives, and supporting materials. • Support due diligence efforts with investors, lenders, strategic partners, and other stakeholders. • Translate technical and operational initiatives into clear financial outcomes and business value. • Serve as a trusted advisor to the CEO and executive leadership team on growth, investment, partnership, and expansion decisions. • Establish frameworks to evaluate financial, operational, contractual, and market risks. • Challenge assumptions, identify emerging risks, and support risk-adjusted decision-making. • Partner with external tax, audit, legal, and financial advisors to maintain compliance and support organizational growth. • Lead and develop the finance and accounting function, including systems, processes, and accountability structures. • Oversee budgeting, forecasting, cash management, financial reporting, tax strategy, audits, and compliance activities. • Build reporting, controls, governance, and financial infrastructure to support a scaling organization. • Maintain readiness for future investment, acquisition, liquidity, or strategic transaction opportunities. • Establish metrics and operating rhythms that provide visibility into organizational performance and enterprise value.

• Develop a working understanding of HPC/AI infrastructure environments, including compute, power, cooling, water, and facility constraints • Ask the right questions to fully scope opportunities—ensuring proposals reflect real-world requirements, not assumptions • Translate infrastructure needs into grounded cost models and pricing, avoiding “SWAG” estimates and anchoring decisions in informed ranges • Operate as a bridge between technical teams, sales, and customers to align scope, cost, and expectations early • Help shape deals that are credible to customers and responsible for TWG—balancing competitiveness with disciplined cost awareness • Partner with sales to respond to RFPs, proposals, and inbound opportunities • Synthesize inputs from technical, operational, and commercial stakeholders into clear, cohesive responses • Help structure deal terms, pricing frameworks, and assumptions • Track key deal components to ensure nothing is lost between proposal → contract → execution • Develop and maintain robust financial models in Excel to support deal decisions • Incorporate infrastructure variables (compute, storage, power, facility considerations) into pricing frameworks • Pressure-test assumptions and identify cost, margin, and risk implications • Create models that are not just accurate, but usable by sales and leadership in real time • Translate customer requirements into clear scopes of work and solution frameworks • Align proposals and contracts with what can actually be delivered—technically and operationally • Identify gaps, risks, or missing inputs early and work cross-functionally to resolve them • Help ensure that what is sold can be delivered without surprises, scope creep, or rework

Title Solution Architect — AI / HPC Infrastructure (Pre-Sales) Focus Customer-Facing Architecture | Distributed Systems | AI / HPC Deployments Location Remote - United States Department Product | Engineering Exemption/Classification Exempt, Full Time Overview: This role exists to bridge deeply technical distributed systems design with real-world customer environments. You will partner with customers, sales, and engineering teams to design and translate complex AI and HPC infrastructure into practical, deployable solutions. Success in this role looks like customers who not only understand what is being built—but trust that it will work in real-world conditions where networks are imperfect, environments are constrained, and systems must perform under pressure. You are the connective layer between what is possible and what works in practice. What You Do Translate Complex Systems into Real-World Solutions - Partner with customers to understand technical environments, constraints, and goals - Design solution architectures that reflect real-world conditions (latency, bandwidth, reliability) - Communicate complex distributed systems concepts in a clear, practical way Lead Technical Pre-Sales Engagements - Support the sales process as the technical counterpart in customer conversations - Guide architecture discussions, whiteboarding sessions, and technical discovery - Build trust through clarity, depth, and honest assessment of tradeoffs Design for Imperfect Environments - Architect solutions that operate across distributed, hybrid, or constrained infrastructure - Identify risks early—network limitations, integration complexity, system dependencies - Ensure designs prioritize resilience, performance, and long-term operability Bridge Sales and Engineering - Translate customer needs into actionable inputs for engineering teams - Collaborate on solution feasibility, tradeoffs, and delivery expectations - Stay engaged through early delivery to ensure alignment between design and execution Operate with Ownership and Flexibility - Navigate ambiguity in a fast-moving, startup environment - Contribute across roles when needed—from architecture to early implementation support - Help shape how TWG delivers and scales its solutions over time

Title Revenue Operations — Infrastructure & Deals Focus RFPs | Deal Structuring | Financial Modeling | HPC / Data Center Location Remote - United States Department Sales | Engineering Exemption/Classification Exempt, Full Time Overview: This role exists to support how TWG brings deals together. You will work closely with the sales team to structure, price, and respond to opportunities—translating customer needs into clear proposals, contracts, and financial models. This includes supporting RFPs, shaping deal terms, and ensuring alignment between what is sold and what can be delivered. This role requires enough technical awareness to understand how infrastructure actually comes together—and enough commercial discipline to ensure we price and scope it correctly. The goal is not perfection, but informed, defensible decisions that build trust with customers and protect the business. The work sits at the intersection of sales, finance, and infrastructure—requiring an understanding of how HPC and AI environments are designed, deployed, and supported in real-world settings. What You Do Bring Technical and Commercial Rigor to Deals - Develop a working understanding of HPC/AI infrastructure environments, including compute, power, cooling, water, and facility constraints - Ask the right questions to fully scope opportunities—ensuring proposals reflect real-world requirements, not assumptions - Translate infrastructure needs into grounded cost models and pricing, avoiding “SWAG” estimates and anchoring decisions in informed ranges - Operate as a bridge between technical teams, sales, and customers to align scope, cost, and expectations early - Help shape deals that are credible to customers and responsible for TWG—balancing competitiveness with disciplined cost awareness Support RFPs and Deal Execution - Partner with sales to respond to RFPs, proposals, and inbound opportunities - Synthesize inputs from technical, operational, and commercial stakeholders into clear, cohesive responses - Help structure deal terms, pricing frameworks, and assumptions - Track key deal components to ensure nothing is lost between proposal → contract → execution Build Financial and Pricing Models - Develop and maintain robust financial models in Excel to support deal decisions - Incorporate infrastructure variables (compute, storage, power, facility considerations) into pricing frameworks - Pressure-test assumptions and identify cost, margin, and risk implications - Create models that are not just accurate, but usable by sales and leadership in real time Bridge Customer Needs and Delivery Reality - Translate customer requirements into clear scopes of work and solution frameworks - Align proposals and contracts with what can actually be delivered—technically and operationally - Identify gaps, risks, or missing inputs early and work cross-functionally to resolve them - Help ensure that what is sold can be delivered without surprises, scope creep, or rework

• Own implementation and evolution of core system workflows across data ingestion, normalization, and artifact generation • Design and build data processing and message handling systems to ingest, transform, and validate asynchronous inputs at scale • Define and enforce architectural patterns to prevent hidden state, schema drift, and customer-specific logic in the core system • Maintain end-to-end data lineage from source inputs through output generation • Build and maintain ingestion and normalization pipelines for multi-source, inconsistent inputs • Collaborate with leadership to prioritize and sequence development work • Participate in technical discussions with partners and customers, representing system capabilities and constraints • Identify reusable integration and system patterns to support scalability and repeatability • Design systems that behave predictably under partial data, malformed inputs, and scaling conditions

Our partner is building compliance infrastructure for autonomy, transforming unstructured operational data into deterministic, auditable, and replayable outputs. The system operates as a system of record under strict constraints, ensuring consistent and defensible outcomes across varying inputs, customers, and regulatory environments. The Senior Product Engineer is responsible for execution of the core system, including data ingestion, normalization, reporting, and integrations. This role focuses on designing and maintaining a deterministic architecture that ensures correctness, traceability, and resilience at scale. The position is accountable for system behavior under real-world conditions, including failure scenarios, and for maintaining data lineage and architectural integrity as the system evolves. Responsibilities - Own implementation and evolution of core system workflows across data ingestion, normalization, and artifact generation - Design and build data processing and message handling systems to ingest, transform, and validate asynchronous inputs at scale - Define and enforce architectural patterns to prevent hidden state, schema drift, and customer-specific logic in the core system - Maintain end-to-end data lineage from source inputs through output generation - Build and maintain ingestion and normalization pipelines for multi-source, inconsistent inputs - Collaborate with leadership to prioritize and sequence development work - Participate in technical discussions with partners and customers, representing system capabilities and constraints - Identify reusable integration and system patterns to support scalability and repeatability - Design systems that behave predictably under partial data, malformed inputs, and scaling conditions

• Develop and support core system components according to defined specifications and guidelines • Write clean, maintainable, resilient, and well-tested code • Contribute to debugging, testing, and improving overall system behavior • Follow established development methodologies and coding standards • Contribute to systems written in Rust and related languages • Work on system-level concerns such as scheduling, data placement, memory management, I/O efficiency, and storage hierarchy • Design and implement secure, reliable solutions aligned with system architecture • Work independently while aligning with broader system design goals • Propose solutions at both specification and implementation levels • Collaborate with engineers on system design, tooling, and infrastructure • Build knowledge of distributed systems, tooling, and platform infrastructure over time

Title: High Performance / Distributed Systems Engineer Location: Remote – United States Department: Engineering Employment Type: Full-Time, Exempt This role focuses on building foundational components that support TWG’s platform, where systems, tooling, and distributed infrastructure intersect to support AI and high-performance computing (HPC). The position involves contributing to core systems, refining architecture, and improving tooling, performance, and reliability. The work emphasizes development of scalable computing systems that align AI and HPC workloads while considering efficiency and resource usage. Responsibilities - Develop and support core system components according to defined specifications and guidelines - Write clean, maintainable, resilient, and well-tested code - Contribute to debugging, testing, and improving overall system behavior - Follow established development methodologies and coding standards - Contribute to systems written in Rust and related languages - Work on system-level concerns such as scheduling, data placement, memory management, I/O efficiency, and storage hierarchy - Design and implement secure, reliable solutions aligned with system architecture - Work independently while aligning with broader system design goals - Propose solutions at both specification and implementation levels - Collaborate with engineers on system design, tooling, and infrastructure - Build knowledge of distributed systems, tooling, and platform infrastructure over time