
11 - 50 funcionários
🤖 Inteligência Artificial
🤝 B2B
☁️ SaaS
💰 $1.100.000 Equity Crowdfunding em 2021-12
Artificial Intelligence • B2B • SaaS
ThisWay Global é uma empresa de tecnologia especializada em auxiliar organizações na adoção de IA e automação. A empresa foca em maximizar o retorno sobre o investimento ao simplificar processos e aproveitar o big data, IA e processamento computacional. Eles oferecem soluções para empresas, governo, instituições de ensino superior e equipes de pesquisa para reduzir o tempo gasto em tarefas de baixo valor. A ThisWay Global destaca-se por sistemas fáceis de usar e automação flexível para garantir uma integração tecnológica impactante e eficiente. Sua plataforma foi criada para ajudar as organizações a enfrentarem os desafios relacionados à IA e automação, permitindo que se mantenham competitivas no cenário tecnológico em evolução.
🕒 4 dias atrás
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
🤖 Inteligência Artificial
🤝 B2B
☁️ SaaS
💰 $1.100.000 Equity Crowdfunding em 2021-12
Artificial Intelligence • B2B • SaaS
ThisWay Global é uma empresa de tecnologia especializada em auxiliar organizações na adoção de IA e automação. A empresa foca em maximizar o retorno sobre o investimento ao simplificar processos e aproveitar o big data, IA e processamento computacional. Eles oferecem soluções para empresas, governo, instituições de ensino superior e equipes de pesquisa para reduzir o tempo gasto em tarefas de baixo valor. A ThisWay Global destaca-se por sistemas fáceis de usar e automação flexível para garantir uma integração tecnológica impactante e eficiente. Sua plataforma foi criada para ajudar as organizações a enfrentarem os desafios relacionados à IA e automação, permitindo que se mantenham competitivas no cenário tecnológico em evolução.
• 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.
• Active Texas Bar License; must be licensed and in good standing to practice law in Texas. • Texas Residency; must be based in Texas (role is remote-first, but Texas presence is required). Some travel to data center sites and university campuses is expected. • 5–8 years of experience in a combination of law firm and/or in-house legal roles. • Demonstrated ability to draft and negotiate complex commercial agreements independently, including enterprise SaaS agreements, services agreements, vendor contracts, and NDAs. • Experience with ground leases, commercial leases, land acquisition, title review, easements, or comparable real estate transactions. • Experience working with State of Texas agencies, higher education institutions, or regulated/public-sector environments, including university, public entity, or government contract frameworks. • Working knowledge of GDPR, CCPA, and HIPAA frameworks; ability to advise on AI/technology regulatory matters and basic employment law. • Ability to understand AI, data center, and cloud infrastructure well enough to engage meaningfully with engineering and operations teams and translate concepts into legal language. • Understanding of data privacy, PII, and security-related legal considerations; ability to coordinate on operational safeguards. • Ability to operate independently without a legal team beneath you at the start. • Comfortable operating in evolving environments where structure is still being built and able to provide clear, actionable guidance without creating unnecessary operational friction.
• Direct access to the CEO and executive team. • Opportunity to build and define the company's legal function, including processes, templates, outside counsel relationships, and legal infrastructure. • Competitive compensation. • Meaningful equity in a company positioned at the center of the AI infrastructure buildout. • Opportunity to work on active NVIDIA NVL72/GB300 GPU cluster deployments, TAMU RELLIS ground lease execution, and enterprise and institutional partnerships. • Exposure to technically sophisticated work spanning AI infrastructure, data centers, software, and public-sector partnerships. • Remote-first work environment.
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