Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Legal Counsel (Commercial): Providing legal support for revenue-generating and commercialization activities across Asia with an accent on complex technology transactions and SaaS agreements. Focus on negotiating enterprise-level cloud service agreements, ensuring risk oversight, and navigating legal issues related to data privacy, AI, and intellectual property.
Location: Must be based in Singapore (Hybrid role)
Company
Databricks is the data and AI company, providing a Data Intelligence Platform to unify and democratize data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Review and negotiate complex customer agreements and enterprise-level cloud service contracts.
- Provide strategic legal counsel to field sales teams to close complex sales transactions.
- Maintain and update legal templates to ensure compliance with evolving regional and global laws.
- Serve as a subject matter expert on technology, product portfolio, and security/compliance architecture.
- Partner with Finance, Information Security, and Product teams to align contracting processes with local business norms.
Requirements
- 6+ years of relevant commercial legal transactional experience in technology, preferably at a top-tier law firm or high-growth SaaS company.
- Qualified to practice law in Singapore with an LL.B. or J.D. degree.
- Deep understanding of data privacy, public sector, and data sovereignty requirements across the Asia market.
- Proven experience negotiating cloud software sell-side transactions and consumption-based business models.
- Strong knowledge of legal issues related to information security, AI, and intellectual property.
- Ability to prioritize competing demands in a fast-paced, high-pressure environment.
Culture & Benefits
- Comprehensive benefits and perks tailored to regional needs.
- Commitment to a diverse and inclusive culture with equal employment opportunity standards.
- Opportunity to work at a global leader in data and AI technology.
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