Mixpanel - Commercial Counsel, APAC
Requirements
• A minimum of 5+ years of experience drafting and negotiating inbound and outbound commercial agreements, including SaaS agreements, with minimal supervision. • Experience negotiating data protection agreements and advising on data privacy questions and concerns. • Experience with product and regulatory counseling related to healthcare, financial services, consumer protection, and data security. • Positive, friendly and collaborative attitude while maintaining the highest standards of business and professional conduct. • Strong project management skills with the ability to respond to requests quickly and with excellent attention to detail in a fast-paced environment. • Outstanding communication skills, both verbal and written, and a demonstrated ability to establish and maintain collaborative working relationships. • Strategic thinker with a focus on practical solutions that are geared towards reducing company risk while being fair and balanced. • Demonstrated ability to work flexibly and efficiently, prioritize work and meet demanding deadlines in a fast-paced environment, especially during quarter-end. • Bonus points for experience or an interest in: • Negotiating enterprise deals with enterprise customers in key APAC geographies such as Singapore, India and Indonesia • Local entity administration • Assisting with local employment-related matters
Responsibilities
• Review and negotiate technology-related commercial agreements with the Company’s customers, including master services and SaaS agreements, data processing addenda , data security addenda, and NDAs. • Review, negotiate, and structure vendor and partnership agreements, as needed. • Design, implement, and iterate on the legal team’s AI initiatives, policies, processes and procedures to improve the legal team’s engagement model across the organization. • Provide pragmatic legal and strategic support on cross-functional projects. • Advise cross-functional teams on meeting strategic objectives while complying with global laws, regulations, best practices, and customer requirements. • Collaborate with product, engineering, security, and other business units to ensure privacy by design principles are embedded in Mixpanel products, services and business arrangements.
Benefits
• Comprehensive Medical, Vision, and Dental Care • Mental Wellness Benefit • Generous Vacation Policy & Additional Company Holidays • Enhanced Parental Leave • Volunteer Time Off • Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break • please note that benefits and perks for contract positions will vary* • Culture Values • Make Bold Bets: We choose courageous action over comfortable progress. • Make Bold Bets: • Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. • Innovate with Insight: • One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. • One Team: • Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. • Candor with Connection: • Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. • Champion the Customer: • Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. • Powerful Simplicity: • We’re a leader in analytics with over 29,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.
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