Legal Director, Strategic Deals

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

What Will You Do?

Primary responsibilities include:

• Strategic Partnerships: Draft, review, and negotiate complex partnership agreements including OEM, technology licensing and alliance.
• IP Licensing & Technology Rights: Negotiate IP ownership, license scope, data rights, and AI terms.
• Strategic Product Initiatives: Partner with Product and GTM leaders on the commercial model for new offerings and translate those into clear customer and partner terms.
• M&A Support: Lead commercial contract diligence on acquisition targets, identify material risks in customer, partner, and IP agreements, and drive post-close contract integration and assignment workstreams in partnership with Corporate Development.
• Deal Strategy & Risk Judgment: Advise executives on deal structure, negotiation strategy, and risk trade-offs. Escalate the right issues at the right altitude, with a clear recommendation.
• Team Leadership: Manage, mentor, and develop a Senior Counsel. Set priorities, review work, and build playbooks, templates, and processes that let the function scale.
• Cross-Functional Collaboration: Coordinate with commercial, product/IP/AI, privacy, security, and procurement legal colleagues so that each strategic deal gets consistent, company-wide positions.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Juris Doctor (JD) from an accredited U.S. law school or equivalent, with an active license to practice law in a U.S. state.
• A minimum of 12+ years of legal experience with a focus on technology transactions, ideally a combination of top-tier law firm and in-house experience at a technology company.
• Deep expertise in IP licensing and complex technology agreements, including OEM, strategic alliance and SaaS.
• Fluency with AI tools and a track record of using them to work faster and smarter, whether in drafting, contract review, diligence or knowledge management.
• A track record of leading high-value, high-visibility negotiations with large, sophisticated counterparties.
• Business judgment and commercial instinct: you can structure a deal, advise on trade-offs, and give clear recommendations to senior executives.
• Experience managing or mentoring attorneys, or a demonstrated readiness to lead in a player-coach role.
• Excellent written and verbal communication skills, with the ability to explain complex legal issues in plain business terms.
• Comfort with ambiguity, a fast pace, and competing high-priority matters.
• Cybersecurity and/or enterprise SaaS industry experience.
• AI and data licensing experience, including model, training data, and output rights, and terms for agentic or autonomous AI products.
• Channel, OEM, and MSSP/service-provider program experience.
• M&A experience, particularly commercial diligence and post-close contract integration (a plus, not required).