Overview
This role serves as a key legal partner to Sales, Revenue, Product, Marketing, and Security teams, managing a broad range of commercial transactions and legal matters with a primary focus on SaaS and data licensing agreements. The position involves balancing legal risk with business objectives, negotiating with sophisticated counterparties, and driving scalable legal processes to support company growth. Additionally, the role supports responsible AI adoption by advising on AI-related contractual risk, regulatory compliance, and governance frameworks, while leveraging AI-enabled tools to enhance contract lifecycle management and operational efficiency.
The organization operates with a remote-first approach and is open to hiring residents in the following states: California, Colorado, Illinois, Florida, Georgia, Massachusetts, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington, and Maine.
Responsibilities
- Independently review, draft, and negotiate a high volume of complex commercial agreements, including:
- SaaS (outbound and inbound)
- Data-as-a-Service (DaaS)
- Enterprise and strategic customer agreements
- Cloud, reseller, and partnership agreements
- Vendor and professional services agreements
- Marketing and advertising agreements
- Partner closely with Sales and Revenue leadership to structure deals aligning with risk tolerance and strategic priorities.
- Advise internal stakeholders on legal, financial, and operational risks in commercial transactions, clearly communicating trade-offs.
- Support RFPs and customer due diligence processes, including negotiation of security and compliance terms.
- Provide guidance on privacy and data protection laws (e.g., GDPR, CCPA/CPRA, and evolving U.S. state privacy laws) as they relate to product features, customer agreements, and marketing initiatives.
- Collaborate with Security and Product teams to support customer responses to data protection and information security questionnaires.
- Assist in developing, implementing, and maintaining internal compliance policies and processes.
- Advise on legal and regulatory considerations related to AI-enabled products and internal AI use, including data usage rights, IP ownership, transparency, disclosure requirements, and contractual allocation of AI-related risk.
- Draft and negotiate AI-specific contractual provisions such as model usage, output ownership, indemnification, acceptable use, and compliance representations.
- Support development of internal AI governance policies, including acceptable use, vendor evaluation, and risk assessment frameworks.
- Partner cross-functionally to evaluate AI vendors and embedded AI technologies from contractual and compliance perspectives.
- Leverage AI-enabled tools within Legal to improve contract intake, template population, redline comparison, issue spotting, clause extraction, research, and knowledge management while ensuring responsible and secure use.
- Contribute to continuous improvement of legal templates, playbooks, and clause libraries to enhance scalability and consistency.
- Identify recurring negotiation themes and recommend process or policy adjustments to reduce friction and accelerate deal cycles.
- Support implementation and optimization of contract lifecycle management (CLM) and other legal technology tools.
- Develop practical guidance and training materials for Sales and other internal stakeholders on contracting best practices.
- Provide practical legal advice to Product, Marketing, Finance, and People teams on commercial and operational matters.
- Collaborate with outside counsel on specialized or escalated matters as needed.
- Support claims, disputes, and general corporate matters as assigned.
Requirements
- Juris Doctor (JD) from an accredited law school.
- Active membership in at least one U.S. state bar.
- Minimum of 2 years of relevant legal experience, preferably with:
- A technology company (SaaS and/or data-focused), and/or
- A law firm representing technology clients.
- Experience negotiating SaaS, data licensing, and enterprise commercial agreements.
- Strong business judgment with the ability to balance legal risk and commercial objectives.
- Exceptional contract drafting and negotiation skills, particularly in SaaS and data transactions.
- Ability to operate independently in a fast-paced, high-growth technology environment.
- Clear and concise communication skills capable of translating complex legal concepts into practical business guidance.
- Experience advising on data privacy, information security, and compliance matters relevant to SaaS companies.
- Working knowledge of AI-related legal considerations, including data rights, intellectual property, regulatory trends, and risk allocation.
- Proficiency with contract management systems and legal technology tools; comfortable adopting and optimizing AI-enabled legal solutions.
- Strong project management and organizational skills with the ability to prioritize competing demands.
- Collaborative mindset with a strong service orientation toward internal stakeholders.
Preferred Qualifications
- Exposure to AI-related contracting or governance frameworks.
Compensation & Benefits
- Expected salary range: $140,000 - $165,000 per year.
- Competitive compensation and equity reflecting contributions and ownership mindset.
- Remote-first flexibility with opportunities for in-person collaboration.
- Comprehensive health benefits including medical, dental, and vision coverage (PPO, HDHP, and HMO options).
- Support for continuous learning through professional development reimbursement.
- 401(k) and Roth plans with annual financial adviser check-in.
- Wellness resources including a monthly stipend for physical and mental health.
- Work-from-home enablement with internet stipend and home office setup allowance.
- Charitable giving match and community impact initiatives.
Location
Remote-first position open to residents in California, Colorado, Illinois, Florida, Georgia, Massachusetts, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington, and Maine.