Commercial Counsel

Responsibilities

• Draft, review, and negotiate master data services agreements (MDSAs) and data processing agreements (DPAs) with customers
• Work closely with Sales, Customer Success, and Support teams to close new and renewal revenue deals
• Own first-line review of customer order forms, resolving issues quickly with commercial judgment
• Draft, review, and negotiate vendor agreements, marketing agreements, partnership agreements, and reseller agreements
• Collaborate with Product and Privacy Counsel, proactively engaging with the Product team
• Build scalable legal infrastructure including playbooks, templates, training, and process improvements
• Drive cross-functional initiatives to improve how Legal works with Sales, Product, Partnerships, and other teams
• Assist with other legal support tasks as needed in a small, fast-paced team

Requirements

• J.D. from an accredited law school and active license to practice law in at least one U.S. state
• 7+ years of law firm or in-house experience with a focus on commercial transactions or contracts
• Meaningful in-house SaaS experience drafting and negotiating MDSAs and DPAs
• Track record of building scalable legal infrastructure (playbooks, templates, training, process improvements)
• Ability to operate with significant autonomy on complex, ambiguous problems
• Strong written and verbal communication skills with ability to tailor messages to different audiences
• Genuine enthusiasm for partnering with Sales
• Bias toward impact and creating systems that eliminate toil
• Comfort with fast-paced environments and competing priorities
• Sense of humor and positive attitude

AI Fluency Requirements

• AI embedded into core legal workflows: contract review, research, drafting, summarization, and process design
• Demonstrable impact through quality improvements, time savings, or better stakeholder experiences
• AI mindset: instinct to ask "how could AI help here?" before defaulting to manual approaches
• Forward momentum in learning and experimentation with AI tools
• Accountability: delegate work to AI but retain responsibility, reviewing outputs critically

Nice-to-Haves

• Partnership, reseller, or channel agreement experience
• Interest in privacy and emerging areas of technology law (ML and AI)
• Experience in fast-paced, high-growth in-house environments
• Product-adjacent legal experience (API agreements, feature-specific terms, platform policies)
• Familiarity with Ironclad contract management software
• Knowledge of intellectual property-related legal issues
• Comfort with metrics and data-driven approaches