Commercial Counsel

Apollo.io Apollo.io · Enterprise · United States · Legal

Commercial Counsel at Apollo.io, a SaaS company, responsible for the full lifecycle of commercial agreements including vendor contracts, customer agreements (MDSAs, DPAs, order forms), and partnership agreements. The role involves partnering with Sales, Product, and Partnerships teams, building scalable legal processes, and identifying gaps in contracting. A key requirement is demonstrated AI fluency and integration into core legal workflows for tasks like contract review, research, and drafting, with a focus on impact and continuous learning.

What you'd actually do

  1. Draft, review, and negotiate master data services agreements and DPAs with customers and work closely with Sales, Customer Success, and Support teams to close both new and renewal revenue deals.
  2. Own first-line review of customer order forms, resolving issues with speed and commercial judgment so deals keep moving. You're the safety net that doesn't slow things down.
  3. Draft, review, and negotiate a wide range of other commercial agreements, including vendor agreements, marketing agreements, partnership agreements, and reseller agreements.
  4. Work closely with the Product and Privacy Counsel and proactively engage with the Product team.
  5. Identify gaps and provide resources and training to go-to-market teams as it relates to contracting process and contracting terms - building playbooks and scalable tools, not just answering one-off questions.

Skills

Required

  • 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.
  • Experience 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.
  • 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.
  • AI fluency and integration into core legal workflows (contract review, research, drafting, summarization, process design).
  • Demonstrable impact from AI usage (quality improvements, time savings, better stakeholder experiences).
  • AI mindset (instinct to ask "how could AI help here?").
  • Active learning and experimentation with AI tools.

Nice to have

  • Partnership, reseller, or channel agreement experience.
  • Interest in privacy and emerging technologies.

What the JD emphasized

  • 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. You know how these deals are structured and where they typically break down.
  • A track record of building scalable legal infrastructure: playbooks, templates, training, and process improvements that outlast any single deal.
  • The ability to operate with significant autonomy on complex, ambiguous problems. You identify the issue, develop the approach, and drive to resolution without needing the problem fully defined first.
  • Genuine enthusiasm for partnering with Sales. This is a real requirement, not a buzzword.
  • AI embedded into your core legal workflows: contract review, research, drafting, summarization, process design as repeatable systems, not one-off experiments.
  • Clear, demonstrable impact: quality improvements, time savings, or better stakeholder experiences you can describe concretely.
  • An AI mindset: the instinct to ask "how could AI help here?" before defaulting to the manual approach.
  • Forward momentum: we care more about your rate of learning and experimentation than your current toolkit. Someone actively building is a stronger signal than someone who plateaued on three tools a year ago.
  • Accountability: you can delegate work to AI but not responsibility. You review outputs critically, catch errors before they ship, and own what goes out under your name.