Corporate Counsel - Legal Product, Ip, and Marketing

Elastic Elastic · Enterprise · United States · Legal - Corporate

Corporate Counsel role focused on legal aspects of product, IP, and marketing for an AI company. Responsibilities include patent prosecution, IP portfolio management, brand protection, product regulatory governance, open-source licensing, commercial contracts related to AI, and trade compliance support. The role requires a legal background with a technical curiosity in Generative AI.

What you'd actually do

  1. Support Elastic's day-to-day patent prosecution and innovation motions.
  2. Working closely with the Director of Legal for Product and IP, help manage Elastic's global patent, copyright, and trademark portfolios, including trademark monitoring and clearance, copyright registrations, and tracking all filing, prosecution, and renewal deadlines across jurisdictions.
  3. Support IP enforcement strategies by assisting with domain name disputes, social media takedowns, and coordination with vendors and outside counsel on pre-litigation disputes and assertions.
  4. Coordinate with cross-functional team members, including Legal Privacy and Commercial, Information Security, and IT to support our Product build and release functions.
  5. Assist in managing day-to-day open-source software licensing and compliance programs, ensuring inbound third-party dependencies align with our outbound strategy.

Skills

Required

  • Admission to the US or Canadian Patent Bar (registration number required).
  • A JD from a US law school or LLB from a Canadian law school preferred, but patent agents are eligible.
  • Demonstrated experience drafting, reviewing, or managing patent applications, with the ability to translate complex technical concepts into clear patent claims and legal analysis.
  • A demonstrated interest in Generative Artificial Intelligence and the legal frameworks governing code and data.
  • A self-starting, proactive demeanor

Nice to have

  • Experience in patent prosecution and/or litigation and intellectual property or product law, preferably with exposure to the software industry.
  • SaaS, enterprise data platforms, or open-source products.
  • A bachelor's or advanced degree in a science or engineering field.
  • Experience in or academic background in software engineering is a strong plus.

What the JD emphasized

  • AI governance
  • AI model open weight licensing
  • legal frameworks governing code and data