Overview
This role involves providing legal guidance for the design, implementation, and commercialization of advertising technologies, AI-driven and automated features, and data solutions, with a focus on intellectual property and complex IP litigation.
You will work closely with product managers, engineers, data science, compliance, privacy, and commercial teams to support an expanding suite of programmatic and owned-channel products, including connected TV (CTV), digital out-of-home, display, audio, and email.
Responsibilities
Commercial & Platform Agreements
- Draft, negotiate, and interpret contracts with clients and ad tech ecosystem partners, including Supply Path Optimization (SPO) agreements with SSPs, publishers, and ad exchanges, as well as data sharing and measurement/verification vendor agreements.
- Manage and negotiate IAB terms and conditions, including the Standard Terms and Conditions (2.0-4.0) and the Multi-State Privacy Agreement.
- Review and negotiate agreements for AI and automation vendors, covering model and data licensing, generative-AI tools, and terms governing the use of company or third-party training data.
- Develop automated and AI-assisted workflows to support internal compliance with ecosystem partner agreements.
Intellectual Property & Litigation
- Partner with and manage external counsel globally across IP litigation, strategy, and regulatory matters.
- Direct all phases of complex IP and patent litigation, including strategy development and enforcement actions (e.g., preparing claim charts), court appearances, drafting settlement agreements, and negotiating IP licenses.
- Advise management on overall IP strategy, overseeing patentability, freedom-to-operate, and infringement analyses.
- Work with internal R&D and product teams to identify patentable inventions, guide portfolio development, and provide training on IP best practices.
- Oversee IP due diligence for acquisitions, divestitures, or partnerships.
- Monitor changes in patent law and the evolving AI regulatory landscape to proactively advise on potential impacts.
Product Counselling
- Provide comprehensive legal, IP, and regulatory guidance during the design and launch of programmatic, martech, and owned-channel features, including targeting, bidding algorithms, and data integrations.
- Advise on legal and compliance implications of AI, machine learning, and automated decision-making tools, including training data, model outputs, and emerging governance obligations.
- Support the Privacy team on data governance matters involving bid-stream, impression, user-volunteered, and third-party data.
- Guide post-launch compliance efforts, including auditing mechanisms and ongoing protection of proprietary technology via trademarks, copyrights, and patents.
Requirements
- Juris Doctor (JD) from an accredited law school.
- Call to the Bar in one or more Canadian Provinces or one or more US states, with active license to practice law in such jurisdiction(s).
- 6+ years of legal experience, preferably in technology, with:
- at least 3 years in an in-house commercial role, and
- 3 years of complex litigation experience.
- Strong aptitude for complex technology and desire to learn the functioning of the ad tech ecosystem (including DSPs, SSPs, ad exchanges, CTV and other emerging channels, AI-powered ad tech, and programmatic advertising principles).
- Excellent negotiation, analytical, and communication skills to manage disputes and advise senior leadership.
- Ability to handle complex cases and meet litigation deadlines in a high-pressure environment.
- Strategic thinking and problem-solving to balance legal risks with business goals.
- Strong drafting and negotiation skills for commercial agreements.
- Ability to simplify complex legal and technical concepts for cross-functional teams.
- Excellent collaboration skills with non-legal stakeholders, including product managers and engineers.
- Proven ability to manage multiple projects in a fast-paced environment and provide clear, actionable legal advice.
- Demonstrated appetite for adopting automation and AI tools to drive efficiency and consistency in legal workflows.
Preferred Qualifications
- Certified Information Privacy Professional (CIPP) certification.
- Experience with AI-related legal and governance issues in ad tech, martech, or similar technology platforms.
- Fluency with AI and automation tools in a modern legal function.
Compensation & Benefits
Base salary bands
- Canada: $200,000 CAD - $275,000 CAD
- USA: $220,000 USD - $302,500 USD
This range reflects expected base salary for candidates located in the posting country based on a global rate, informed by market data and the approved budget. Final offers will be aligned to the candidate’s current location.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors influencing final compensation may include experience, technical skills, knowledge, abilities, relevant education, licensure, and certifications, as well as organizational needs and budget alignment.
Benefits and perks (may vary by country)
- Highly competitive salary
- Retirement/401K/Pension savings globally
- Competitive paid time off packages, including birthday’s off
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support for personal development initiatives (conferences, courses, books, etc.)
- Access to programmatic courses and certifications to support continuous learning
- Parental leave program
- Friendly, welcoming, and supportive culture
- Social and team events
Location
Remote-first role open to applicants currently located in Canada or the United States.
Equal opportunity & accessibility
Accommodations are available upon request for candidates participating in the selection process. The organization uses AI to streamline resume reviews and assess fit based on the criteria outlined in the job posting, and does not use AI to make final hiring or interview decisions.