At a Glance
- Tasks: Partner with teams to navigate legal risks in AI product development.
- Company: Join Synthesia, the leading AI video platform for businesses.
- Benefits: Competitive salary, dynamic work environment, and growth opportunities.
- Other info: Fast-paced environment with a focus on collaboration and autonomy.
- Why this job: Be at the forefront of AI innovation while ensuring responsible product development.
- Qualifications: Law degree, 7+ years experience, and strong understanding of AI legal issues.
The predicted salary is between 81000 - 99000 £ per year.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
As a Product & Privacy Counsel at Synthesia, you’ll partner closely with Product, Engineering, R&D, Business Operations, and Go-To-Market teams to help bring innovative AI products to market responsibly. Reporting to the Head of Product & Privacy Legal, you’ll play a key role in navigating complex legal and regulatory issues, balancing risk with business objectives, and helping the company scale with confidence.
In this role you will:
- Partner with Product, Engineering, and R&D teams across the entire product lifecycle to identify and address legal risks in areas including AI, IP, privacy, security, open source, and marketing.
- Support commercialization efforts by advising Go-To-Market and Business Operations teams on product positioning, licensing models, and regulatory issues.
- Monitor and interpret evolving laws related to AI, privacy, IP, and competition to ensure proactive compliance and business alignment.
- Draft and maintain scalable processes, playbooks, and guidance to support consistent legal input across teams.
- Assist in creation and management of privacy, security and AI governance frameworks and audits.
- Operate independently and provide pragmatic, business-oriented legal advice that aligns with Synthesia’s risk appetite and goals.
You’re a great fit for the role if you have:
- Law degree and qualified to practice in-house in a relevant jurisdiction.
- 7+ years of post-qualification experience, including 5+ advising on SaaS product legal issues; prior exposure to generative AI preferred.
- Strong understanding of AI/ML technologies and related legal issues (e.g., IP, privacy, algorithmic accountability).
- Strong understanding of GDPR and other major privacy frameworks, experience with biometric data processing or automated decision-making is a plus.
- Comfortable working with technical teams and translating legal risk into actionable guidance.
- Excellent written communication skills with the ability to draft clear, concise messages for cross-functional audiences.
- Proven ability to manage competing priorities and work autonomously in a fast-paced environment.
Product Counsel Synthesia London employer: Neura Market
Cognition is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to tackle some of the world's most significant challenges in AI. With a small, talent-dense team comprised of industry leaders from top tech companies, employees benefit from unparalleled mentorship and growth opportunities while contributing to groundbreaking projects like Devin and Windsurf. Located in Europe, our collaborative culture fosters creativity and ambition, making it an ideal place for those looking to make a meaningful impact in the field of applied AI.
