Accountabilities:

Provide strategic legal advice throughout the product lifecycle, from initial planning and development to launch, commercialization, and ongoing operations.
Partner with Product, Engineering, Data Science, and Research & Development teams to identify legal considerations early and help shape product strategy and roadmaps.
Advise on data sourcing, collection, processing, use, access, retention, deletion, licensing, and commercialization.
Assess data-driven products and services from privacy, intellectual property, regulatory compliance, and commercial perspectives.
Guide teams on complex product and data governance matters, including role-based access controls, customer data management, and data deletion following customer offboarding.
Advise on intellectual property matters, including copyright, trademarks, patents, proprietary information, IP protection, and third-party rights.
Provide legal guidance on the use of artificial intelligence, machine learning, and other emerging technologies in product development and data-related activities.
Collaborate with Privacy, Security, Compliance, and Commercial Legal teams to address cross-functional product-related legal matters.
Develop and implement practical legal policies, guidelines, and processes that help internal teams identify, assess, and manage legal risks.
Coordinate legal responses to product-related incidents, customer complaints, disputes, and other complex matters.
Monitor evolving legal and regulatory frameworks and translate developments into actionable recommendations for business and technical stakeholders.
Build trusted relationships across the organization and contribute to the long-term development and effectiveness of the product legal function.
Promote responsible AI adoption by embracing emerging tools, improving legal workflows, and maintaining accountability for the accuracy and quality of AI-assisted work.

Requirements

A law degree and qualification to practise law in a relevant jurisdiction.
Significant legal experience advising technology companies, ideally in-house within a medium-sized technology business offering data-intensive products.
Proven experience in product counselling, data-related legal matters, intellectual property, or data licensing.
Demonstrated ability to advise Product, Engineering, Data Science, and other technically focused teams.
Strong understanding of how data is collected, processed, managed, licensed, accessed, retained, and commercialized within technology products.
Experience identifying and assessing legal and regulatory risks associated with data-intensive products and emerging technologies.
Knowledge of intellectual property frameworks, privacy requirements, data governance, and commercial technology agreements.
Ability to identify legal considerations proactively during product development while balancing regulatory obligations, risk mitigation, and commercial objectives.
Excellent legal judgment, analytical thinking, communication, and stakeholder management skills.
Strong organizational abilities and the capacity to independently manage complex legal matters while collaborating effectively across multidisciplinary teams.
Adaptability and curiosity, with an interest in leveraging AI tools and emerging technologies to improve legal processes and professional effectiveness.

Nice-to-have qualifications:

Previous in-house product legal experience within a medium-sized technology company specializing in data-intensive products.
Experience working for a comparable technology, data intelligence, or analytics business.
Expertise in data licensing, large-scale data collection, data enrichment, or data-driven product development.
Familiarity with blockchain technology, cryptocurrency, and digital assets.
Experience advising on AI governance, machine learning, and data privacy frameworks such as GDPR and CCPA/CPRA.
Background in product-related disputes, technology partnerships, or complex commercial agreements.
Previous product litigation experience at a law firm, particularly involving technology, data, or intellectual property.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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