What You'll Be Doing:
- Provide forward-looking legal advice on all technology-related matters, including software development, cloud computing, artificial intelligence (GenAI/LLMs), and machine learning initiatives.
- Embed with product and engineering teams to review new features and products from ideation to launch, ensuring privacy-by-design and AI-safety-by-design principles are met.
- Lead the development, implementation, and continuous updating of company policies related to acceptable AI use, AI governance, data privacy, open-source licensing, and intellectual property.
- Monitor and interpret emerging technology laws and regulations globally, with a specific focus on AI regulations (e.g., the EU AI Act, state-level algorithmic bias laws), data privacy laws (GDPR, CCPA), and cybersecurity mandates.
- Identify potential legal and ethical risks related to technology projects particularly those involving automated decision-making or AI-generated content and develop actionable strategies to mitigate them.
- Draft, review, and negotiate high-stakes technology agreements, including SaaS, PaaS, strategic partnerships, and complex technology vendor contracts.
- Scrutinize agreements with AI model providers and platforms, focusing on critical issues such as data usage rights (model training), IP indemnification, output ownership, and confidentiality.
- Advise on the protection and enforcement of the company’s intellectual property, including patents, trademarks, trade secrets, and copyrights specifically addressing novel IP challenges related to AI-generated content and open-source software.
- Partner closely with IT, Security, Privacy, and Compliance teams to ensure data workflows, especially those feeding into data lakes or AI models, comply with strict privacy and security standards.
- Act as a trusted advisor to senior leadership across IT, Security, Product Development, Engineering, Sales, and Business Development.
- Develop and deliver training to employees on relevant legal topics, including responsible AI usage, technology contract fundamentals, IP protection, and data privacy best practices
What You'll Bring:
- Juris Doctor (JD) degree from an accredited law school and active membership in good standing with at least one state bar.
- 10+ years of relevant legal experience (in-house tech experience strongly preferred) with a deep focus on product counseling, regulatory compliance, and technology transactions.
- Demonstrated experience advising on artificial intelligence, machine learning, and data privacy. You should understand how LLMs work, how data is used to train them, and the legal nuances of generative AI.
- Strong working knowledge of global data protection laws (GDPR, CCPA) and a strong grasp of the emerging regulatory landscape for AI and digital services.
- Ability to translate complex legal and regulatory risks into practical, actionable business advice for technical and non-technical stakeholders alike.
- Proven ability to operate autonomously, lead cross-functional initiatives, and influence executive decision-making..
- Prior experience building or scaling an AI Governance framework or AI review committee.
- Relevant certifications (e.g., CIPP/US, CIPP/E) are a plus.
- Background or undergraduate degree in computer science, engineering, or a related technical field..
Skills Required
- Juris Doctor degree from an accredited law school
- Active membership in good standing with at least one state bar
- 10 or more years of relevant legal experience
- Deep experience in product counseling, regulatory compliance, and technology transactions
- In-house technology legal experience
- Experience advising on artificial intelligence, machine learning, and data privacy
- Understanding of LLMs, AI training data usage, and generative AI legal issues
- Working knowledge of global data protection laws, including GDPR and CCPA
- Knowledge of emerging AI and digital services regulations
- Ability to translate legal and regulatory risks into practical business advice
- Ability to work autonomously, lead cross-functional initiatives, and influence executive decisions
- Experience building or scaling an AI governance framework or AI review committee
- CIPP/US, CIPP/E, or similar certification
- Background or undergraduate degree in computer science, engineering, or a related technical field
Bazaarvoice Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bazaarvoice and has not been reviewed or approved by Bazaarvoice.
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Leave & Time Off Breadth — Time off is considered flexible, with unlimited PTO and paid volunteer time available alongside a hybrid/flexible-remote setup. Paid sabbaticals after a tenure milestone are highlighted as part of the package.
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Parental & Family Support — Paid parental leave for primary caregivers is consistently presented as a strong component of the offering. Family medical leave options are also documented.
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Wellbeing & Lifestyle Benefits — Mental health support via a dedicated platform, recognition programs, ERGs, and a companywide volunteering tradition are emphasized. Company events and regular all-hands reinforce a wellbeing and community focus.
Bazaarvoice Insights
What We Do
Each month in the Bazaarvoice Network, more than a billion consumers create, view, and share authentic user-generated content including reviews, questions and answers, and social photos across more than 11,500 global brand and retailer websites. From search and discovery to purchase and advocacy, Bazaarvoice’s solutions help brands and retailers reach in-market shoppers, personalize their experiences, and give them the confidence to buy.








