Senior Counsel (Product & Privacy)
WEKA
San Francisco, United States Posted October 26, 2026
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Salary Range
$190,000 - $230,000
Job Description
Join WEKA, a rapidly growing technology company, as a Senior Counsel focused on product and privacy. In this role, you will build and run a risk-tiered legal review process for product features and releases, upgrade WEKA's privacy program, and serve as the primary legal partner to Product, Engineering, Security, and Support. You will report directly to the General Counsel and work closely with the Senior Counsel on commercial contracting and marketing review. This is a unique opportunity to shape the legal function at WEKA and make a significant impact on the company's growth.
- Construire et gérer un processus d'examen juridique structuré pour les fonctionnalités et les lancements de produits, en veillant à ce que l'équipe produit et l'ingénierie sachent quand impliquer le service juridique.
- Améliorer le programme de confidentialité de l'entreprise et construire l'infrastructure pour le mettre à l'échelle à mesure que l'entreprise se développe, y compris les accords de traitement des données et la diligence raisonnable en matière de sécurité.
- Servir de partenaire juridique principal pour les équipes Produit, Ingénierie, Sécurité et Support, en fournissant des conseils sur la manière dont les produits collectent, traitent et accèdent aux données.
- The ideal candidate is a practical, technically curious lawyer who enjoys working next to engineers, builds structure without bureaucracy, and gives clear answers rather than reflexive escalations
- Privacy law: Working knowledge of GDPR and CCPA/CPRA, and experience building or upgrading a privacy program, not only running a mature one
- Customer privacy and security terms: Experience negotiating DPAs and responding to customer security and privacy diligence
- Product counseling: Experience partnering with Product and Engineering on launches, ideally building or running a review process, and comfort translating legal requirements into terms engineers will use
- Education & License: J.D. from an accredited law school and active bar membership in good standing
- 6–9 years of legal experience at a law firm, in-house, or both, with meaningful experience counseling product and engineering teams at a technology company. Prior in-house experience at a startup or scale-up where you built programs rather than only executing within established ones is strongly preferred
- Outside Counsel Management: Experience managing external counsel and vendors efficiently across specialized matters
- Executive Presence & Crisp Communication: Distills complex issues into clear recommendations and writes clearly for non-lawyers
- Project Management: Has driven multi-quarter initiatives to completion, such as a privacy program upgrade or a product review process rollout
- Comfort with AI Tools: Understands the risks and limitations of AI in legal practice and actively looks for risk-appropriate ways to improve speed and quality
- Builder Mindset: Energized by creating programs, playbooks, and processes from scratch
- Practical Judgment: You decide what you can, escalate what you should, and explain risk in a way that helps the business move rather than slowing it down
- Technical Fluency: Comfort engaging in technical discussions about how distributed systems, storage, data flows, and software releases actually work. A computer science or engineering background, or the ability to read architecture diagrams and understand how data is stored and moved, is a plus
- CIPP/US, CIPP/E, or a similar privacy or AI governance certification, or a desire to obtain one
- Experience in enterprise software, infrastructure, data storage, cloud, HPC, or AI
- Experience supporting SOC 2 / ISO 27001 audits and security incident response
- Familiarity with open-source licensing, export controls (including encryption classification), and the EU AI Act
- Commercial contracting experience, which helps with the backup support described above
- Experience supporting international operations and cross-border data flows
Required Skills
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