Product & Privacy Counsel
Parallel Web Systems - San Francisco or Palo Alto, Bay Area, California, United States
Posted May 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Product & Privacy Counsel San Francisco or Palo Alto, Bay Area, California, United States About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web. We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission. Job Help shape the legal foundation of a fast-growing AI company. You'll partner closely with Product and Engineering to provide pragmatic guidance across the product lifecycle-advising on data collection, retention, consent, and privacy-by-design. You'll own Parallel's privacy and data protection program, from policies and DPAs to data mapping and compliance across GDPR, CCPA, and emerging AI and state privacy laws. Along the way, you'll build the templates, playbooks, and self-service tools that scale the function. You You're a lawyer who enjoys building, not just reviewing. With ~5+ years of privacy, data protection, or product counseling experience (in-house or at a top firm), you have a J.D., active U.S. bar membership (California preferred), and working knowledge of the legal frameworks shaping AI products. You're technically fluent-comfortable with data pipelines, anonymization, and zero-retention architectures-and you can negotiate DPAs and data licensing deals with confidence. You bring sound judgment, curiosity about how AI products are
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