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 built and sold, and a low-ego, collaborative style that helps teams move quickly without cutting corners.
Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
Own customer impact: It’s on us to ensure real-world outcomes for our customers.
Obsess over craft: Perfect every detail because quality compounds.
Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
Create win-wins: Creatively turn trade-offs into upside.
Make high-conviction bets: Try and fail. But succeed an unfair amount.
Competitive salary
Generous equity
Visa sponsorships
401K plans
Daily lunch & office snacks
Dinner at the office
Unlimited vacation
Caltrain pass reimbursement
Skills Required
- 5+ years of privacy, data protection, or product counseling experience
- J.D. degree and active U.S. bar membership
- Knowledge of legal frameworks for AI products
- Technical fluency with data pipelines and privacy architectures
Parallel Web Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parallel Web Systems and has not been reviewed or approved by Parallel Web Systems.
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Equity Value & Accessibility — Equity is prominently advertised as “generous” across roles, paired with competitive base pay. A reported ML Engineer package including substantial stock indicates equity is a meaningful component.
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Wellbeing & Lifestyle Benefits — Daily lunch, snacks, and dinner are provided, with Caltrain pass reimbursement supporting commuters. In‑person offices in Palo Alto and San Francisco enable these onsite perks.
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Retirement Support — A 401(k) plan is explicitly listed on multiple job postings. This establishes a baseline layer of retirement support alongside cash and equity.
Parallel Web Systems Insights
What We Do
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of API for AIs to do more with web data.

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