--- title: 'Product & Privacy Counsel at Parallel Web Systems' canonical: 'https://feeny.ai/job/product-privacy-counsel-parallel-web-systems-san-francisco-9s86p2yv7erc' type: 'job' last_seen: '2026-09-08' --- # Product & Privacy Counsel at Parallel Web Systems - **Company:** Parallel Web Systems - **Location:** San Francisco, CA / Palo Alto, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-11 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/parallel/7e24dbb5-efcf-4b92-a13b-d08e515cde1d ## Job description ## 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 built and sold, and a low-ego, collaborative style that helps teams move quickly without cutting corners. ## LIFE AT PARALLEL 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. ## COMPENSATION & BENEFITS - Competitive salary - Generous equity - Visa sponsorships - 401K plans - Daily lunch & office snacks - Dinner at the office - Unlimited vacation - Caltrain pass reimbursement ## About Parallel Web Systems ## Company Overview - **One-liner**: Parallel Web Systems builds web infrastructure and APIs purpose-built for AI agents, enabling autonomous web search, structured data extraction, and continuous monitoring. - **Entity Type**: Private (Series B) - **Headquarters**: Palo Alto, California, United States (also operates in San Francisco, with presence in Canada and India) - **Founded**: 2023 - **Founders**: Not publicly disclosed on the company website, but founding team includes Travers Nisbet (Head of Product). The board includes prominent venture investors (Mamoon Hamid, Josh Kopelman). ## Core Business - **Primary Industry**: Web Infrastructure for AI / Enterprise Search & Data Retrieval - **Target Customers**: B2B. AI developers, AI-native companies (startups and Fortune 500), and any organization building autonomous agents that need real-time, verifiable web data. - **Mission / Purpose**: “Bringing a new web to life: one built with, by, and for AIs.” The company focuses on creating interfaces, infrastructure, and business models that allow AIs to work effectively with web data. ## Products & Services - **Parallel Search API**: The highest accuracy web search engine built from the ground up for AI agents. Accepts semantic objectives in natural language, returns LLM-ready, token-efficient excerpts ranked for information density rather than clickability. Designed for deep research and multi-hop workflows (claims up to 48% accuracy vs. GPT-4’s 1% on certain benchmarks) [parallel.ai](http://parallel.ai/). - **Parallel Monitor API**: A continuous web monitoring API that pushes changes to power proactive agents and event streams. Includes “Basis” on every event for provenance [parallel.ai](http://parallel.ai/). - **Index by Parallel**: A platform launched in May 2026 that helps content owners understand how AI agents use their work and earn compensation tied to the value they contribute [parallel.ai](http://parallel.ai/). - **Custom Web Enrichment**: Allows users to bring existing data, define output columns to research, and get fresh, structured web enrichments back. ## Market Standing - **Valuation**: $2 Billion (valuation at the time of Series B in April 2026) [parallel.ai](http://parallel.ai/). - **Total Funding**: $260 million raised to date (confirmed by multiple sources) [cbinsights.com](https://www.cbinsights.com/company/parallel-web-systems), [linkedin.com](https://www.linkedin.com/company/parallel-web). - **Key Funding Rounds**: - Series B (April 2026): $100M led by **Sequoia Capital**. Existing investors Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital, and Terrain Capital also increased participation. Andrew Reed (Sequoia) joined the board [parallel.ai](http://parallel.ai/). - Series A (multiple rounds in 2025): Totaled ~$130M-$160M from investors including Khosla Ventures, Kleiner Perkins, and Index Ventures [linkedin.com](https://www.linkedin.com/company/parallel-web), [cbinsights.com](https://www.cbinsights.com/company/parallel-web-systems). - **Growth Signals**: - **Headcount**: 51 employees, with a 266.7% year-over-year growth rate, and 24.2% monthly growth [linkedin.com](https://www.linkedin.com/company/parallel-web). - **Active Hiring**: 26 active job postings across engineering, GTM, marketing, and operations [linkedin.com](https://www.linkedin.com/company/parallel-web). - **Partnership**: OpenClaw now has free, LLM-optimized web search by default powered by Parallel (announced June 2026) [parallel.ai](http://parallel.ai/). - **Certifications**: SOC 2 Type II certified [parallel.ai](http://parallel.ai/). - **Customer Trust**: Described as “trusted by Fortune 500” companies and powering “millions of daily requests” [parallel.ai](http://parallel.ai/). ## Competitive Advantages - **Accuracy-first approach**: Parallel measures accuracy explicitly (e.g., claiming up to 48% accuracy on deep research benchmarks vs. GPT-4's 1%), and builds its own proprietary web index rather than relying on general-purpose indexes. - **Evidence-based outputs**: Every atomic output comes with verifiable provenance and cross-referenced facts, minimizing hallucinations for AI agents. - **Predictable pricing model**: Pay per query, not per token, allowing flexible compute budgeting based on task complexity. - **Purpose-built for AI agents**: The entire stack (crawling, indexing, ranking, retrieval, reasoning) is designed from the ground up for autonomous agents, not human browsing—a key moat as agentic workflows scale. ## Strategic Focus - **Scaling web infrastructure for agents**: The company’s primary direction is to build the underlying “programmatic web” for AIs. - **Content creator compensation**: The launch of “Index by Parallel” signals a strategic focus on creating new business models and interfaces for content owners to understand and monetize AI usage of their data. - **Top-tier talent acquisition**: Aggressively recruiting across engineering (Research Scientists, MTS roles, Head of Security), GTM (Cloud & Developer Partnerships), and operations. The company is intentionally small and talent-dense [parallel.ai/careers](https://parallel.ai/careers). ## Why Work Here - **Culture**: Described as “fully in-person,” with locations in Palo Alto and San Francisco. The company emphasizes serendipity, flat organization, and a talent-dense environment where employees can learn from each other daily [parallel.ai/careers](https://parallel.ai/careers). - **Engineering Focus**: The entire engineering team is based in Palo Alto. Roles span back-end/API, front-end, infrastructure/scaling, model training, retrieval/indexing, and search ranking. They are “AI-first,” building and dogfooding frontier software [parallel.ai/careers](https://parallel.ai/careers). - **Values**: Own customer impact, obsess over craft, accelerate change, create win-wins, and make high-conviction bets [parallel.ai/careers](https://parallel.ai/careers). - **Benefits**: Competitive salary, equity options, 401K plans, daily lunches & snacks, unlimited vacation, Caltrain pass, and visa sponsorship [parallel.ai/careers](https://parallel.ai/careers). - **Team Background**: Talent is drawn from top companies including Meta, Patreon, Amazon Web Services, Waymo, Cognition, and Andreessen Horowitz. Alumni go on to firms like Google DeepMind, Kleiner Perkins, and other AI startups [linkedin.com](https://www.linkedin.com/company/parallel-web). ## Sources 1. [parallel.ai](http://parallel.ai/) – Company homepage, product descriptions, and blog posts. 2. [parallel.ai/careers](https://parallel.ai/careers) – Careers page, open roles, culture, and benefits. 3. [linkedin.com/company/parallel-web](https://www.linkedin.com/company/parallel-web) – Employee count, funding history, talent sources, and job postings. 4. [cbinsights.com/company/parallel-web-systems](https://www.cbinsights.com/company/parallel-web-systems) – Company overview, total funding ($230M), valuation, and products. 5. [jobs.ashbyhq.com/parallel](https://jobs.ashbyhq.com/parallel) – Active job listings. ## Other roles at Parallel Web Systems - [GTM Enablement, Technical](https://feeny.ai/job/gtm-enablement-technical-parallel-web-systems-palo-alto-9mwjkr5zky62) — Palo Alto, CA - [Deployed Engineer](https://feeny.ai/job/deployed-engineer-parallel-web-systems-san-francisco-z0v43v9vv4hg) — San Francisco, CA / Palo Alto, CA - [GTM Leader, AI Native](https://feeny.ai/job/gtm-leader-ai-native-parallel-web-systems-san-francisco-5q68zptnkryk) — San Francisco, CA / Palo Alto, CA - [GTM Leader, Enterprise](https://feeny.ai/job/gtm-leader-enterprise-parallel-web-systems-san-francisco-rjq9ekc2wgmp) — San Francisco, CA / Palo Alto, CA - [Executive Assistant](https://feeny.ai/job/executive-assistant-parallel-web-systems-san-francisco-m2htdhy86ap1) — San Francisco, CA / Palo Alto, CA - [GA Recruiter](https://feeny.ai/job/ga-recruiter-parallel-web-systems-palo-alto-3tqp2sstjchq) — Palo Alto, CA - [Sr Manager, Accounting](https://feeny.ai/job/sr-manager-accounting-parallel-web-systems-san-francisco-kk8a1tzp4vw7) — San Francisco, CA / Palo Alto, CA - [GTM, Enterprise](https://feeny.ai/job/gtm-enterprise-parallel-web-systems-san-francisco-bd8hnajs8f5a) — San Francisco, CA / Palo Alto, CA - [Member of Technical Staff, Data Engineering](https://feeny.ai/job/member-of-technical-staff-data-engineering-parallel-web-systems-san-francisco-jvv3my8w4e3h) — San Francisco, CA / Palo Alto, CA - [Growth](https://feeny.ai/job/growth-parallel-web-systems-san-francisco-97kk95zea7jt) — San Francisco, CA / Palo Alto, CA