Full-Time
Member of Technical Staff
Model Training
Parallel Web Systems
51-200 employees
APIs for AI-driven web research
Compensation Overview
$150k - $300k/yr
H1B Sponsorship Available
Palo Alto, CA, USA + 2 more
More locations: San Francisco Bay Area, CA, USA | San Francisco, CA, USA
In Person
 Software Engineering (1) |
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- Have deep intuition on modern models and training, including transformer fine-tuning, data curation, and label quality.
- Think rigorously about how ranking, retrieval, and agent behavior inform one another.
- Care about applying research to products and systems used by millions.
- Own the training pipeline behind the models powering Parallel’s search stack and agents.
- Build rankers, classifiers, and query models that surface the right information.
- Build models that help agents plan, reason, and execute high-value tasks over web data.
- Build the path from real product usage to high-quality training data.
- Fine-tune and evaluate models rigorously.
- Ship models safely to traffic used by millions.
Parallel Web Systems builds infrastructure and tools that let artificial intelligence use the web effectively. Its core products are APIs, including a Deep Research API and a Search API, that give AI agents fast and accurate access to web data. The systems re-engineer every layer of data flow—from crawling and indexing to ranking—so machines can consume information efficiently rather than humans. Developers and enterprises embed these APIs into their applications to enable real-time research, workflow automation, coding assistance, and market intelligence. The company differentiates itself by focusing on AI-native web access and machine-to-machine research, creating a programmatic web where AI agents can autonomously query, analyze, and synthesize information. Its goal is to establish a standard way for AI to interact with the web, powering automated research and data-driven workflows at scale.
Company Size
51-200
Company Stage
Series B
Total Funding
$230M
Headquarters
Palo Alto, California
Founded
2023
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Parallel raised $100 million at a $2 billion valuation on April 29, 2026.
- Parallel says over 100,000 developers use its products, plus Harvey, Notion, and Opendoor.
- Google Cloud distribution puts Parallel in enterprise procurement paths across Marketplace and invoice billing.
What critics are saying
- Google can bundle Parallel’s function into Gemini Enterprise and squeeze margins by 2027.
- Publishers already block crawlers; Index depends on voluntary participation and new licensing deals.
- OpenAI, Perplexity, and Exa can undercut Parallel’s API layer with bundled retrieval.
What makes Parallel Web Systems unique
- Parallel rebuilt crawling, ranking, and retrieval for AI agents, not human browsers.
- Google Cloud added Parallel natively to Gemini Enterprise on July 16, 2026.
- Parallel Index prices content through Shapley attribution, creating a new web-market mechanism.
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Benefits
Remote Work Options
Paid Vacation
Flexible Work Hours
401(k) Retirement Plan
401(k) Company Match
Wellness Program
Growth & Insights and Company News
6 month growth
↓ -7%1 year growth
↓ -11%2 year growth
↓ -18%Parallel announces partnership with Google Cloud for agentic Web Search on Gemini Enterprise Agent Platform. Jul 16, 2026, 05:15 ET PALO ALTO, Calif., July 16, 2026 /PRNewswire/ - Parallel (parallel.ai), the company building search infrastructure for the agentic web, today announced product integration with Google Cloud that brings Parallel's agentic web search to Gemini Enterprise Agent Platform. Parallel is now natively available across the platform: callable in the Gemini Enterprise API, selectable as a grounding source in Studio, and available to subscribe through Google Cloud Marketplace with usage metered on companies' existing Google Cloud invoice. Enterprises can build production-grade agents with web access out of the box, without stitching together search, models, and billing across separate vendors. "AI agents will soon use the web far more than humans ever have, and need search infrastructure purpose-built for how they operate," said Parag Agrawal, Founder and CEO of Parallel. "We built Parallel to provide that infrastructure, and this partnership with Google Cloud brings it natively to where enterprises are building production agents." "Enterprises want to build AI agents on an open platform with the best tools to deliver real value," said Matt Renner, President and Chief Revenue Officer, Google Cloud. "By adding Parallel as a grounding option on our Gemini Enterprise Agent Platform, customers can now use their preferred live-web data stream to make Gemini smarter. This helps them smoothly take agents from prototype to deployment, all within their existing Google Cloud environment." What is Grounding with Parallel Web Search? Grounding with Parallel Web Search on Gemini Enterprise Agent Platform is a separate offering that connects Gemini models to public web data provided by Parallel Web Systems' Search API. This service combines Parallel's AI-native web index with Gemini's ability to decompose complex user prompts, distill insights from the most relevant search results, and generate highly accurate answers complete with precise citation annotations. Because Parallel Web Search runs on Google Cloud, enterprises benefit from a streamlined, secure integration directly within their existing cloud environment. Get started today Grounding with Parallel Web Search is available today. To get started, subscribe to the Parallel service via Google Cloud Marketplace, accept the Terms of Service, and review pricing. Purchases count towards a company's eligible marketplace benefits, with consolidated billing on their Google Cloud invoice. Developers can learn more in the Grounding with Parallel documentation or visit parallel.ai. About Parallel As autonomous agents take on more knowledge work, Parallel Web Systems provides the web infrastructure needed to operate accurately and at scale. Parallel builds search infrastructure purpose-built for AI agents, delivering structured, LLM-optimized results powered by a proprietary web index built specifically for agentic workloads. The company was founded by Parag Agrawal, former CEO and CTO of Twitter, and is backed by leading investors including Sequoia Capital, Khosla Ventures, Index Ventures, Kleiner Perkins, Spark Capital, First Round Capital, and others. The company has raised $230 million. Learn more at parallel.ai. SOURCE Parallel Web Systems
Former Twitter CEO Parag Agrawal's AI search startup, Parallel Web Systems, is deepening its partnership with Google. The search giant will offer Parallel to cloud customers building AI agents with the Gemini model. Parallel, founded over two and a half years ago, helps AI agents search the web. Backed by Sequoia Capital, Khosla Ventures, and Kleiner Perkins, it has raised $230 million to date and was valued at $2 billion in April. Unlike traditional search engines that prioritise webpages for human readers, Parallel retrieves information buried deep within documents for AI models. This process, known as grounding, equips AI agents with up-to-date information. The partnership involves deep technical integration between the companies. Parallel has built much of its product on Google Cloud and counts legal AI startup Harvey amongst its major customers.
Parallel launches Index, a platform that lets content owners track how AI agents use their work and earn revenue via Shapley value attribution. Launch partners include The Atlantic, Fortune, PR Newswire, PitchBook, ZoomInfo, Tracxn, RocketReach, and Enigma Data.
Parallel Web Systems has launched Index, a platform designed to compensate content owners based on how AI agents use their work. Launch partners include The Atlantic, Fortune Media, PR Newswire, and business intelligence providers like PitchBook and ZoomInfo, alongside independent creators. Index calculates compensation using Shapley value, measuring each source's contribution to AI agent tasks at the moment of inference. Content that is uniquely valuable or used in high-value work earns more, moving beyond traditional fixed-fee licensing deals between major AI platforms and content owners. Parallel serves over 100,000 developers and AI companies including Harvey, Notion and Attio, powering millions of agents daily. Site owners can now view how agents use their content at index.parallel.ai and register to earn compensation. The platform plans to expand across more content categories.
Introducing index by Parallel. Today Parallel Web Systems Inc. is launching Index, a platform that helps content owners understand how AI agents use their work and earn compensation tied to the value they contribute. How it works. Any site owner can enter their domain at index.parallel.ai to see how Parallel's agents are using their content right now: which queries it's answering, how often it's referenced, and how unique its contribution is to the work the agent performed. Compensation is calculated by estimating each source's Shapley value, its marginal contribution to the work an agent performs at the moment of inference. Content that's uniquely valuable, hard to replace, or used in high-value agent work earns more. Launch partners. Parallel Web Systems Inc. is launching with partners across the range of what makes the web worth reading: Parallel already serves over 100,000 developers and frontier AI companies including Harvey, Attio, Notion, Modal, Rogo, and Opendoor. Their agents perform real work across legal, finance, sales, and scientific research every day. Index turns that activity into a transparent market: site owners see where their content matters, agents reach high-quality sources, and participating publishers earn based on contribution. Why now. AI agents will use the web 1000x more than humans, but the old model of the web doesn't work for them. The old model was: publishers let search engines in, and they sent readers back. But AI agents don't see ads or consume content the way humans do. They read the page, answer the question, and the human never arrives. Seventy-nine percent of major news sites now block at least one AI crawler. The licensing deals that do exist are flat fees, negotiated bilaterally, available only to content owners with the scale to get a meeting. Index introduces a new incentive-aligned economic model that spans the open web, benefiting both big and small players alike. What's next. Parallel Web Systems Inc.'ll expand Index across more categories of content and open self-serve participation so any publisher can join. The platform is also open to AI agents built outside Parallel, so the market grows as agent demand grows. By Parallel May 19, 2026