
Parallel provides APIs that let AI systems access and use web data to complete high-value tasks. It builds infrastructure across crawling, indexing, ranking, retrieval, and reasoning so models can…

Parallel provides APIs that let AI systems access and use web data to complete high-value tasks. It builds infrastructure across crawling, indexing, ranking, retrieval, and reasoning so models can…
What they do: APIs and infrastructure for web crawling, indexing, retrieval, ranking and reasoning to enable AI agents to use web data
Founded: 2023
Stage / funding signal: Raised multiple institutional rounds; Series B reported at $100M led by Sequoia valuing company at $2.0B (total capital ~ $230M)
Target customers: AI builders and enterprises needing reliable programmatic web access for model-driven workflows
Web-scale data access and research infrastructure for AI agents and model-driven applications.
2023
Data and Analytics
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Reported at approximately a $740M valuation
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Reported valuation $2.0B; brought total capital raised to about $230M
“Backed by major institutional investors including Sequoia Capital, Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital and Terrain”
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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: As one of our Researchers - you will answer the question: how to train and scale a model that can serve a web index?
You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.
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:
Compensation & Benefits
Compensation Range: $150K - $300K
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