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Parallel Web Systems

APIs for AI-driven web research

Member of Technical Staff - Data Engineering

Data EngineeringUpdated on Nov 12
Full-time

About the Job

Requirements

  • Have deep intuition in distributed data processing, data modeling, and system reliability.
  • Be able to reason about trade-offs between batch and streaming, storage cost and query performance, and custom-built versus off-the-shelf infrastructure.
  • Care about data quality and building dependable systems that teams across the company can rely on.
  • Have a bachelor's degree or an equivalent combination of education, training, and professional experience.
  • Demonstrate a field relevant to the role through coursework, training, or professional experience.

Responsibilities

  • Build data foundations that support model training, product building, and company analytics.
  • Design pipelines that ingest and transform data at scale.
  • Build storage and serving layers that enable fast, reliable querying.
  • Establish data quality, lineage, and observability systems.
  • Anticipate scaling bottlenecks and make architectural decisions to keep the platform ahead of growing demand.

About the Company

Parallel Web Systems

APIs for AI-driven web research

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, CA
Founded
2023

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