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Parallel Web Systems

APIs for AI-driven web research

GTM Strategic Finance

Corporate Finance & FP&AUpdated on Nov 12
Full-time

About the Job

Requirements

  • Several years of experience in investment banking or strategy consulting followed by an investing role at a private equity or growth firm, or experience in a go-to-market finance role at a high-growth company.
  • Experience setting sales strategy, including quotas, capacity models, and commission plans, in partnership with sales leaders.
  • Experience using AI tools to complete work more efficiently.

Responsibilities

  • Partner directly with revenue leadership on hiring plans, quota and capacity models, compensation plans, and spending.
  • Inform complex strategic distribution and customer deals.
  • Turn pipeline, attainment, and unit economics into recommendations that impact the sales organization.
  • Build the operating plan and bookings forecast for the sales organization and hold it accountable to those plans.
  • Apply a financial lens to pricing and packaging across usage-based and committed-spend models.
  • Set credit and discount policy, as well as margin targets enforced by the deal desk.
  • Work with the broader Corporate Finance team on sales planning and board reporting.

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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