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Parallel Web Systems

APIs for AI-driven web research

GTM Recruiter

Generalist RecruitingUpdated on Nov 12
Full-time

About the Job

Requirements

  • Have experience running full-cycle sales recruiting at an early-stage or fast-growing company and owning searches end to end.
  • Be able to recruit account executives and have experience with sales and marketing roles.
  • Be able to write outbound messages that engage passive candidates and close candidates with competing offers.

Responsibilities

  • Own full-cycle recruiting for sales, managing searches from intake through close.
  • Partner with hiring managers and founders to define role scope, build interview loops, and calibrate candidate expectations.
  • Drive sourcing and outbound recruiting for hard-to-fill and senior roles.
  • Manage candidates through the pipeline and keep them engaged.
  • Improve recruiting scorecards and playbooks as headcount grows.
  • Report pipeline health and hiring velocity to the recruiting lead.
  • Close high-conviction offers independently.
  • Coordinate with other recruiters on shared priorities.

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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