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Parallel Web Systems

APIs for AI-driven web research

Marketing Recruiter

Generalist RecruitingUpdated on Nov 12
Full-time

About the Job

Requirements

  • Experience running full-cycle recruiting at an early-stage or fast-growing company, with marketing hiring as a core part of the recruiting desk.
  • Ability to distinguish among marketing disciplines, including product marketing and demand generation, and evaluate candidate portfolios.
  • Ability to write outbound recruiting messages that engage passive candidates and close candidates with competing offers.

Responsibilities

  • Own full-cycle recruiting for the marketing team, managing searches from intake through close across product marketing, demand generation, growth, content, brand, and marketing operations.
  • Partner with marketing leadership and the founders to define role scope, build interview loops, and calibrate evaluation criteria, including for portfolios, work samples, and take-home exercises.
  • Drive sourcing and outbound recruiting for hard-to-fill and senior roles, and manage candidates through the pipeline.
  • Develop and refine recruiting scorecards and playbooks as headcount scales.
  • Report pipeline health and hiring velocity to the recruiting lead.
  • Close high-conviction offers independently.

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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