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Parallel Web Systems

APIs for AI-driven web research

Account-Based Marketing

Growth MarketingUpdated on Nov 12
Full-time

About the Job

Requirements

  • Experience running account-based marketing and enterprise demand generation at a high-growth B2B technology company; experience in AI, developer infrastructure, or cloud is ideal.
  • Experience using CRM, marketing automation, intent data, and account intelligence tools to segment, target, and measure campaigns.
  • Ability to analyze account engagement and campaign performance, including identifying warming accounts and evaluating campaign spend.
  • Ability to produce high-quality content tailored to channel and format while preserving brand voice.
  • Fluency with AI-native tools without relying on them for ideas.

Responsibilities

  • Build Parallel’s account-based marketing program from the ground up.
  • Design and run 1:1, 1:few, and 1:many campaigns for high-value enterprise accounts.
  • Work with the enterprise sales team to select target accounts, map buying committees, and personalize outreach to advance deals.
  • Own campaigns end to end, including messaging, channel mix across digital, email, direct mail, events, and executive engagement, and measurement.
  • Partner with the senior enterprise marketer as a hands-on individual contributor, turning one-off plays into repeatable programs.
  • Drive account engagement, funnel conversion, and marketing-sourced pipeline.

Desired Qualifications

  • Experience in AI, developer infrastructure, or cloud.

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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