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Parallel Web Systems

APIs for AI-driven web research

GTM Leader - Enterprise

Account ExecutiveUpdated on Nov 12
Full-time

About the Job

Requirements

  • Have at least four years of experience leading an enterprise sales team.
  • Be able to navigate conversations with CTOs or vice presidents.
  • Have experience guiding deals through security reviews, procurement, and multi-stakeholder legal negotiations.
  • Be able to keep enterprise champions engaged and deals active through extended sales cycles.
  • Have experience selling to technical buyers and be able to discuss large language models, AI agents, or retrieval-augmented generation without technical support.
  • Be able to coach sales representatives through deals while developing their capabilities.
  • Create pipeline proactively.
  • Be interested in scaling an existing team rather than starting from a blank slate or inheriting a fully established function.

Responsibilities

  • Lead the enterprise sales team while personally managing pipeline, conducting discovery, and closing enterprise sales cycles.
  • Develop the playbook for navigating enterprise buying processes, including security reviews, procurement, legal negotiations, and multi-stakeholder committees.
  • Build the sales ramp and coaching cadence to make new representatives productive quickly.
  • Scale the team as pipeline grows.
  • Partner with the head of Recruiting to build the team and with the head of GTM on segmentation.
  • Own team-wide pipeline coverage, ramp time, and win rates.

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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