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Parallel Web Systems

APIs for AI-driven web research

GTM Leader - AI Native

Account ExecutiveUpdated on Nov 12
Full-time

About the Job

Requirements

  • Have led a sales team for at least three years in an AI-native or fast-moving technical environment.
  • Have sold to technical buyers such as founders, engineers, and machine learning leads.
  • Be able to discuss large language models, agents, or retrieval-augmented generation with technical buyers without a technical co-pilot.
  • Be able to adapt to rapidly changing product specifications, buyer use cases, and competitive landscapes, and keep deals moving amid those changes.
  • Be able to coach sales representatives through deals while building their capabilities.
  • Create pipeline rather than waiting for it.
  • Be motivated to take an existing team further rather than inherit a blank slate or a fully solved function.

Responsibilities

  • Lead Parallel's AI-native sales team while personally carrying part of the pipeline, running discovery, and closing deals with technical, AI-forward buyers.
  • Build the playbook for selling to teams building with agents and large language models.
  • Improve the ramp and coaching rhythm to make new sales representatives productive quickly.
  • Scale the sales team as pipeline grows.
  • Partner with the head of Recruiting to build the sales team.
  • Partner 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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