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Parallel Web Systems

APIs for AI-driven web research

GTM Enablement - Technical

Sales OperationsUpdated on Nov 12
Full-time

About the Job

Requirements

  • Have 2–3 or more years of experience in technology, ideally at a fast-moving startup.
  • Have experience as a Deployed Engineer, Sales Engineer, or Solutions Engineer for a highly technical product, or a strong engineering background.
  • Be fluent with modern AI tools and use them regularly in work.
  • Be able to write code, quickly understand customers’ technical challenges, and explain complex products clearly.
  • Understand how effective sales teams operate and what helps them succeed.

Responsibilities

  • Own product enablement for go-to-market teams at the intersection of engineering and go-to-market.
  • Build and run product bootcamps, ongoing technical training, and enablement for each major capability launch.
  • Create demos, evaluation templates, and technical collateral that the go-to-market team can use independently.
  • Partner with engineering and marketing to build customer-facing technical content that helps buyers evaluate the product.
  • Work with Deployed Engineering to turn deal-specific learnings into scalable resources for the broader team.
  • Spend approximately 80% of the time building and enabling and 20% staying close to live deals to ground enablement work in customer conversations and challenges.

Desired Qualifications

  • Product or technical enablement experience is a bonus, not a requirement.

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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