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Parallel Web Systems

APIs for AI-driven web research

Deal Desk Manager - GTM Strategic Finance

Sales OperationsUpdated on Nov 12
Full-time

About the Job

Requirements

  • Experience running a deal desk at a high-growth software or infrastructure company with consumption or committed-spend pricing.
  • Experience structuring strategic deals, ramp deals, prepaid commitments, and multi-year contracts, and understanding the risks associated with each.
  • Understanding of how deal terms affect revenue recognition, billing, and margin.
  • Experience using AI tools to work more efficiently.

Responsibilities

  • Build Parallel’s deal desk and establish the function from the ground up as part of the Go-to-Market Strategic Finance team.
  • Own pricing, deal structure, and deal closing, including complex strategic enterprise and distribution deals.
  • Route every non-standard deal through the deal desk.
  • Establish approval matrices, quoting workflows, and processes for handling non-standard terms for the AI Native and Enterprise teams.
  • Work on live deals with sales leadership and account executives, deciding when to hold firm or make concessions within pricing and margin guardrails set with Go-to-Market Strategic Finance.
  • Partner with legal on contract terms and with accounting to ensure deals are booked and billed correctly.
  • Own deal velocity, terms discipline, and ensuring signed deals can be delivered.

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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