W

Writer

Enterprise AI platform for building agents

Product Marketing Lead

Product MarketingUpdated on Nov 4
Full-timeHybrid

About the Job

Requirements

  • At least 8 years of product marketing experience in a B2B SaaS environment.
  • An AI-native mindset and proven experience using agentic AI to automate go-to-market workflows.
  • A proven track record of bringing complex products to market with clear, compelling positioning for technical and business audiences.
  • Experience working cross-functionally with Product, Sales, and Customer Success in a fast-moving environment.
  • Excellent written communication.

Responsibilities

  • Own end-to-end product marketing for a suite of core products, including positioning, messaging, launch strategy, and competitive differentiation, translating new agentic capabilities into clear enterprise value.
  • Partner with product, demand generation, content, communications, and customer marketing teams to drive go-to-market for product and feature launches.
  • Translate product investments into sales-ready narratives, partner with sales enablement to educate the field, and develop pitch materials, one-pagers, and objection-handling guides to equip the field to sell the latest innovations.
  • Drive product and feature adoption through regular user communications and programs.
  • Conduct ongoing competitive intelligence and market research to sharpen differentiation against point solutions and broader AI platforms.
  • Collaborate with cross-functional marketing partners to ensure consistent product messaging across the buyer journey.

Desired Qualifications

  • Experience with the enterprise AI or agentic AI landscape.

About the Company

Writer

Enterprise AI platform for building agents

Writer provides an enterprise AI platform that lets organizations build, deploy, and supervise AI agents tailored to business processes. It runs on its Palmyra LLMs and uses a Knowledge Graph to connect internal data, grounding outputs in company context for accuracy. The platform includes guardrails for compliance and integrates with existing workflows via browser and app extensions. The goal is to help large organizations automate tasks and boost productivity while maintaining control and governance.

Company size
501-1,000
Company stage
Series C
Total funding
$326M
Headquarters
San Francisco, CA
Founded
2020

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