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Dust

Enterprise AI agent platform

Product Marketer

Product MarketingConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$160k - $240k /yr

About the Job

Requirements

  • 3–5+ years of dedicated product marketing experience, ideally with strong product marketing foundations from an established B2B technology company and hands-on experience in a high-growth startup.
  • A track record of personally owning technical B2B product or feature launches from positioning through execution.
  • Product storytelling skills that make complex technology clear, credible, and compelling.
  • Ability to create positioning and messaging, web and written content, social content, presentations, and video or demo storytelling.
  • Technical curiosity and ability to build credibility with engineers by asking thoughtful questions and quickly becoming fluent in the product.
  • An informed point of view on modern product marketing.
  • Comfort operating with ambiguity and determining the right approach rather than defaulting to an established playbook.
  • Hands-on working style, including writing copy, developing storyboards, building launch plans, and setting strategy.
  • Deep fluency in and curiosity about AI, and willingness to use Dust to run the function and become familiar with customers’ use of AI.
  • Based in New York.

Responsibilities

  • Own product launches from initial narrative and positioning through asset creation, amplification strategy, and sales enablement.
  • Build and run an always-on launch program supporting at least 5–7 releases each quarter.
  • Partner with engineering to understand what is shipping, why it matters, and which initiatives require a broader market moment.
  • Establish lightweight launch tiers and processes that create consistency without slowing the team down.
  • Develop positioning and messaging for new capabilities, translating technical innovation into clear, differentiated narratives for buyers and users.
  • Create launch assets including short-form videos, social campaigns, web copy, blogs, livestream events, customer communications, and sales collateral.
  • Develop feature overview videos by owning storyboarding and screen capture end-to-end, using in-house creative and design support or external contractors as needed.
  • Experiment with formats and approaches to make the product understandable, memorable, and exciting.
  • Build strong relationships with engineers and user leads and partner with them on product launches.
  • Develop sufficient technical fluency to ask informed questions, challenge assumptions, and uncover the key customer and market story.
  • Operate effectively in an autonomous product environment where engineers often lead initiatives directly.
  • Bring customer, competitive, and market context into product positioning and communications.
  • Partner with the founders and marketing leadership on major product narratives and moments.
  • Equip Sales and Customer Success with messaging, assets, and context to pitch new capabilities to customers.
  • Partner with Brand & Content to develop editorial and content opportunities from product innovation.
  • Work with Growth and Field Marketing to extend launches across campaigns, events, and distribution channels.
  • Maintain clear and consistent product positioning and differentiation as the platform evolves.
  • Create a reliable pipeline of high-quality product content for teams across the company to use and distribute.

Desired Qualifications

  • Strong product marketing foundations from an established B2B technology company and hands-on experience in a high-growth startup are described as ideal.

About the Company

Dust

Enterprise AI agent platform

Dust provides a horizontal, open-source platform for building, deploying, and managing custom AI agents that connect to a company’s data and tools. It acts like an AI operating system by integrating with data sources and apps like Slack, Notion, Google Drive, and GitHub, and supports multiple LLM providers with a no/low-code interface, building blocks, and a scripting language to parse outputs. It targets non-technical users to automate tasks and gain insights across departments, focusing on deployment and productization of AI rather than model development. It differentiates itself with model-agnostic compatibility, strong security (SOC 2 Type II, GDPR), and a horizontal B2B SaaS strategy aimed at broad enterprise adoption.

Company size
51-200
Company stage
Series B
Total funding
$62M
Headquarters
Paris, France
Founded
2023

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