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AI / Agentic Software · New York

Product Marketing Manager

$125K - $175K + competitive equity
First dedicated Product Marketing hire at the company, an AI-native brand and retail intelligence platform that unifies internal research, syndicated data and social signals into a single auditable source of truth for consumer brands. Closed a $14M seed after a year in stealth; proven with Fortune 500 clients and now building out go-to-market, including a new PLG motion (Pulse, a free consumer product with credit-based monetization). The PMM owns positioning and messaging, GTM for new features, sales enablement (decks, one-pagers, battlecards, objection handling, demo scripts), mid-to-bottom-funnel content (solution/use-case pages, case studies, comparison content), competitive intelligence vs generic AI tools and social listening platforms, and win/loss and buyer research. Reports to the Head of Brand. Team of 9-12, direct access to CEO, Product and Sales. No visa sponsorship. Hiring 1. NON-IDEAL BACKGROUNDS (client asked to avoid): Salesforce, Oracle, SAP, Microsoft, IBM, ServiceNow, Workday, Adobe — too process-heavy, less ownership culture. CLIENT'S IDEAL SOURCE COMPANIES: NielsenIQ, Circana, Qualtrics, Brandwatch, Sprinklr, Numerator, Euromonitor, Kantar, Morning Consult; Gong, Clari, the company, Crayon, Klue, Domo, ThoughtSpot, Databricks, Snowflake; Skai, Profitero, Syndigo, SPINS, Tastewise, Yext, Contentsquare, Amplitude; Notion, Figma, Loom, Airtable, Census, Hightouch, Monte Carlo, Fivetran, dbt Labs.

What we're looking for

  • •Product marketing at a high-growth B2B tech startup
  • •5-8 years of experience in product marketing at B2B tech startups
  • •Experience with data-heavy products where privacy and enterprise security are core
  • •Writes and produces web pages, positioning decks, one-pagers, battlecards, etc
  • •Fluent in AI-assisted workflows and content automation
  • •High ownership - produces assets, not just strategy
  • •Able to work on-site in New York City

Nice to have

  • •Experience with long-cycle, multi-stakeholder enterprise sales
  • •Bachelor's degree in marketing, business, or related field
  • •Experience in AI/data/research-tech categories
  • •Marketing to CPG/consumer brand audiences
  • •Track record of measurable impact on win rates, conversion or influenced pipeline
  • •Experience supporting a PLG motion alongside enterprise sales
  • •Competitive intelligence / win-loss analysis experience

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