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Omni is an AI analytics platform that transforms company data into a trusted source of truth for AI. Built on a semantic model, Omni provides enterprises with a governed context graph for analytics and AI, enabling teams to ask questions in plain English and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. The company has raised $217M from top-tier investors and is valued at $1.5B following its Series C.
As Product Marketing Manager for Enterprise, you'll be a dedicated partner to the enterprise sales organization, building narratives, decks, and business-value content that help close complex, strategic deals. This is a hands-on role on a small, ambitious product marketing team where you'll spend time understanding deals deeply: shaping stories for specific prospects, translating technical proofs-of-concept into business cases for CFOs, and turning customer wins into reusable assets for the broader enterprise sales team.
Key responsibilities include: building and continuously refining Omni's core enterprise sales decks and customizing them for specific industries, personas, and opportunities; partnering with Enterprise Account Executives and Solutions Engineers to develop deal-specific content such as ROI narratives, executive one-pagers, and business cases; capturing customer wins as compelling story presentations and reference content; translating technical concepts into business value content for economic buyers; creating a library of reusable, easily customized content to enable AE self-service; proactively partnering with the field by attending deal reviews and account plans to identify and address content gaps; and supporting expansion into new industries and lines of business while maintaining messaging consistency.
You'll succeed in this role with 5+ years of product marketing, competitive/deal-based marketing, or hybrid sales-and-marketing experience in B2B SaaS. You should have a proven track record of building content that directly influenced enterprise deal outcomes, strong storytelling instincts, and the ability to translate technical concepts into business value for VP and C-level audiences. Comfort working directly with sales and customers in-deal, including in front of prospects and at events, is essential. You'll need high agency and a bias to action—spotting gaps and building fixes proactively. Experience in BI, data analytics, or the modern data stack is a strong plus. Industry-specific selling experience and Solutions Engineering partnership experience are nice-to-haves.
