WisdomAI is redefining the Business Intelligence category with an AI Data Analyst that empowers knowledge workers to get accurate answers from enterprise data. They are seeking a Product Marketing Manager who will drive adoption across various teams by managing product launches, creating compelling messaging, and enabling sales with the necessary tools and insights.
Responsibilities:
- Build and evolve WisdomAI’s core messaging anchored in audience needs, not just product features
- Translate deep analytics workflow understanding into compelling value propositions for analytics leaders, data teams, and business teams
- Create consistent, resonant messaging across product, sales, and marketing functions
- Run continuous qualitative and quantitative research to map audience pain points, workflows, and decision criteria
- Build and maintain personas and ICP definitions (analytics leaders, BI owners, RevOps, FP&A, product teams)
- Serve as the internal expert on how our audience works, buys, adopts, and expands
- Own end-to-end launches for major features, capabilities, and platform releases
- Create differentiated launch narratives tied to a broader audience-centric story — not just release notes
- Partner with product, design, and marketing to deliver multi-channel launch programs that resonate
- Maintain a live view of how competitors solve problems for the same audience segments
- Build clear 'Why Wisdom vs. X' narratives framed around workflows and outcomes — not just features
- Enable sales and product with actionable competitive insights
- Build pitch decks, playbooks, objection handling guides, and customer stories aligned to the real-world stack of tools our audience uses
- Partner with Sales, Solutions Engineering, and Customer Success to ensure they have the messaging, tools, and stories needed to win
- Develop top-to-bottom funnel content that shows how WisdomAI improves the full workflow: Analytics → Insights → Decisions → Actions → ROI (Business Value)
- Collaborate with the Head of Product Marketing and other company leaders to articulate our category POV
- Create content that covers broader interests of the analytics/data audience, not just product features
- Shape packaging and pricing recommendations grounded in persona needs and value realization
- Identify adoption blockers and create targeted enablement to accelerate activation and expansion
- Act as the connective tissue between Product, Sales, Success, and Marketing
- Bring the 'voice of the customer' into roadmaps, positioning, and feature prioritization
- Ensure customer feedback, audience insights, and competitive intelligence flow across the company