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Product Marketing Manager — WisdomAI

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Allianceled
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Digital Marketing, Product Designer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Wisdom

AI is redefining the Business Intelligence category with an AI Data Analyst that finally delivers on the promise of end-user self-service. By combining our Enterprise Context Layer, semantic memory, and human-curation with AI reasoning, Wisdom

AI empowers every knowledge worker to ask questions, get accurate answers grounded in enterprise data, and take action — all in their workflow.

We are backed by Kleiner Perkins, NVentures, Coatue, Madrona, GTM, and Menlo Ventures, and we are building a world-class team to scale the category we’re creating.

Role Overview

We are looking for an analytical, audience-obsessed, and multi-media savvy Product Marketer (storyteller) who can wear multiple hats and work flexibly across the portfolio of product marketing projects to drive adoption across analytics leaders, data teams, product teams, and business users.

You’ll work on product launches, website content (industry, solutions, and product messaging), sales enablement, video content, competitive strategy and a host of other GTM programs. As we build the team there will be opportunities for increased specialization – but as a scrappy Series A company moving fast, we’re looking for a “get it done” team player who is low on ego and high on agency — with a passion for collaboration and teamwork across Product, Marketing, Sales, and Success.

What You’ll Work On

  • Build and evolve Wisdom

    AI’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.
2. Audience Research & Insights
  • 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, Rev Ops, FP&A, product teams).
  • Serve as the internal expert on how our audience works, buys, adopts, and expands.
3. Product Launch Strategy
  • 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.
6. Content Strategy & Thought Leadership
  • Develop top-to-bottom funnel content that shows how Wisdom

    AI improves the full workflow:
  • 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.
8. Cross-functional Partnership
  • 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.

What You Bring

  • Must have a minimum 5 years of Product Marketing experience in Data, Analytics, BI, or AI Software (Snowflake, Databricks, Big Query, AWS, Power

    BI, Tableau, Looker, Sigma Computing, Omni, etc.)
  • Experience working with technical audiences (Analytics, Data Engineering, Departmental Analytics teams like Rev Ops, FP&A).
  • Ability to break down complex AI or data concepts into clear, concise messaging.
  • Portfolio demonstrating GTM asset creation: pitch decks, competitive tear-downs, launch…
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