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Jessica Seitz

AMA: Atlassian Head of Product Marketing, Platform Experiences & Agents, Jessica Seitz on AI and Product Marketing


June 16 @ 9:00AM PT

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  1. How do you document your product to ensure internal teams have what they need — and how do they actually access it (especially in the age of AI)?

    Hi all! We're currently re-evaluating how we document product information to better support internal stakeholders (Sales, CS, Marketing, Enablement, etc.). I’m curious: - What does your “source of truth” look like? - How do you structure it (by feature, persona, use case, release, etc.)? - How do you ensure it’s actually usable and up to date? - Ownership between PM + PMM? - How do internal teams access information day-to-day? - Are you leveraging AI (e.g., internal GPT trained on docs) to help surface answers? - What’s working — and what’s broken? Context: I’m trying to balance comprehensive documentation with real-world usability, especially as AI search becomes more common internally. Would love to see examples, templates, or systems that have worked well for you.

    Jessica Seitz
    Jessica Seitz

    Atlassian Head of Product Marketing, Platform Experiences & Agents • Tue

    Yeah these are all great questions, here's how my team approaches it at Atlassian: 1. What does our "source of truth" look like? We maintain an approved BOM (bill of materials) and Content Library in Confluence for each product area that link out to all the approved resources.  BOMs include: Message house, personas, use cases, competitive positioning and battlecards, product tour landing pages, demos, pitch decks, FAQs, customer proof, approved stats, analyst reports  Content Library: Thought le ...Read More

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  2. How do you decide which AI capabilities to lead with in your product narrative when the technology is advancing faster than your buyers can absorb it?

    Jessica Seitz
    Jessica Seitz

    Atlassian Head of Product Marketing, Platform Experiences & Agents • Tue

    I'd think more about what problems are now solved for your customers and how do you best get that message to them. This is where segmentation is super important so you understand who am I trying to reach, with what use cases, and where will they most naturally consume that information. We're super focused on adoption right now because while the market is talking about complex multi-agent orchestration, most of our customers are really focused on figuring out how to drive safe AI adoption and for ...Read More

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  3. How do you feel about AI for crafting copywriting and messaging?

    Jessica Seitz
    Jessica Seitz

    Atlassian Head of Product Marketing, Platform Experiences & Agents • Tue

    It's pretty amazing how much better it's gotten over the past 3-6 months. 6 months ago, it was moderately useful for refining content we had already written, but now it's incredibly helpful for everything from generating first drafts to polishing final revisions -- especially when it's trained on our context graph (the teamwork graph). For an upcoming launch I'm working on, we went from a one-hour Zoom meeting (with Loom meeting recording added) to a launch PRFAQ draft. The meeting included the ...Read More

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  4. When working on a new project, what criteria do you use to evaluate which tasks to outsource to AI?

    Jessica Seitz
    Jessica Seitz

    Atlassian Head of Product Marketing, Platform Experiences & Agents • Tue

    I don't think of it as "outsourcing tasks to AI" so much as having a collaborator that's always available and compressing cycles. A few criteria I'd use: Can you clearly define the job to be done? If you can't articulate what good looks like, AI will struggle. The clearer your prompt, the better the result will be. Do you do it repeatedly? Repetitive tasks are the obvious win. Competitive intel roundups, project status updates, first-pass FAQs, meeting summaries... anything you find yourself doi ...Read More

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