AMA: Carta Director of Product Marketing, Q Chen on AI and Product Marketing

July 16 @ 10:00AM PT

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We will email you Q's answers to these questions after the event in case you can't make it.

How are you leveraging AI in product marketing?
How do you structure your day now, using AI? How about your week?
What's the most productive use case for generative AI for product marketing?
In a market where every SaaS company is adding AI features to existing workflows, how do you build AI positioning that actually changes buyer behavior rather than just checking a box for evaluation committees?
What are some example prompts PMM have found success using?
Over the past quarter, what have been the 2–3 biggest pain points with your stack (e.g., duplication, integration gaps, data silos, governance/compliance)?
How do you build synthetic personas with AI to test messaging?
What have you been using to leverage results, analytics, and predict election movements and behaviors using AI in political digital marketing?
What is your top used AI agent as a product marketer?
When AI dramatically accelerates content production, how do you maintain quality and brand consistency without creating bottlenecks that negate the speed gains?
At a consumer product operating at massive global scale, how do you use AI to surface positioning insights without the data noise overwhelming the signal from genuinely different user segments?
When you're marketing AI capabilities embedded into an existing enterprise platform, how do you avoid positioning that makes existing customers feel their workflows are suddenly broken rather than better?
Can you walk us through your PMM AI workflows - how are you using AI in your day to day work? And what can you share with us so we can replicate it ourselves?

AMA: Carta Director of Product Marketing, Q Chen on AI and Product Marketing

Register for AMA

How are you leveraging AI in product marketing?

How do you structure your day now, using AI? How about your week?

What's the most productive use case for generative AI for product marketing?

In a market where every SaaS company is adding AI features to existing workflows, how do you build AI positioning that actually changes buyer behavior rather than just checking a box for evaluation committees?

What are some example prompts PMM have found success using?

Over the past quarter, what have been the 2–3 biggest pain points with your stack (e.g., duplication, integration gaps, data silos, governance/compliance)?

How do you build synthetic personas with AI to test messaging?

What have you been using to leverage results, analytics, and predict election movements and behaviors using AI in political digital marketing?

What is your top used AI agent as a product marketer?

When AI dramatically accelerates content production, how do you maintain quality and brand consistency without creating bottlenecks that negate the speed gains?

At a consumer product operating at massive global scale, how do you use AI to surface positioning insights without the data noise overwhelming the signal from genuinely different user segments?

When you're marketing AI capabilities embedded into an existing enterprise platform, how do you avoid positioning that makes existing customers feel their workflows are suddenly broken rather than better?

Can you walk us through your PMM AI workflows - how are you using AI in your day to day work? And what can you share with us so we can replicate it ourselves?