AI product marketing practice exercise for product managers

What is the challenge scenario?

Clara is the only product marketing manager at Loopdesk, a B2B SaaS company launching a project management tool for remote first engineering teams. It is Monday. The launch is in six weeks. The budget is fifteen thousand dollars. There is no agency, no copywriter, no designer on retainer.

Her VP of Marketing sent one message: use AI wherever it makes sense, but own the strategy, do not outsource it. Clara knows the product and the ideal customer profile. What she does not have is bandwidth. The exercise states its own framing directly: AI is a force multiplier for a product marketing manager, not a replacement, and the edge lies in knowing exactly where to deploy it and where to stay in control. A product marketer who treats AI as execution infrastructure, not strategy, will outperform one who either ignores it or over delegates to it.

Your job is to help Clara make those calls across funnel mapping, task ownership, prompt writing, ethics and budget prioritization.

What are you asked to do?

Map six AI use cases, from understanding the customer to personalizing experiences, to the funnel stage where each has the most impact for this specific launch, naming one plausible tool per use case. Sort a list of ten pre launch tasks into AI executes, human leads with AI assisting, or human only, with a one line justification for anything you mark human only. Write a complete AI prompt for five subject line variants targeting engineering managers, including context, constraints and an exact output format. Identify which of four AI ethics risks, privacy, bias, explainability and manipulation, apply to an AI segmentation tool that is about to route 80 percent of the budget to a high value tier, and say what Clara should do before using it. Finish by picking three of the six AI use cases to implement before launch, in 100 words or fewer, and naming what you are deliberately deprioritizing.

What does a strong answer cover?

This bootcamp does not publish a rubric for its practical challenge, so check your own draft against the curriculum's own questions instead of a worked solution:

• Does the answer map each AI use case to a specific funnel stage, rather than treating AI as equally useful everywhere?
• Does it decide who owns each task, AI, human, or both, with a stated reason rather than a default assumption?
• Does the AI prompt include real context, real constraints and an exact output format, not just a one line request?
• Does it name the specific ethics risk actually present in the segmentation scenario, rather than a generic caution about AI bias?
• Does the final prioritization commit to three use cases and openly acknowledge what gets cut and why that is acceptable?

Skills this exercise practises

Mapping AI use cases to funnel stages, deciding task ownership between AI and a human under real constraints, writing a structured, ready to use AI prompt, and spotting an AI ethics risk before it shapes a real budget decision.

Which bootcamp does this challenge come from?

This is the practical challenge from Product Marketing with AI, Builders Camp's one week bootcamp on the market to narrative to product to launch to learning loop, led by Andre Albuquerque across two 90 minute live sessions. Completing it counts toward that bootcamp's certificate. The best AI tools for product managers and ChatGPT for product managers guides are useful next steps for the tool and prompt writing side of this exercise, and the AI productivity practice exercise elsewhere in this series practises the same AI versus human task split from a different angle.

Builders Camp runs live and self paced bootcamps in product management and AI product building. See the Product Marketing with AI bootcamp for current cohort dates and the full self paced curriculum.