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How should product managers think about AI as it relates to roadmap and areas of product investment?

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3 Answers
  1. Jarred Keneally
    Jarred Keneally

    PayPal Senior Director of Product Management AI Platform • 6mo

    Start with the problem, not the technology—ask where AI creates measurable customer value or operational leverage, then prioritize ruthlessly.

    AI should amplify your strategy, not define it. Treat it like any other technology decision—ground it in customer outcomes, tie it to business metrics, and iterate based on what actually moves the needle.

    2,534 Views
  2. Tanu Mutreja
    Tanu Mutreja

    Salesforce Senior Director, Product Management | Formerly Microsoft, AWS, Salesforce, New Relic, Sun Microsystems, Netscape • 6mo

    I like to think about AI roadmaps and investments through two lenses: How AI powers our business i.e. using AI for efficiency, automation, and enhancing existing products. How our business powers AI i.e. leveraging our unique domain expertise to build differentiated, defensible AI capabilities. Beyond that, while core PM principles remain unchanged, AI has introduced several new critical considerations for roadmaps and investments: Natural language and conversational interfaces are now table sta ...Read More

    4,369 Views
  3. Manjeet Singh
    Manjeet Singh

    Salesforce Senior Director of Product Management • Wed

    I’d use three part approach: Start with outcomes, not AI/Model. Pick 2–3 core KPIs (revenue per user, tickets resolved, time-to-value). Ask: “Where can AI create a 5–10x improvement?” not “Where can I add a chatbot?” Structure the roadmap into AI buckets. Foundations: data quality, evals, guardrails, observability. Horizontal: Agents, natural language search, summaries across the product. Deep workflows: a few critical journeys where AI can own the task end-to-end. Sequence investments pragmatic ...Read More

    299 Views

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