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How are you influencing how Product thinks about AI in the roadmap? What can I do to be a more credible partner to the product team in this area?

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4 Answers
  1. Leher Pathak
    Leher Pathak

    OpenAI Head of Product Marketing, API Platform • 1y

    For PMMs working at AI companies, turn to the people who use your AI products every day. Learn about their AI use cases, understand the gaps in the product, and listen to their aspirations to use AI in new ways. There's so much we don't know about the potential of AI, so informing the product roadmap isn't just about filling product gaps but also about shaping what the future of AI might look like. For PMMs working at non-AI companies and trying to influence Product teams to add AI to the roadma ...Read More

    4,859 Views
  2. Claire Peracchio
    Claire Peracchio

    Snowflake Product Marketing Lead • 1y

    Right now, a lot of Product teams are scrambling to identify the best places to apply AI, and businesses are eager to turn AI into their next wave of growth. The great news for PMMs is that you’re uniquely positioned to help guide Product and your broader business during this time of change. Here are a few areas to focus on: Understand AI trends and technology: Follow AI news and trends, and learn more from leaders in the space. Become well-versed in key concepts to collaborate effectively with ...Read More

    3,513 Views
  3. Claudia Michon
    Claudia Michon

    Airtable Former Head of Product and Solutions Marketing | Formerly Salesforce, L'Oreal, Godiva Chocolatier • 2y

    Oh boy, this is a fun one. First, it's important to note that my team has a really strong working relationship with Product. It's not always the case in every company, and I think it's fair to those who don't that I provide this context. I do my own reading and research. I need to know enough to understand what good looks like and what's not meeting the bar for differentiated innovation. You can't do that if you're just sitting around and waiting for Product to hand you a list of features. I am ...Read More

    1,349 Views
  4. Daniel Kaplan
    Daniel Kaplan

    8mo

    Get more technical and sophisticated with AI. To be credible with PMs working on AI, you need to have baseline knowledge: Different models (all the variants of GPT, Claude, Gemini, their strengths and weaknesses) Concepts like context windows, input and output tokens, latency, reasoning traces, retrieval augmented generation, memory, context engineering, evals The difference between agentic workflows and agents Deterministic logic vs probabilistic logic (classical programming vs LLM behavior) St ...Read More

    189 Views

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