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Product Managers define what gets built and why — translating customer problems and business goals into product roadmaps, working with engineering, design, and data teams to ship. In the AI era, PMs increasingly need to understand LLM capabilities, evaluation, and the unique challenges of shipping AI-powered products: probabilistic output, latency, cost, and trust. This board aggregates open Product Manager roles daily from public ATS feeds, linked to the original posting.

📊 Hiring Index September 2026 What is a Product Manager? Salary data

Product Manager — FAQ

What does a Product Manager do?
A Product Manager defines the product strategy, prioritises the roadmap, and works cross-functionally with engineering, design, data, and go-to-market teams to ship features that solve customer problems and drive business outcomes. PMs own the 'what' and 'why'; engineering owns the 'how'.
Technical PM vs. Product Manager?
Technical PMs (TPMs at some companies) have deeper engineering backgrounds and often own platform or infrastructure products. Product Managers at product-facing companies typically focus on customer-facing features and business metrics. The line varies widely by company.
What makes a good AI-era Product Manager?
Understanding LLM capabilities and limitations, ability to write clear evaluation criteria for AI features, comfort with probabilistic product behaviour (not everything is deterministic), and strong instincts for when AI adds value vs. adds complexity. Increasingly, AI PMs are expected to prototype with LLM APIs directly.