Own the vision, roadmap, and execution of AI-powered products. AI PMs define what to build, prioritize features, work with engineering on model and prompt design, and ensure products deliver value while managing ethical and safety considerations.
$120,000 - $185,000
71% (2024-2026)
Extremely High
Morning standups with engineering and design: you review sprint progress, unblock decisions on model behavior, and refine acceptance criteria for the new summarization feature. You might run a user interview to validate whether the AI assistant's tone and length match expectations. Back at your desk, you update the roadmap, balancing technical debt (evaluation pipelines) with new feature requests. Afternoons are for stakeholder alignment—presenting metrics to leadership, negotiating scope with sales, or aligning with legal on data and compliance. You write PRDs and one-pagers for upcoming AI initiatives. You stay close to the prompt engineering team, translating user needs into clear, testable requirements. End of day might include catching up on AI news and competitive analysis to keep the product strategy sharp.
Develop AI literacy with AI for Business Leaders and AI Fundamentals
Gain product management experience (ideally in tech or B2B SaaS)
Learn to specify prompts and model behavior with Advanced Prompt Engineering
Ship at least one AI feature end-to-end (even internal or side project)
Build relationships with AI engineers and understand their workflows
Study AI product case studies (ChatGPT, Notion AI, GitHub Copilot, etc.)
Apply for AI PM roles at product-led tech companies and AI startups
Strategic AI leadership training designed for C-suite executives, directors, and business owners who need to drive AI transformation.
Master the foundations of AI and learn to craft effective prompts that deliver consistent, high-quality results from any AI model.
Take your prompt skills to expert level with advanced techniques, autonomous agents, and production-grade prompt systems.
Navigate the complex landscape of responsible AI. Learn to implement ethical AI practices and compliance frameworks.