State of AI Product Management 2027: Evidence from 1,082 Product Manager Job Postings

Discussion of "AI product management" has outpaced measurement of it. This paper sizes the AI-focused segment of product manager (PM) hiring and describes what it asks for, using 1,082 unique PM job postings at 165 companies harvested on 9 November 2026 from the public Greenhouse, Ashby and Lever job-board APIs. A posting is classed AI-focused when its title names AI, machine learning or agents, or when its body is densely about those topics. By that rule 45.8% of postings (496) are AI-focused, although only 15.1% say so in the title. The share is highest for plain "Product Manager" titles (51.9%) and lowest for Senior titles (40.6%) and for postings marked only as remote (36.4%). AI-focused postings differ from other PM postings mainly on a short list of skills: AI agents (59.7% vs 12.3%), machine learning (43.8% vs 10.6%), LLMs and generative AI (37.7% vs 7.2%), prototyping or coding (36.9% vs 17.9%), go-to-market (42.3% vs 25.4%) and evals (13.7% vs 1.0%). Generic PM skills such as roadmaps, communication and stakeholder management appear at almost identical rates in both groups. Among the 68.7% of US and US-remote postings that disclose a range, the median pay midpoint is USD 227,500 for AI-focused roles and USD 198,000 for others, a gap of about 15%; the premium appears at the PM and Senior levels but not at Staff/Principal. AI-focused demand is concentrated: the 15 companies with the most AI-focused postings account for 40.7% of them. The data are a snapshot taken in November 2026 and are offered as an outlook going into 2027. Data: AllthingsPM PM Hiring Index, November 2026 (1,082 Product Manager job postings, 165 companies), doi:10.5281/zenodo.24072616. Part of the AllthingsPM PM Hiring Index working paper series. Author: Arpit Ranjan, AllthingsPM (allthingspm.app). Conflict of interest: the author is the founder of AllthingsPM, an AI product management course and interview-practice platform mentioned in this paper.