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An enterprise AI product manager at Glean owns a platform, at Harvey a legal workflow, and at Sierra or Decagon one customer's agent. AllthingsPM read all 49 of their PM job descriptions and built a scored mock for each.
AllthingsPM read the 5 public sector PM job descriptions in its catalog from Anthropic, Scale AI and Sierra. All five ask for field discovery and model evaluation; two name a clearance, two name FedRAMP. Each has a mock interview built from its own text.
AllthingsPM read 8 healthcare and life sciences AI product manager job descriptions from Abridge, OpenAI, Sierra and Decagon. Pay runs from $180K to $468K, every posting names domain experience, and 6 of 8 ask for regulated or compliance work. Each has a mock interview built from its own text.
AllthingsPM read all 18 Sierra product manager job descriptions in its catalog: 13 are Agent Development roles that ask for senior PM experience, customer demos and some React, TypeScript and Go. Each one has a scored mock interview built from its own text.
An Agent Product Manager owns one customer's AI agent end to end: scoping it with executives, building and testing it, and feeding what breaks back into the product. AllthingsPM read all 20 Agent PM job descriptions Decagon and Sierra post, and each has a scored mock interview.
Reading is the easy half.
The course grades the other half.
