Senior AI Product Manager — Hiring agent

August 20, 2026

Welcome, Preview. Great to be working on this with you — the AI Project Manager role sounds like an exciting hire. Brief me to get started: paste the job description, or just tell me what this person will own, the must-have skills, and how senior they should be. As we talk I'll keep the hiring brief updated and shortlist the best-matched engineers from StarPlan's benchmark-vetted pool in the Candidates panel — Star-pool members are badged. Unlocking is free, and you pay only when you hire — 10% of first-year salary with a 3-month guarantee.

I’m hiring a Senior AI Product Manager with at least five years of relevant experience. The essential capabilities are: * AI use-case scoping * product strategy and roadmap planning * AI risk assessment and responsible AI * defining evaluation criteria and success metrics * stakeholder communication * cross-functional collaboration with engineering, design and business teams Experience with AI or machine learning products is required. Technical understanding is important, but hands-on model development is not essential. Healthcare industry experience is desirable, but not essential. Please update the hiring brief and rank the best-matched candidates.

Brief updated and I ran the StarPlan search — check the ranked shortlist now in the Candidates panel. Unlocking profiles and contacting engineers is free; fee is 10% of first-year base (AUD) only on hire with a 3-month guarantee. Quick question: what target base salary range (AUD) should I use when ranking candidates?

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Search run — 8 candidates shortlistedAug 20 · 12:04

Brief updatedAug 20 · 12:04

Role renamed to “Senior AI Product Manager”Aug 20 · 12:04

Role createdAug 20 · 12:03

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Role: Senior AI Product Manager Seniority: Senior — 5+ years relevant experience Must-have skills: AI use-case scoping; product strategy and roadmap planning; AI risk assessment and responsible AI; defining evaluation criteria and success metrics; stakeholder communication; cross-functional collaboration with engineering, design and business teams; experience with AI/ML products; strong technical understanding of ML systems and evaluation (hands-on model development not required) Nice-to-have: Healthcare industry experience; familiarity with regulatory/compliance environments (e.g. HIPAA/TGA); experience with MLOps, data governance, or evaluation frameworks; prior startup/fast-paced product experience Domain: AI / Machine Learning products Notes: Senior-level hire who will own product strategy, risk assessments, measurement of model performance and stakeholder alignment. Location and compensation not yet specified — please provide preferences to refine shortlist.

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Danger zone