Mid Level Senior AI Product Manager Jobs
Mid level senior ai product manager jobs go to professionals ready to own AI product initiatives end to end, translate complex model capabilities into user value, and guide junior team members with limited oversight. Roles are distributed across Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, with a strong mix of remote and hybrid settings, and employers like Amazon, Google, and Capgemini hiring at this level now.
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Showing 5 of 434+ Mid Level Senior AI Product Manager jobs
- Bachelor’s Degree from a recognized college or university in Business Administration, Business Management, or business-related field Required
- Master’s Degree in Business Administration, Hospital Administration, Accounting, Finance or a closely related field is Preferred
- 5 years of progressive work experience in a Finance role, preferably in a multi-entity healthcare provider environment Required
- None Required
- Certified Public Accountant (CPA) Preferred
- Bachelor’s Degree from a recognized college or university in Business Administration, Business Management, or business-related field Required
- Master’s Degree in Business Administration, Hospital Administration, Accounting, Finance or a closely related field is Preferred
- 5 years of progressive work experience in a Finance role, preferably in a multi-entity healthcare provider environment Required
- None Required
- Certified Public Accountant (CPA) Preferred
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Find JobsMid Level Senior AI Product Manager Job Market
Who's Hiring
- Amazon12
- Google8
- Capgemini6
- Databricks6
- TE Connectivity6
Top Industries Hiring
- Technology & Software95
- Healthcare & Medical Services51
- Consulting & Professional Services30
- Banking & Financial Services24
- Retail22
Mid Level Senior AI Product Manager Jobs: Frequently Asked Questions
How do I get a mid level senior ai product manager job?
Position yourself by highlighting AI products you have owned from discovery through launch, decisions you made without constant supervision, and measurable outcomes like adoption or retention gains. Recruiters at this level want evidence of cross-functional leadership, clear thinking on model trade-offs, and the ability to write crisp product specs for engineering teams building with AI. Tailor each application to the specific AI domain the company works in.
Which companies hire mid level senior ai product managers?
Companies hiring mid level senior ai product managers right now include Amazon, Google, and Capgemini, based on current listings on Migrate Mate as of July 2026. The hiring pool includes large technology platforms, enterprise software companies, and well-funded startups that are actively scaling AI-native product teams and need managers who can operate independently on defined product areas.
Are there remote mid level senior ai product manager jobs?
Yes, remote and hybrid options are common at this level. About 35% of mid level senior ai product manager openings are remote or hybrid as of July 2026, reflecting how product teams in AI have adapted to distributed collaboration. Many companies pair flexible location policies with periodic on-site sprints for discovery, planning, or stakeholder alignment.
How do I move up to a mid level senior ai product manager role?
The path to mid level is built through sustained ownership and demonstrable impact. Starting from an associate or junior product role, you grow by taking full accountability for a feature or product area, shipping measurable improvements, and developing a working fluency in machine learning concepts. Building a habit of writing clear product documentation and gathering user evidence strengthens your case for promotion or a mid level hire at a new company.
Which industries hire the most mid level senior ai product managers?
Mid Level senior ai product manager roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they are actively embedding AI into core products and need managers who understand model behavior well enough to set direction without being blocked by engineering complexity.