Mid Level AI Product Manager Jobs
Mid level ai product manager jobs call for professionals ready to own AI features end to end, align cross-functional stakeholders, and guide junior teammates without waiting for direction. Roles run across Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, with 35% remote or hybrid availability, and employers like Amazon, Google, and Capgemini hiring at this level now.
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Showing 5 of 434+ Mid Level 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 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 AI Product Manager Jobs: Frequently Asked Questions
How do I get a mid level ai product manager job?
Lead with ownership, not participation. Hiring managers at this level want to see features or AI initiatives you drove from discovery through launch, decisions you made when the path was unclear, and measurable outcomes those choices produced. Tailor your resume to show scope of responsibility, not just task completion, and be ready to walk through your product thinking in depth during interviews.
Which companies hire mid level ai product managers?
Companies hiring mid level ai product managers right now include Amazon, Google, and Capgemini, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide mix of employers, including enterprise technology companies building internal AI platforms, growth-stage startups scaling their core product, and large consumer brands embedding AI into existing experiences.
Are there remote mid level ai product manager jobs?
Yes, remote and hybrid options are common at this level. About 35% of mid level ai product manager openings are remote or hybrid as of July 2026, reflecting how broadly product organizations have adopted flexible work. On-site roles tend to concentrate at companies with embedded hardware, regulated data environments, or teams that rely heavily on in-person collaboration between product and engineering.
How do I move up to a mid level ai product manager role?
The clearest path is building a portfolio of ownership rather than support. In your first few years, look for chances to lead a feature from problem definition through shipping, take on stakeholder communication without a senior PM filtering everything, and quantify the impact of what you shipped. Depth in AI product concepts, such as understanding model evaluation, data pipelines, and responsible AI tradeoffs, accelerates the move from contributor to owner.
Which industries hire the most mid level ai product managers?
Mid Level 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 share a common driver: they are actively embedding AI into core products and workflows at scale, which creates sustained demand for product managers who can bridge business goals with machine learning capabilities without needing constant senior oversight.