Senior AI Product Manager Jobs
Senior AI Product Manager jobs are open across technology, healthcare, fintech, and enterprise software, from mid-level to staff and principal, with specializations in generative AI, machine learning platform strategy, and AI-native product development. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,193+ Senior AI Product Manager jobs
Essential Responsibilities
- Partner with AI Strategy leadership to convert prioritized AI opportunities into executable roadmaps, workstreams, milestones, resource plans, and delivery plans.
- Establish and manage the operating framework for AI SBU initiative intake, planning, sequencing, dependency management, execution governance, and delivery reporting.
- Lead day-to-day AI SBU operations, including planning, decision tracking, resource coordination, process improvement and leadership priorities.
- Partner with Enterprise Architecture, Data Engineering, Application Development, Infrastructure, and Information Security teams to translate AI priorities into technical requirements and support high-level solution architectures.
- Define end-to-end solution, including data flows, integrations, technology dependencies, control, implementation, and operational support models.
- Serve as the primary liaison between the AI SBU and technology delivery teams, ensure clear ownership, coordinated execution, and alignment with priorities.
- Lead cross-functional planning, design, and execution sessions involving business stakeholders, technology teams, vendors, and governance functions.
- Identify potential challenges and risks associated with change initiatives and develop mitigation strategies.
- Facilitate cross-functional evaluation of solution alternatives, bringing together the appropriate architecture and engineering leaders to assess feasibility, scalability, technology fit, integration complexity, operational readiness, implementation risk, and build-versus-buy considerations.
- Drive AI initiatives from planning through implementation, adoption, operationalization, and post-implementation measurement ensuring alignment with the business outcome.
- Manage portfolio-level risks, issues, dependencies, resource constraints, and delivery conflicts; escalate decisions requiring leadership action.
- Provide executive-level visibility into delivery progress, milestones, risks, resource needs, trade-offs, and decisions.
- Partner with AI Governance and internal teams to embed applicable requirements into solution delivery.
- Analyze current processes, identify opportunities for improvement, and implement efficient solutions to optimize the operation of the AI SBU.
- Develop reusable solution patterns, implementation playbooks, governance processes, and reporting to improve speed, consistency, control, and sustainability of AI execution.
Education & Years of Experience
- Minimum - Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, Business or related
- Preferred - Graduate Degree Business, Information Technology or related
- Minimum - Progressively experience spanning technology program leadership, enterprise delivery, engineering, systems implementation, portfolio management, strategy and operations or related
In Lieu of Education
- 15 Years of Technology program leadership, systems engineering, solution delivery, architecture or related
License/Certifications/Training
- Preferred - Project Management Professional (PMP)
- Preferred - SAFe, Agile, or comparable product-delivery certification
- Preferred - Cloud, engineering, or solution-architecture certification
- Preferred - AI, data, machine-learning, or change-management training
Compensation & Benefits:
Typical hiring range: $149,700.00 to $256,700.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
- Annual performance bonus
- Work from home up to 3 days a week
- Paid parental leave
- Employee discount programs
- Time off including paid personal and sick days
- 11 paid holidays
- Education reimbursement
- Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
Essential Responsibilities
- Partner with AI Strategy leadership to convert prioritized AI opportunities into executable roadmaps, workstreams, milestones, resource plans, and delivery plans.
- Establish and manage the operating framework for AI SBU initiative intake, planning, sequencing, dependency management, execution governance, and delivery reporting.
- Lead day-to-day AI SBU operations, including planning, decision tracking, resource coordination, process improvement and leadership priorities.
- Partner with Enterprise Architecture, Data Engineering, Application Development, Infrastructure, and Information Security teams to translate AI priorities into technical requirements and support high-level solution architectures.
- Define end-to-end solution, including data flows, integrations, technology dependencies, control, implementation, and operational support models.
- Serve as the primary liaison between the AI SBU and technology delivery teams, ensure clear ownership, coordinated execution, and alignment with priorities.
- Lead cross-functional planning, design, and execution sessions involving business stakeholders, technology teams, vendors, and governance functions.
- Identify potential challenges and risks associated with change initiatives and develop mitigation strategies.
- Facilitate cross-functional evaluation of solution alternatives, bringing together the appropriate architecture and engineering leaders to assess feasibility, scalability, technology fit, integration complexity, operational readiness, implementation risk, and build-versus-buy considerations.
- Drive AI initiatives from planning through implementation, adoption, operationalization, and post-implementation measurement ensuring alignment with the business outcome.
- Manage portfolio-level risks, issues, dependencies, resource constraints, and delivery conflicts; escalate decisions requiring leadership action.
- Provide executive-level visibility into delivery progress, milestones, risks, resource needs, trade-offs, and decisions.
- Partner with AI Governance and internal teams to embed applicable requirements into solution delivery.
- Analyze current processes, identify opportunities for improvement, and implement efficient solutions to optimize the operation of the AI SBU.
- Develop reusable solution patterns, implementation playbooks, governance processes, and reporting to improve speed, consistency, control, and sustainability of AI execution.
Education & Years of Experience
- Minimum - Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, Business or related
- Preferred - Graduate Degree Business, Information Technology or related
- Minimum - Progressively experience spanning technology program leadership, enterprise delivery, engineering, systems implementation, portfolio management, strategy and operations or related
In Lieu of Education
- 15 Years of Technology program leadership, systems engineering, solution delivery, architecture or related
License/Certifications/Training
- Preferred - Project Management Professional (PMP)
- Preferred - SAFe, Agile, or comparable product-delivery certification
- Preferred - Cloud, engineering, or solution-architecture certification
- Preferred - AI, data, machine-learning, or change-management training
Compensation & Benefits:
Typical hiring range: $149,700.00 to $256,700.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
- Annual performance bonus
- Work from home up to 3 days a week
- Paid parental leave
- Employee discount programs
- Time off including paid personal and sick days
- 11 paid holidays
- Education reimbursement
- Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
Senior AI Product Manager Jobs by Experience Level
Top Cities Hiring Senior AI Product Managers
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Find JobsSenior AI Product Manager Job Market
Who's Hiring
- TikTok31
- Google27
- Meta24
- Amazon20
- JPMorganChase18
Top Industries Hiring
- Technology & Software27
- Banking & Financial Services6
- Retail4
- Education4
- Consulting & Professional Services4
What Employers Look For
The qualifications that appear most often in senior AI product manager jobs.
- 5+ years of product management experience with at least 2 years on AI or ML products
- Demonstrated experience shipping production AI features, models, or platforms to real users
- Ability to write and interpret technical specifications alongside machine learning engineers
- Proficiency with product analytics tools and model performance evaluation frameworks
- Experience working cross-functionally with data science, MLOps, and design teams
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Senior AI Product Manager Job Search
Quantify your AI product impact clearly
Hiring teams for senior ai product manager roles want to see measurable outcomes tied to model deployment, not just roadmap ownership. Rewrite your resume bullets to show adoption rates, latency improvements, or revenue impact from specific AI features you shipped.
Signal AI fluency beyond product instincts
You don't need to write code, but you do need to show you understand model evaluation, data pipelines, and inference tradeoffs. Add a skills section that names specific frameworks, platforms, or evaluation methods you've worked with alongside engineering and data science teams.
Target roles by AI maturity stage
Companies early in their AI buildout hire differently than those scaling an existing platform. Filter your search by job descriptions that mention greenfield work versus optimization and scaling, then tailor your application story to match where the company actually is.
Apply early to roles that fit
Migrate Mate lists senior ai product manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for technical product case interviews
Senior ai product manager interviews frequently include live case exercises where you define success metrics for a model, prioritize between competing ML features, or diagnose a drop in model performance. Practice framing these in terms of user impact and business value, not engineering detail.
Negotiate against a total compensation benchmark
Offers at the senior level often include equity tied to AI product milestones, performance bonuses linked to adoption, or compute budgets as a perk. Ask specifically about each component before accepting so you're comparing total value across offers, not base salary alone.
Senior AI Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most senior ai product managers?
The companies hiring the most senior ai product managers right now include TikTok, Google, and Meta, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology platforms, enterprise software, and healthcare AI companies building or scaling production AI systems.
How many senior ai product manager jobs are remote?
About 80% of senior ai product manager openings are fully remote or hybrid as of November 2026, making it one of the more remote-accessible roles at the senior level. Sub-areas with the highest remote share include platform and infrastructure AI products, while roles focused on hardware integration or in-person research collaboration skew more toward on-site.
How do you become a senior ai product manager?
Start by building hands-on product experience on teams that ship data-driven or ML-powered features, even if AI is not the primary product focus. Move into roles where you own the roadmap for a model-dependent feature, develop fluency in evaluating model performance tradeoffs, and build a portfolio of shipped AI products with measurable outcomes before targeting senior titles.
Can you get hired as a senior ai product manager without direct AI experience?
It is possible if you can demonstrate adjacent depth, such as owning analytics products, working closely with data science teams, or shipping features that relied on recommendation or classification systems. Hiring managers at this level look for evidence you can operate at the intersection of engineering complexity and user value, so framing past work through that lens matters more than a formal AI title.
What does the senior ai product manager interview process look like?
Most senior ai product manager interview processes include a recruiter screen, a hiring manager conversation focused on past AI product decisions, a technical case exercise where you define metrics or prioritize an ML roadmap, and a cross-functional panel with engineering and design stakeholders. Final rounds often include a presentation of a past product you owned from discovery through launch, with emphasis on how you handled model limitations and tradeoffs.
Where can I find and apply to senior ai product manager jobs?
You can find and apply to senior ai product manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing from the page.
See All 1,193+ Senior AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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