Senior Level AI Product Manager Jobs
Senior level ai product manager jobs place experienced practitioners in ownership of AI product strategy, roadmap decisions, and the cross-functional teams and initiatives that deliver them. Roles are concentrated across Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with a mix of on-site, remote, and hybrid settings, and employers like Okta, Northwest Bank, and Stripe hiring at this level now.
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Showing 5 of 69+ Senior Level AI Product Manager jobs
Position: AI Engineer
Location: Charlotte, NC | Saint Louis MO - Hybrid
Job Description:
- Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 10+ years of experience.
- Strong experience in AI/ML engineering experience.
- Experience with Google Cloud Platform (GCP) and cloud-based AI/ML deployments.
- Proficiency in Python programming and developing production-grade applications.
- Hands-on experience with NLP, Generative AI, LLMs, and transformer-based models.
- Strong knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval.
- Experience building Agentic AI applications, AI-powered workflows, and LLM-based automation.
- Knowledge of MLOps/LLMOps practices, including model lifecycle management, evaluation, deployment, and monitoring.
- Experience designing APIs, microservices, and scalable distributed applications.
- Understanding of enterprise architecture, cloud security, IAM, and system integration.
- Excellent problem-solving, communication.
Position: AI Engineer
Location: Charlotte, NC | Saint Louis MO - Hybrid
Job Description:
- Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 10+ years of experience.
- Strong experience in AI/ML engineering experience.
- Experience with Google Cloud Platform (GCP) and cloud-based AI/ML deployments.
- Proficiency in Python programming and developing production-grade applications.
- Hands-on experience with NLP, Generative AI, LLMs, and transformer-based models.
- Strong knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval.
- Experience building Agentic AI applications, AI-powered workflows, and LLM-based automation.
- Knowledge of MLOps/LLMOps practices, including model lifecycle management, evaluation, deployment, and monitoring.
- Experience designing APIs, microservices, and scalable distributed applications.
- Understanding of enterprise architecture, cloud security, IAM, and system integration.
- Excellent problem-solving, communication.
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Who's Hiring
Top Industries Hiring
- Technology & Software38
- Banking & Financial Services10
- Consulting & Professional Services4
- Insurance2
- Healthcare & Medical Services2
Senior Level AI Product Manager Jobs: Frequently Asked Questions
How do I get a senior level ai product manager job?
Employers at this level look for candidates who have owned a full AI product lifecycle, not just contributed to one. Demonstrating that you have defined strategy, navigated model selection and deployment tradeoffs, and influenced engineering and business stakeholders directly will set you apart. A portfolio of shipped AI features with measurable outcomes, and evidence of mentoring junior PMs, strengthens a senior-level case considerably.
Which companies hire senior level ai product managers?
Companies hiring senior level ai product managers right now include Okta, Northwest Bank, and Stripe, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad range of employers, including large technology companies, AI-native startups scaling their product teams, and established enterprises embedding AI into core products.
Are there remote senior level ai product manager jobs?
Yes, remote and hybrid work is well represented at the senior level. About 44% of senior level ai product manager openings are remote or hybrid as of November 2026, reflecting how companies have normalized distributed product leadership for experienced hires who can operate independently across time zones and functions.
What makes a ai product manager role senior level?
A senior level ai product manager role is defined by scope and ownership rather than task execution. Senior roles require setting product direction, making architectural and prioritization tradeoffs with limited oversight, and being accountable for business outcomes. They also carry a leadership dimension: mentoring junior PMs, representing the product function in cross-org decisions, and driving alignment between engineering, data science, and business stakeholders.
Which industries hire the most senior level ai product managers?
Senior Level ai product manager roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors are investing most heavily in AI-driven product development, creating sustained demand for experienced leaders who can translate complex model capabilities into products that meet real business and user needs.