Staff AI Product Manager Jobs
Staff AI Product Manager jobs are open across tech, fintech, healthtech, and enterprise software, from senior to principal and staff levels, with specializations in ML platform strategy, generative AI roadmaps, and AI/ML product operations. Find a role that fits from the openings below and apply directly.
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Our Vision: Be the best at what we do. Our Mission: Improve lives through technology.
Summary:
“Customer Inspired” isn’t our slogan — it’s our driving force, and C Spire team members live it. We aim to engage the exceptional and embrace operational excellence to best deliver connectivity and technology solutions that advance our communities and customers’ lives. It’s a challenging goal, but we have a winning team that is looking to grow.As an Artificial Intelligence Intern, you will work alongside our AI team to explore, build, test, and improve practical AI-powered solutions that solve real business problems. You will gain hands-on experience applying artificial intelligence, large language models, automation, and modern development tools in a real telecommunications and technology environment. You will work with team members and business partners to understand workflows, identify opportunities for AI, develop prototypes, and evaluate solutions based on real-world results.
This position is for a Summer Internship in 2026, located at our Corporate Office in Ridgeland, MS.
Responsibilities:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
Qualifications:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
If you want to work hard, achieve a lot, and make a difference, then C Spire is the place for you.
Staff AI Product Manager Jobs by Experience Level
Top Cities Hiring Staff AI Product Managers
Explore staff AI product manager openings in the cities hiring most right now.
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Find Staff AI Product Manager JobsStaff AI Product Manager Job Market
Who's Hiring
- JPMorganChase11

- Booz Allen Hamilton10

- Johns Hopkins University Applied Physics Laboratory9

- Amazon8

- ServiceNow6

Top Industries Hiring
- Technology & Software27
- Education12
- Banking & Financial Services11
- Insurance6
- Healthcare & Medical Services5
What Employers Look For
The qualifications that appear most often in staff AI product manager jobs.
- 5 or more years of product management experience with at least 2 years focused on AI or ML products
- Demonstrated ability to define and ship AI-powered features end to end in a production environment
- Experience working directly with machine learning engineers and data scientists on model deployment
- Proficiency with product analytics tools and familiarity with experiment design and A/B testing frameworks
- Strong understanding of ML model trade-offs including accuracy, latency, fairness, and scalability
- Bachelor's degree in computer science, engineering, or a related quantitative field, or equivalent experience
Tips for Your Staff AI Product Manager Job Search
Reframe your resume around AI product outcomes
Hiring managers for staff ai product manager roles scan for measurable AI product impact, not just feature lists. Quantify how models you shipped moved retention, accuracy, or revenue. Generic product management bullets won't differentiate you at this seniority.
Demonstrate cross-functional ML fluency on paper
Staff-level roles require visible collaboration with ML engineers and data scientists. Your resume should call out specific moments you translated model limitations into product constraints, not just that you worked with technical teams.
Filter openings by AI stack and product stage
A staff ai product manager role at a company building foundational models differs completely from one deploying third-party APIs. Target openings that match the stack you know, whether that's LLMs, recommendation systems, or computer vision, to sharpen both your application and your interview prep.
Apply early to roles that fit
Migrate Mate lists staff 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 a technical product case for interviews
Staff ai product manager interviews often include a live case where you scope an AI feature under data or latency constraints. Practice articulating trade-offs between model complexity and user experience, not just the business rationale, before your first screening call.
Negotiate scope and infrastructure ownership
At the staff level, total compensation matters, but so does the role's decision-making authority over AI infrastructure. Ask directly whether the role owns model evaluation, data pipelines, or only the product layer, before accepting any offer.
Staff AI Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most staff ai product managers?
The companies hiring the most staff ai product managers right now include JPMorganChase, Booz Allen Hamilton, and Johns Hopkins University Applied Physics Laboratory, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in companies with active ML platform investments and consumer-facing AI products.
How many staff ai product manager jobs are remote?
About 64% of staff ai product manager openings are fully remote or hybrid as of September 2026, reflecting strong employer flexibility at this seniority level. Sub-areas like LLM product strategy and AI platform tooling tend to skew most remote, while roles tied to hardware or in-person user research more often require on-site presence.
How do you become a staff ai product manager?
Most staff ai product managers build their path by first leading ML-adjacent products as a mid-level PM, then deepening technical fluency in model evaluation, data pipelines, and AI system design. Taking on cross-functional ownership of a shipped AI feature, contributing to roadmap strategy at the org level, and developing a clear point of view on responsible AI product decisions are the steps that typically distinguish staff-level candidates from senior ones.
Can you get a staff ai product manager job with limited AI experience?
It is difficult but possible if you have deep product management experience and can demonstrate applied learning in AI systems. Focus on projects where you collaborated with data science teams, even informally, and complete a hands-on course in ML product fundamentals to close the gap. Targeting companies in an earlier stage of AI adoption gives you the best opening, since they often value strong product instincts over a long AI-specific resume.
What does the staff ai product manager interview process look like?
The process typically starts with a recruiter screen, followed by a hiring manager conversation focused on your AI product experience and leadership scope. Subsequent rounds usually include a product case or design exercise involving an AI feature, a technical discussion with ML engineers on model trade-offs, and a cross-functional or executive panel. Some companies also ask for a presentation on a past AI product you owned from discovery through deployment.
Where can I find and apply to staff ai product manager jobs?
You can find and apply to staff ai product manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and apply directly to each listing from the page.
See All 348+ Staff AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Staff AI Product Manager Jobs