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Part Time Ai Product Manager Jobs (NOW HIRING)

Senior AI Product Manager

Manhattan, NY ยท On-site +1

$139K - $184K/yr

This role is where AI strategy becomes reality. You will own the product vision and delivery ... part time positions from day one, including vision, dental and domestic partners. OUR PURPOSE ...

New

Senior AI Product Manager

Manhattan, NY ยท On-site +1

$139K - $184K/yr

This role is where AI strategy becomes reality. You will own the product vision and delivery ... part time positions from day one, including vision, dental and domestic partners. OUR PURPOSE ...

New

AI Fellow

New York, NY ยท On-site

$53K - $72K/yr

We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is ... Product Development Experience: full product development and bringing cutting edge AI products ...

$53K - $72K/yr

We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is ... Product Development Experience: full product development and bringing cutting edge AI products ...

Own the roadmap for Engagement - spanning the app home page, AI experiences, messaging, and ... part-time employees, temporary employees, or interns. We are proud to be an equal-opportunity ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... You'll sit at the intersection of CRM, data intelligence, and AI-building products that help ...

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Part Time Ai Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do part time ai product manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for part time ai product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What does a part time AI product manager do?

A part-time AI Product Manager oversees the development and management of artificial intelligence products on a reduced or flexible schedule. They work closely with engineering, data science, and design teams to define product requirements, prioritize features, and ensure successful product launches. Their role often includes market research, stakeholder communication, and aligning AI initiatives with business goals. Part-time AI Product Managers may work for startups, tech companies, or as consultants, allowing for work-life balance or multiple professional commitments.

How does a part time AI product manager typically collaborate with cross-functional teams to ensure project success?

As a part-time AI Product Manager, collaboration with cross-functional teams is often achieved through structured meetings, clear communication channels, and well-defined project documentation. You will coordinate closely with data scientists, engineers, designers, and marketing teams to align project goals and timelines, even if your hours are limited. Leveraging digital collaboration tools and establishing regular check-ins helps ensure that progress stays on track and any issues are addressed promptly. This role often requires strong prioritization skills to balance responsibilities and communicate effectively across departments.

What are the key skills and qualifications needed to thrive as a part time AI product manager, and why are they important?

To thrive as a Part Time AI Product Manager, you need a solid understanding of product management principles, AI concepts, and experience in overseeing technology-driven projects, often supported by a degree in computer science, engineering, or business. Familiarity with tools like Jira, product analytics platforms, and version control systems, as well as knowledge of machine learning frameworks, is typically required. Effective communication, prioritization, and stakeholder management are crucial soft skills for this role. These abilities ensure successful coordination of AI product development, alignment with business goals, and timely delivery of impactful solutions.

What is the difference between Part Time Ai Product Manager vs Ai Business Analyst?

AspectPart Time Ai Product ManagerAi Business Analyst
Required CredentialsBachelor's degree in tech, business, or related field; experience in product management; familiarity with AI toolsBachelor's degree in business, analytics, or related field; knowledge of AI concepts; analytical skills
Work EnvironmentCollaborates with cross-functional teams; manages AI product lifecycle; flexible/remote optionsAnalyzes AI data; gathers requirements; works with stakeholders; often in office or remote
Employer & Industry UsageTech companies, startups, AI-focused firmsConsulting firms, data analytics companies, tech organizations

The Part Time Ai Product Manager focuses on overseeing AI product development and strategy, requiring project management skills and AI familiarity. In contrast, the Ai Business Analyst primarily analyzes AI data and requirements to support decision-making. Both roles often work in tech environments but differ in responsibilities and focus areas.

More about Part Time Ai Product Manager jobs
What cities are hiring for Part Time Ai Product Manager jobs? Cities with the most Part Time Ai Product Manager job openings:
What states have the most Part Time Ai Product Manager jobs? States with the most job openings for Part Time Ai Product Manager jobs include:
What job categories do people searching Part Time Ai Product Manager jobs look for? The top searched job categories for Part Time Ai Product Manager jobs are:
Infographic showing various Part Time Ai Product Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Senior AI Product Manager

340B Health

Manhattan, NY โ€ข On-site, Remote

$139K - $184K/yr

Full-time, Part-time

Medical, Dental, Vision

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary Why Geisinger: Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role is where AI strategy becomes reality. You will own the product vision and delivery roadmap for a portfolio of clinical and operational AI initiatives, working across one of the most integrated health systems in the country to build solutions that change how care is delivered and how the organization runs. Position Summary: This is a role for someone who wants to lead AI product work that actually matters. You will define and drive the roadmap for AI initiatives across clinical, operational, health plan, and pharmacy domains, taking ideas from discovery through validation, deployment, and scale. You will work closely with data scientists, engineers, clinicians, and operational leaders to build AI solutions that are clinically sound, operationally viable, and genuinely adopted. This is not a role for someone who wants to manage a backlog. It is a role for someone who wants to own outcomes. Job Duties Key Responsibilities: Define and drive the product vision and roadmap for a portfolio of AI initiatives, balancing clinical impact, operational feasibility, and strategic priority Lead AI products through the full lifecycle from problem definition and discovery through build, validation in clinical settings, deployment, and ongoing iteration Work directly with clinicians, operational leaders, data scientists, and engineers to translate real world problems into well scoped, buildable AI solutions Establish clear success criteria and measurement frameworks for each initiative, tracking performance in production and using data to drive continuous improvement Coordinate across product, platform, governance, and clinical teams to keep initiatives moving and ensure the right people are engaged at the right stages Evaluate build, buy, and partner options for new capabilities, bringing a rigorous and evidence first perspective to make versus procure decisions Ensure AI products meet clinical validation requirements and are ready for frontline use, working with clinical informatics, compliance, and legal stakeholders as needed Monitor the competitive and market landscape to identify emerging capabilities and inform how the product roadmap evolves over time Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. Position Details Required Qualifications: 5 or more years of product management experience in healthcare, digital health, or a related field Demonstrated ability to lead AI or data driven products through full lifecycle delivery in a complex, multi stakeholder environment Experience working directly with data scientists and engineers, with enough technical fluency to ask hard questions and make informed tradeoffs Strong communication and stakeholder engagement skills, with the ability to build alignment across clinical, operational, and technical audiences Deep familiarity with healthcare operations, clinical workflows, revenue cycle, or health plan functions Experience defining and tracking product KPIs and using production data to drive iteration and improvement Bachelor degree required; advanced degree in health informatics, business, or a related field preferred Preferred Qualifications: Experience with Epic and its AI ecosystem including NoteReader, Cosmos, and the Showroom marketplace Familiarity with clinical AI applications across ambient documentation, clinical decision support, revenue cycle, or prior authorization Experience working within agile delivery teams in a healthcare or regulated industry environment Exposure to AI governance, responsible AI principles, or clinical validation methodologies Education Bachelor's Degree-Related Field of Study (Required), Master's Degree-Related Field of Study (Preferred) Experience Minimum of 5 years-Related work experience (Required) Certification(s) and License(s) We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran. We are an affirmative action, equal opportunity employer women and minorities are Encouraged to Apply. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status. #J-18808-Ljbffr