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Remote Ai Product Manager Jobs in Riverside, CA (NOW HIRING)

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Remote Ai Product Manager information

See Riverside, CA salary details

$53.7K

$166.3K

$205.5K

How much do remote ai product manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote ai product manager in Riverside, CA is $166,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,100.00 and $205,500.00 per year, depending on experience, location, and employer.

What does a remote AI product manager do?

A Remote AI Product Manager oversees the development and deployment of artificial intelligence products from a remote location. Their main responsibilities include defining product vision, gathering and prioritizing requirements, working closely with engineering and data science teams, and ensuring the product meets user needs and business goals. They also coordinate with stakeholders, monitor product performance, and iterate based on feedback and data. Effective communication and understanding of AI technologies are crucial for success in this role.

How does a remote AI product manager typically collaborate with cross-functional teams to drive project success?

A Remote AI Product Manager frequently works with distributed teams that include engineers, data scientists, designers, and stakeholders from various departments. Effective collaboration is achieved through regular virtual meetings, clear documentation, and the use of project management tools to track progress and align goals. Communication skills are especially important in this remote setting, as is the ability to bridge technical and business perspectives. By fostering open channels of feedback and maintaining alignment on priorities, a Remote AI Product Manager ensures that projects stay on track and meet user needs.

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

To thrive as a Remote AI Product Manager, you need a solid understanding of product lifecycle management, AI/ML concepts, and experience in tech product strategy, usually backed by a relevant degree or industry certifications. Familiarity with tools like Jira, Figma, and platforms like TensorFlow or AWS, as well as agile methodologies, is often required. Exceptional communication, stakeholder management, and problem-solving abilities are crucial soft skills, especially in distributed teams. These competencies ensure the successful delivery of AI products that meet user needs while driving collaboration and innovation across remote environments.

What is the difference between Remote Ai Product Manager vs Remote Data Scientist?

AspectRemote Ai Product ManagerRemote Data Scientist
Required CredentialsBackground in AI, product management certifications, technical knowledgeDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentCross-functional teams, product development lifecycle, strategic planningData analysis, model building, statistical analysis, research
Employer & Industry UsageTech companies, startups, AI-focused organizationsResearch institutions, tech firms, analytics companies

The main difference is that Remote Ai Product Managers focus on guiding AI product development and strategy, while Remote Data Scientists analyze data to build models and extract insights. Both roles require technical skills and often collaborate closely, but their core responsibilities differ in scope and focus.

How much do remote AI product managers get paid?

Remote AI product managers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data analysis can command higher salaries, often exceeding $180,000. Compensation may also include bonuses, stock options, and benefits aligned with industry standards.

Is a remote AI product manager in demand?

Remote AI product managers are in high demand due to the rapid growth of artificial intelligence technologies across industries. Companies seek professionals with skills in AI, product development, and cross-functional collaboration to lead AI initiatives remotely. This role often requires knowledge of machine learning tools and experience managing AI-driven products.

What is the salary of a remote AI product manager?

The salary of a remote AI product manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data analysis may earn higher compensation, often supplemented with bonuses or stock options.

What are popular job titles related to Remote Ai Product Manager jobs in Riverside, CA?

For Remote Ai Product Manager jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Product Manager jobs in Riverside, CA look for?

The top searched job categories for Remote Ai Product Manager jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Ai Product Manager jobs?

Cities near Riverside, CA with the most Remote Ai Product Manager job openings:

Remote Ai Product Manager jobs near you
Infographic showing various Remote Ai Product Manager job openings in Riverside, CA as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $166,302 per year, or $80 per hour.

Product Owner / Technical Program Manager

iShare Inc

Redlands, CA • Remote

$50 - $55/hr

Full-time

Posted 12 days ago

Job description

Product Owner / Technical Program Manager
 
Position Summary
We are seeking a highly motivated Product Owner / Technical Program Manager with deep expertise in Guidewire PolicyCenter, cloud data platforms, and enterprise data modernization programs. This hybrid leadership role combines product ownership, technical program management, and data platform delivery responsibilities.
 
This role will serve as the bridge between Business, Product, Architecture, Data Engineering, QA, and Operations teams, ensuring successful execution of large-scale data programs from inception through production deployment. TPM will provide technical leadership, program governance, stakeholder management, and delivery oversight while maintaining a strong understanding of Guidewire PolicyCenter data models and insurance business processes.
Key Responsibilities
Product Ownership
  • Collaborate with business stakeholders to identify opportunities for data-driven decision-making.
  • Translate business requirements into prioritized features, user stories, and acceptance criteria.
  • Drive adoption and business value realization for data products and analytics solutions.

Program Leadership & Delivery
  • Lead end-to-end delivery of Finance Premiums related projects.
  • Act as the functional and technical liaison between Policy Admin business teams and engineering teams (Must Have)
  • Drive requirements gathering and solution design workshops (Must Have) .
  • Ensure accurate translation of policy administration data into enterprise reporting and analytics solutions (Must Have).
  • Coordinate multiple workstreams across Data Engineering, Architecture, QA, Product, Business, and Vendor teams.
  • Establish governance processes to ensure successful execution and timely delivery.
  • Manage program risks, mitigation plans, issue resolution, and escalation processes.

Agile Program Management
  • Lead Agile Planning Activities
  • Drive continuous improvement initiatives across program delivery teams.

Required Qualifications
Experience
  • 7+ years of experience delivering enterprise technology and data solutions.
  • 5+ years of Product Owner, Product Manager, Technical Program Manager, or Delivery Lead experience.
  • 3+ years working with Guidewire PolicyCenter.
  • Proven experience leading insurance data transformation programs.
  • Experience managing multiple concurrent initiatives and cross-functional teams.

Technical Skills
Guidewire: Guidewire PolicyCenter; Guidewire Data Model
Data Engineering: Snowflake; DBT (Data Build Tool) ; Apache Airflow; SQL; Python; Data Modeling
Cloud & Data Platforms: AWS (S3, Glue, Lambda) ;CI/CD Pipelines; Git/GitHub; DevOps practices
Database Technologies: Snowflake; DB2,SQL Server; Oracle

This is a remote position.