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

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

AI-first team where tooling and process are built around accelerating delivery * Competitive salary ... Define quality gates for pilot expansion and instrument production monitoring to catch issues early

ABB

Global Product Manager - Transformers

Irvine, CA · Remote

If remote, candidates should be located near a major metro area. This role is contributing to the ... owners, and investors for smart building technologies that optimize energy distribution and ...

Promoted2

Remote Insurance Agent

Anaheim, CA · Remote

$60K - $110K/yr

... production bonuses, renewals starting at 1.75% from day one. Key Benefits * Flexible fully remote ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Promoted2

Remote Insurance Agent

Riverside, CA · Remote

$60K - $110K/yr

... production bonuses, renewals starting at 1.75% from day one. Key Benefits * Flexible fully remote ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

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All JobsAi Product Owner JobsRemote Ai Product Owner JobsRemote Ai Product Owner Jobs in Riverside, CA

Remote Ai Product Owner information

See Riverside, CA salary details

$43.3K

$117.8K

$171.6K

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

As of Aug 16, 2026, the average yearly pay for remote ai product owner in Riverside, CA is $117,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote AI product owner?

To thrive as a Remote AI Product Owner, you need a solid understanding of product management principles, AI technologies, and experience with agile methodologies—typically supported by a background in computer science, engineering, or a related field. Familiarity with tools like JIRA, Confluence, and data visualization platforms, as well as experience managing AI/ML product lifecycles, is essential. Strong communication, leadership, and stakeholder management skills help you align cross-functional teams and drive product vision remotely. These skills ensure effective product development, stakeholder satisfaction, and successful delivery of AI solutions in a distributed work environment.

How does a remote AI product owner typically collaborate with cross-functional teams to drive product development?

As a Remote AI Product Owner, you will work closely with data scientists, engineers, UX designers, and business stakeholders to define product requirements and prioritize features. Effective communication is key, as you'll often facilitate virtual meetings, manage backlogs, and ensure that the team understands the AI product vision and goals. You'll also gather feedback from users and stakeholders, translating insights into actionable tasks. Regular collaboration and alignment across time zones are essential to keep the development on track and deliver value to end-users.

What does a remote AI product owner do?

A Remote AI Product Owner is responsible for guiding the development and strategy of AI-based products while working remotely. They bridge the gap between business stakeholders and technical teams, defining product requirements, prioritizing features, and ensuring that the AI solutions meet user needs and business goals. Their role involves understanding AI capabilities, managing product backlogs, and communicating progress to all stakeholders. They also monitor metrics to ensure the product delivers value and stays aligned with the evolving market.

What is the difference between Remote Ai Product Owner vs Remote Ai Business Analyst?

AspectRemote Ai Product OwnerRemote Ai Business Analyst
Required CredentialsProduct management certifications, AI knowledgeBusiness analysis certifications, AI understanding
Work EnvironmentCollaborates with development teams, stakeholdersAnalyzes business needs, documents requirements
Employer & Industry UsageTech companies, AI startups, product-focused firmsConsulting firms, tech companies, enterprise sectors
Common Search & ComparisonOften compared for project leadership roles in AICompared for analytical and requirements gathering roles

The Remote Ai Product Owner focuses on defining product vision, prioritizing features, and working closely with development teams to deliver AI-driven products. In contrast, the Remote Ai Business Analyst concentrates on understanding business needs, analyzing processes, and translating them into technical requirements. Both roles require AI knowledge but serve different functions within AI projects, making them distinct yet complementary in the AI development lifecycle.

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

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

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

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

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

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

Remote Ai Product Owner jobs near you

Principal Agentic AI Engineer Analog Design Automation

Celero Communications, Inc.

Irvine, CA • On-site, Remote

$200K - $300K/yr

Full-time

Posted 11 days ago

Job description

Principal Agentic AI Engineer Analog Design Automation Location: San Jose, CA or fully remote from any US location Job Summary We are seeking an experienced AI/ML Technical Leader to drive the development of next-generation AI-powered automation solutions for analog semiconductor design. This role combines deep expertise in analog custom layout, parasitic extraction, physical verification and simulation with modern Large Language Models (LLMs), agentic AI architectures, and software engineering. The ideal candidate will lead the design and implementation of intelligent AI agents that automate complex analog design and verification workflows, improve engineering productivity, and integrate seamlessly with existing EDA environments. This position requires a unique combination of semiconductor domain expertise, AI/ML knowledge, and software development experience. Key Responsibilities • Design, develop, and deploy agentic AI workflows that automate analog semiconductor design and verification processes. • Build AI agents leveraging existing Large Language Models (LLMs) to improve engineering productivity across analog development flows. • Develop reusable AI Skills, MCP (Model Context Protocol) tools, and workflow orchestration components with an emphasis on efficient token utilization, context management, and scalability. • Collaborate with analog design, layout, and physical verification teams to identify automation opportunities and deliver production-ready AI solutions. • Develop robust software using Python and modern DevOps practices, including CI/CD pipelines, workflow automation, and version-controlled development. • Integrate AI solutions with EDA environments using Tcl, Python, Rust and other scripting languages. • Optimize AI workflows for performance, reliability, security, and cost efficiency. • Lead architecture discussions and mentor engineers on AI-driven semiconductor automation technologies. • Stay current with advances in Generative AI, LLMs, Agentic AI, and semiconductor design automation. Required Qualifications • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline. • 8+ years of experience in analog semiconductor development workflow automation. • 8+ years of experience in physical verification, including signoff verification methodologies. • 8+ years of experience developing high-speed analog custom layouts. • Proven experience designing and implementing agentic AI workflows using existing Large Language Models (LLMs). • Experience developing AI Skills, MCP tools, and agent orchestration frameworks with efficient token utilization strategies. • Strong programming skills in Python. • Experience with DevOps methodologies, CI/CD pipelines, software engineering best practices, and version control systems. • Strong scripting experience using Tcl. • Thorough understanding of: - Analog floorplanning - Device matching and analog layout techniques - EM/IR analysis and power planning - Parasitic RC extraction and tradeoff analysis - High-speed analog design methodologies - Simulation methods Preferred Qualifications • Experience integrating AI solutions with commercial EDA tools such as Cadence, Synopsys, or Siemens EDA. • Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI knowledge management systems. • Familiarity with Model Context Protocol (MCP) architecture and AI tool development. • Experience deploying AI applications on cloud or hybrid computing platforms. • Knowledge of modern LLM frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen. • Experience building production-grade AI systems with observability, monitoring, evaluation, and governance. Technical Skills • Agentic AI • Large Language Models (LLMs) • MCP (Model Context Protocol) • Python • Tcl • Rust • DevOps and CI/CD • Workflow orchestration • Analog Custom Layout workflow • Analog Design workflow

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