1

Ai Ml Project Manager Jobs in Riverside, CA (NOW HIRING)

... management, interaction protocols, knowledge integration, and action execution frameworks. โ€ข ... agent projects. โ€ข Collaborate with the Agentic AI Lead and other stakeholders to align ...

Project Manager

Irvine, CA ยท On-site

$130K - $200K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Project Manager

Irvine, CA ยท On-site

$130K - $200K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Actively participate in team ceremonies, provide status updates, and support overall project ... Strong knowledge of the full lifecycle of Gen AI/ML applications, data engineering pipelinesdesign ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date The salary ...

Showing results 41-60

Ai Ml Project Manager information

See Riverside, CA salary details

$40.2K

$107.1K

$169K

How much do ai ml project manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai ml project manager in Riverside, CA is $107,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $128,300.00 per year, depending on experience, location, and employer.

What is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.
What are popular job titles related to Ai Ml Project Manager jobs in Riverside, CA? For Ai Ml Project Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Ml Project Manager jobs in Riverside, CA look for? The top searched job categories for Ai Ml Project Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Ml Project Manager jobs? Cities near Riverside, CA with the most Ai Ml Project Manager job openings:
Infographic showing various Ai Ml Project Manager job openings in Riverside, CA as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $107,125 per year, or $51.5 per hour.

AI Technical Product Manager

Source Code Technologies LLC

Irvine, CA โ€ข On-site

$179K - $207K/yr

Other

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Experience Required: 12+ years

Key Responsibilities: 

Define and own the product vision and roadmap for Dynatrace Intelligence, including Davis AI, Grail, and AI-powered analytics.

Drive use cases for anomaly detection, root cause analysis, event correlation, predictive capacity, and auto-remediation. 

Hands-on experience configuring and tuning Davis AI, DQL queries, Grail data models, and Gen3 dashboards.

Validate AI outputs, reduce noise, and improve precision of alerts and problem cards.  

Define KPIs tied to availability, MTTR reduction, alert quality, cost optimization, and operational automation. Ensure observability intelligence supports SLOs, error budgets, and operational readiness.

Partner with SRE and operations teams to operationalize AI-driven insights into runbooks and automation. 

Act as the primary product interface for observability intelligence with internal stakeholders and strategic clients. Communicate roadmap, value, and outcomes to executive, technical, and client audiences.

Incorporate client feedback into prioritization while balancing platform standards and scalability. 

Drive enablement across product, support, and engineering teams on AI-driven observability concepts and tooling. Establish governance for AI models, alerting standards, and observability data usage.

Required Qualifications: 

Bachelor of Science or Engineering (or equivalent experience) with 8+ years of experience in platform engineering, observability, reliability, or technical product management roles.

5+ years of hands-on experience with Dynatrace SaaS, including Davis AI, DQL, Grail, and log analytics.

Strong understanding of AI/ML concepts as applied to AIOps, including anomaly detection, causality, signal-to-noise optimization, and predictive analytics.