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Ai Monitoring Jobs in California (NOW HIRING)

Manager of Security

Los Angeles, CA · On-site

$130K - $150K/yr

Own the security review, deployment, and ongoing monitoring of AI tools used across the organization. Manage platforms such as Harmonic (for AI/data risk visibility and shadow AI detection) and Weave ...

... monitoring, retraining, and model lifecycle management. • Stay abreast of AI advancements -- especially in machine learning, deep learning, generative models, and large-scale distributed systems ...

Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. • AI Fundamentals & Security Awareness: Deep understanding of deep neural ...

Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. • AI Fundamentals & Security Awareness: Deep understanding of deep neural ...

Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. • AI Fundamentals & Security Awareness: Deep understanding of deep neural ...

Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. • AI Fundamentals & Security Awareness: Deep understanding of deep neural ...

Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. • AI Fundamentals & Security Awareness: Deep understanding of deep neural ...

Showing results 21-40

Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Ai Monitoring job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Manager of Security

Centerfield

Los Angeles, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Hi, We're Centerfield!
Supercharged customer acquisition. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world's leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands. Centerfield's digital experiences and digital brands, such as Business.com and BroadbandNow.com, reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.
The Opportunity...
The Security Manager is responsible for the day-to-day leadership, execution, and continuous improvement of the organization's cybersecurity program. This individual plays a hands-on role in protecting the enterprise's digital assets, information, and systems against an evolving threat landscape. The Security Manager reports to the SVP of IT.
As organizations become increasingly reliant on digital technology, data, and AI-driven tools, this role ensures that security operations run effectively day to day and that emerging technologies - including AI platforms and AI-powered security tooling - are deployed, monitored, and governed responsibly. The Security Manager works closely with IT, engineering, compliance, and business unit stakeholders to translate security strategy into operational reality, while also escalating significant risks and incidents to senior leadership.
The Security Manager partners regularly with IT and engineering teams, compliance and legal, external vendors, and auditors. They may support senior leadership during major security incidents or regulatory inquiries, but are not typically the primary executive spokesperson for the organization.
How You'll Contribute...
• Operational Leadership: Manage day-to-day security operations, ensuring policies and strategies set by senior leadership are implemented effectively across teams and systems.
• Risk Management: Identify, assess, and track cyber risks; recommend and implement mitigations through technology, process, and policy changes.
• Policy Implementation: Maintain and enforce information security policies, standards, and procedures; recommend updates based on operational realities.
• Security Operations: Manage security monitoring, incident response, vulnerability management, and threat intelligence functions, including coordinating with SOC/MSSP resources as applicable.
• AI Governance and Tooling: Own the security review, deployment, and ongoing monitoring of AI tools used across the organization. Manage platforms such as Harmonic (for AI/data risk visibility and shadow AI detection) and Weave (for AI-related threat and behavior monitoring), including configuration, alert tuning, and reporting on findings. Develop and maintain guidelines for safe employee use of generative AI and third-party AI tools, and evaluate new AI tools/vendors for security and data-handling risk before adoption.
• Governance, Risk, and Compliance (GRC) Support: Support compliance with relevant laws, regulations, and frameworks (e.g., GDPR, HIPAA, PCI DSS, NIST). Coordinate evidence gathering and remediation for internal and external audits.
• Team Leadership: Lead, mentor, and develop a team of security analysts/engineers; manage workload, performance, and skill development.
• Incident Response: Lead execution of incident response plans for day-to-day and moderate-severity incidents; escalate and support leadership during major incidents.
• Stakeholder Communication: Communicate security status, risks, and AI tooling findings clearly to IT leadership and relevant business stakeholders.
• Technology Management: Manage and optimize the organization's security tool stack (SIEM, EDR/endpoint protection, IAM, vulnerability scanners, and AI monitoring platforms like Harmonic and Weave), including licensing, integration, and vendor relationships.
• Vendor and Third-Party Risk: Conduct security assessments of third-party vendors, partners, and AI tool providers; track remediation of identified issues.
• Budget Support: Assist in developing and managing the security budget for tools, staffing, and training within the team's scope.
• Awareness and Training: Run organization-wide security awareness programs, including training on safe and compliant use of AI tools.
• Continuous Improvement: Stay current on cyber threats, AI-specific risks (e.g., prompt injection, data leakage via AI tools, shadow AI usage), and industry best practices; recommend program improvements.
What We're Looking For...
• Education: Bachelor's degree in Computer Science, Information Technology, Cyber Security, or a related field required.
• Professional Certifications: CISSP, CISM, Security+, GIAC, or other relevant certifications preferred.
• Experience: Minimum 5-7 years of progressive experience in cybersecurity or information security, including at least 2 years in a team lead or management capacity.
• Technical Expertise: Solid working knowledge of security technologies (firewalls, SIEM, IAM, endpoint protection), cloud security, and threat intelligence. Familiarity with AI security/monitoring tools (e.g., Harmonic, Weave, or similar platforms) strongly preferred.
• AI Risk Awareness: Understanding of risks associated with generative AI and AI tool adoption (data leakage, shadow AI, model misuse) and how to mitigate them operationally.
• Risk Management: Experience executing risk assessments and mitigation plans at the team/operational level.
• Compliance Knowledge: Working knowledge of relevant regulatory frameworks and industry standards.
• Communication Skills: Strong verbal and written communication skills; able to translate technical issues for non-technical stakeholders.
• Project Management: Ability to manage multiple initiatives and priorities in a fast-paced environment.
• Leadership: Demonstrated experience managing, mentoring, and developing a security team.
• Problem Solving: Resourceful, hands-on approach to resolving security issues.
• Adaptability: Comfortable working in a dynamic environment with evolving tools and threats.
• Ethical Judgment: Commitment to high standards of integrity, confidentiality, and professional conduct.
Key Challenges and Opportunities...
• Evolving Threat Landscape: Staying ahead of increasingly sophisticated threats requires continuous monitoring and process refinement.
• AI Adoption: Enabling secure, monitored use of AI tools across the organization while managing new categories of risk (shadow AI, data exposure, tool sprawl).
• Regulatory Complexity: Keeping day-to-day operations aligned with an evolving compliance landscape.
• Resource Constraints: Balancing operational workload with proactive risk reduction and team development.
Outcomes and Metrics of Success...
• Reduction in security incidents and mean time to detect/respond
• Successful deployment and operationalization of AI monitoring tools (Harmonic, Weave)
• Reduction in unsanctioned/shadow AI tool usage
• Compliance audit outcomes within the team's scope
• Employee engagement and completion rates in security and AI-use training
• Timely remediation of vendor and third-party risk findings
Life at Centerfield...
  • This is a hybrid position, and employees are expected to work in our Playa Vista, CA office every Tuesday, Wednesday & Thursday
  • Competitive salary + semi-annual bonus
  • Unlimited PTO - take a break when you need it!
  • Industry-leading medical, dental, and vision plans + generous parental leave
  • 401(k) company match plan - fully vested on day 1
  • Outside patio overlooking Playa Vista + cabanas, firepits & working grills
  • Monthly happy hours, catered lunches + daily food trucks
  • Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA)
  • Fully stocked kitchens with snacks & drinks
  • Breakroom supplied with games, couches, workout equipment + weekly in-office exercise classes hosted by professional instructors (yoga, kickboxing & circuit training)
  • Free onsite gym + locker rooms
  • Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.)
  • Monthly team outings (ball games, casino night, hikes, etc.)
  • Career growth - we enjoy promoting from within!
    #LI-CC1
    #LI-Remote

AI & Interview Policy
At Centerfield, we use AI tools internally to support efficiency and fairness in our hiring process, including resume screening and administrative tasks.
Candidates are welcome to use AI tools ethically to prepare for interviews, such as practicing responses or researching questions. However, all responses during the interview process should reflect your own knowledge, experience, and judgment.
The use of AI tools to generate responses during live interviews, technical assessments, or written submissions is not permitted unless explicitly stated otherwise.
To learn more, visit us Here.
Interviews will take place after resumes have been screened for the minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.
For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at https://www.centerfield.com/privacy-policy/.
Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.