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Ai Operations Jobs in California (NOW HIRING)

Reporting directly to the SVP of Revenue Operations, this people-leadership position will be the driving force to leverage AI, automation, and process re-engineering to eliminate bottlenecks to GTM ...

Cloud Operations Analyst

San Francisco, CA ยท Remote

$116K - $137K/yr

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

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Showing results 21-40

Ai Operations information

How does an AI Operations professional typically collaborate with data scientists and IT teams?

AI Operations professionals often act as a bridge between data science teams, who develop machine learning models, and IT teams, who manage infrastructure. They work closely to ensure models are deployed smoothly, monitored for performance, and integrated into production environments. Regular communication and troubleshooting are essential, as AI Ops professionals must understand both the technical requirements of the models and the operational constraints of the systems. This collaborative approach helps maintain reliability and scalability of AI solutions in a business setting.

What do AI operations do?

AI operations involve managing and maintaining AI systems to ensure their reliable performance, including tasks like deploying models, monitoring system health, troubleshooting issues, and optimizing workflows. Professionals in this field often use tools such as cloud platforms and automation scripts to support AI infrastructure and may require knowledge of machine learning, data management, and scripting languages.

What is AI Operations?

AI Operations, often referred to as AIOps, is the use of artificial intelligence and machine learning technologies to automate and enhance IT operations. It involves analyzing large volumes of data generated by IT systems to detect issues, predict outages, and automate responses. AIOps helps organizations improve efficiency, reduce downtime, and quickly resolve problems by providing actionable insights and automating repetitive tasks. This approach is increasingly important as IT environments become more complex and data-driven.

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

To thrive in AI Operations, you need a strong background in computer science, data analytics, and machine learning, often supported by a degree in a related field. Familiarity with tools like Python, TensorFlow, cloud platforms (e.g., AWS, Azure), and experience with AI/ML monitoring systems is essential. Critical thinking, problem-solving, and effective communication are key soft skills for managing incidents and collaborating with cross-functional teams. These skills ensure the smooth deployment, monitoring, and optimization of AI systems, which are vital for operational reliability and business success.

What is the difference between Ai Operations vs Data Scientist?

AspectAi OperationsData Scientist
Required CredentialsCertifications in AI/ML, programming skillsStatistics, data analysis, programming
Work EnvironmentOperational teams, AI deployment, maintenanceResearch, data analysis, modeling
Industry UsageAI system management, deployment, monitoringData analysis, predictive modeling, research

Ai Operations focuses on managing and maintaining AI systems in production, ensuring their performance and reliability. Data Scientists primarily analyze data, develop models, and generate insights. While both roles require technical skills and programming knowledge, Ai Operations emphasizes deployment and operational stability, whereas Data Scientists focus on data analysis and model development.

What are the most commonly searched types of Ai Operations jobs in California? The most popular types of Ai Operations jobs in California are:
What job categories do people searching Ai Operations jobs in California look for? The top searched job categories for Ai Operations jobs in California are:
What cities in California are hiring for Ai Operations jobs? Cities in California with the most Ai Operations job openings:
Infographic showing various Ai Operations job openings in California as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, 3% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Founder's Office - AI Operations Builder

CuraPatient Inc

Irvine, CA โ€ข On-site

$68K - $82K/yr

Full-time

Re-posted 16 days ago


Job description

Location: Irvine / Orange County Preferred
Company: CuraPatient / CuraClaims
Type: Full-Time
We are looking for an exceptional operator with taste, ambition, and a builder mentality.
This is not a traditional office admin role.
We want someone who naturally creates order from chaos, notices details others miss, uses AI instinctively, and can turn rough ideas into polished execution. Someone ambitious enough to grow into operational leadership as the company scales.
The future of work is not large teams doing repetitive tasks.
The future is small groups of highly capable people leading armies of AI agents and automation systems to solve major problems.
That is how we operate.
We are building AI infrastructure for healthcare payment operations and revenue integrity at national scale - spanning VA healthcare, payer integrity, rural health, and enterprise operations. The right person will sit close to leadership, help shape the company's operational systems, and eventually have the opportunity to own major initiatives or business lanes.
What We're Looking For
We care deeply about:
  • Taste and judgment
  • Initiative
  • Curiosity
  • Ownership
  • Communication
  • Execution speed
  • Can-do attitude
  • Calmness under pressure
  • Attention to detail
  • Ambition

We are looking for someone who:
  • Figures things out without waiting to be told
  • Uses AI tools naturally and aggressively
  • Can take incomplete direction and create polished output
  • Notices operational friction and fixes it
  • Has strong design and communication instincts
  • Wants to build, not just coordinate
  • Is willing to do hard things
  • Understands that no task is too small or too big
  • Wants to grow into leadership over time

We want raw talent and strong instincts that can be refined - not someone who needs to be taught professionalism, urgency, ownership, or standards from scratch.
Responsibilities
  • Run and improve day-to-day company operations
  • Build AI-powered workflows and automations
  • Use tools like ChatGPT, Claude, Cursor, Notion, Airtable, Zapier, etc.
  • Create polished presentations, documents, dashboards, and operational systems
  • Coordinate projects and drive follow-through across teams
  • Support leadership with execution-heavy operational work
  • Help identify bottlenecks and implement scalable solutions
  • Build internal processes that increase leverage across the company
  • Assist with recruiting, onboarding, events, office operations, and strategic initiatives
  • Operate with high responsiveness and ownership in a fast-moving startup environment

Ideal Background
You may come from:
  • Startup operations
  • Founder's office
  • Executive assistant / operations hybrid roles
  • Agency or hospitality environments with high standards
  • No-code / AI builder communities
  • Product operations
  • Special projects roles
  • Or no traditional path at all - but with exceptional ability and hunger

Growth Opportunity
This role is designed for someone ambitious.
The right person may eventually grow into ownership of:
  • Rural health operations
  • Payer integrity initiatives
  • Enterprise partnerships
  • Strategic operations
  • Product operations
  • Client expansion lanes
  • New business initiatives

We are looking for future operators and leaders.
What Success Looks Like
  • Problems get solved before they escalate
  • Operations become cleaner, faster, and more scalable
  • AI and automation eliminate repetitive work
  • Leadership gains leverage instead of overhead
  • Teams execute faster with less friction
  • High standards become embedded across the organization
  • Major initiatives move from idea โ†’ execution quickly

Final Thought
This role is for someone who wants proximity to meaningful work, high expectations, and significant opportunity.
If you are looking for a slow-moving corporate environment with rigid boundaries, this is probably not the right fit.
If you want to help build something ambitious, solve hard problems, and grow rapidly alongside a company operating at national scale - we would love to meet you.