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Manager Intelligent Automation Jobs in California

Veracyte

Manager Billing Automation

San Diego, CA · On-site

This team is responsible for transforming our revenue cycle by building intelligent software ... As the Manager, Billing Automation, you will provide technical leadership, people leadership, and ...

Kleinfelder Inc

Azure Automation Engineer

San Diego, CA · On-site

... intelligent automation solutions. Key Responsibilities Microsoft Intune & Endpoint Automation * Administer and optimize Microsoft Intune for endpoint management, device compliance, application ...

New

Kofax

$156K - $201K/yr

We combine Generative AI, Knowledge Management, Intelligent Document Processing, Process ... process automation space. While the describes what is anticipated as the requirements of the ...

Acara Solutions

AI & Automation Director

Anaheim, CA · On-site +1

$280K/yr

This role will drive the adoption of AI and intelligent automation across the organization by ... Develop and manage the enterprise AI roadmap, overseeing initiatives from pilot through enterprise ...

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Showing results 21-40

All JobsIntelligent Automation JobsManager Intelligent Automation JobsManager Intelligent Automation Jobs in California

Manager Intelligent Automation information

See California salary details

$30.6K

$115.1K

$167.3K

How much do manager intelligent automation jobs pay per year?

As of Jul 29, 2026, the average yearly pay for manager intelligent automation in California is $115,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,200.00 per year, depending on experience, location, and employer.

Who is the CEO of Intelligent Automation Inc?

The CEO of Intelligent Automation Inc is not publicly listed, and the company is known for providing automation solutions and consulting services. Leadership information may be available on the company's official website or recent press releases.

What does an automation manager do?

An automation manager oversees the design, implementation, and maintenance of automation processes within an organization. They coordinate teams, select appropriate tools like robotic process automation (RPA) software, and ensure automation projects align with business goals. Strong project management and technical skills are essential for success in this role.

What is a Manager of Intelligent Automation?

A Manager of Intelligent Automation is a professional responsible for overseeing the implementation and management of automation technologies, such as robotic process automation (RPA) and artificial intelligence (AI), within an organization. Their role involves identifying processes that can be automated, leading automation projects, and ensuring that these solutions align with business objectives. They also collaborate with cross-functional teams to optimize workflows, improve efficiency, and reduce costs. Additionally, they may be responsible for training staff, monitoring performance, and staying updated on emerging automation trends.

Is AI automation a good career?

A career in AI automation, including roles like Manager of Intelligent Automation, is considered promising due to increasing adoption of automation technologies across industries. It typically requires skills in programming, process analysis, and familiarity with tools like RPA platforms and AI frameworks, offering opportunities for growth and high demand for qualified professionals.

Which 3 jobs will survive AI?

Manager in Intelligent Automation roles are likely to persist because they require strategic oversight, complex decision-making, and understanding of business processes that AI cannot fully replicate. Jobs involving creative problem-solving, emotional intelligence, and specialized skills such as healthcare professionals, software developers, and data analysts are also expected to remain in demand. These roles often require human judgment, adaptability, and continuous learning beyond AI capabilities.

What are the key skills and qualifications needed to thrive as a Manager Intelligent Automation, and why are they important?

To thrive as a Manager Intelligent Automation, you need expertise in process analysis, automation strategy, and project management, usually backed by a degree in computer science, engineering, or related fields. Proficiency with tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications such as RPA Developer or PMP, are typically required. Strong leadership, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovation. These skills are critical for successfully implementing automation initiatives that boost efficiency and deliver measurable business value.

How does a Manager of Intelligent Automation typically collaborate with cross-functional teams during automation projects?

A Manager of Intelligent Automation plays a pivotal role in bridging business units, IT, and operations to ensure automation solutions align with organizational goals. They frequently lead workshops with stakeholders to identify automation opportunities, translate business requirements into technical specifications for developers, and oversee project progress through regular meetings. Effective collaboration involves clear communication, managing expectations, and fostering a culture of continuous improvement, as well as providing support during change management to ensure seamless adoption of new automated processes.

What is the difference between Manager Intelligent Automation vs Business Process Manager?

AspectManager Intelligent AutomationBusiness Process Manager
Required CredentialsTypically requires certifications in automation tools, project management, and sometimes programmingOften requires business management, process improvement, or project management certifications
Work EnvironmentWorks closely with IT, automation teams, and technical stakeholdersFocuses on process optimization across departments, collaborating with business units
Industry UsageCommon in tech-driven industries, finance, and manufacturingWidely used across various industries for operational efficiency

The Manager Intelligent Automation focuses on implementing automation solutions using technical skills, while the Business Process Manager concentrates on optimizing overall business processes. Both roles aim to improve efficiency but differ in technical depth and scope.

What are the most commonly searched types of Intelligent Automation jobs in California? The most popular types of Intelligent Automation jobs in California are:
What are popular job titles related to Manager Intelligent Automation jobs in California? For Manager Intelligent Automation jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Intelligent Automation jobs in California look for? The top searched job categories for Manager Intelligent Automation jobs in California are:
What cities in California are hiring for Manager Intelligent Automation jobs? Cities in California with the most Manager Intelligent Automation job openings:
Manager Intelligent Automation jobs near you

Technical Program Manager - AI Orchestration & Intelligent Automation

Ford Motor Company

Long Beach, CA • On-site

$140K - $181K/yr

Full-time

Re-posted 3 days ago

Job description


As Technical Program Manager for the ADVEV platform, you will be a key driver in orchestrating the delivery of software products for the next-gen EV Platform. You will work closely with senior-level management, Product Managers, Engineering Managers, and development teams to translate strategic roadmaps into tangible product features.
This is a "Builder-TPM" role that demands an AI-native approach, blending strategic product thinking, a software engineering mindset, and prompt engineering. You will not only manage delivery but will actively build prototypes and contribute to technical automation, leveraging agentic workflows and AI tools to optimize business capabilities and innovation within the ADVEV space at FORD.
Responsibilities
• Partner with Product and Engineering leadership to shape and operationalize the portfolio roadmap into AI-augmented delivery outcomes.
• Build and iterate on prototypes to validate roadmap objectives and translate them into structured execution plans: milestones, release slices, sequencing, and readiness gates.
• Drive iteration and release planning sessions through a product lens, ensuring scope, dependencies, and capacity are aligned and explicit.
• Facilitate targeted ceremonies and working sessions to drive decisions, unblock delivery, and maintain operational efficiency.
• Contribute to technical discussions as an execution integrator, connecting product, engineering, operations, security/compliance, procurement, and vendor stakeholders.
• Define and drive key execution metrics and dashboards (delivery health, readiness, quality, operational adoption), enabling proactive issue detection and resolution.
• Treat recurring program operations as engineering problems: prototype and build AI agents to automate reporting, status visibility, dependency tracking, and routine documentation.
• Lead and support the development of internal AI automation to accelerate the creation of PRDs, runbooks, executive summaries, and decision logs from raw inputs-improving consistency and reducing manual effort.
• Coordinate operational execution for vendor and licensing workflows as needed (renewals, seat tracking, approvals, procurement checkpoints).
• Ensure vendor-related dependencies (security, access, onboarding requirements) are planned early and do not become release blockers.
Qualifications
Minimum Qualifications
• Bachelor's degree in engineering, Computer Science, Information Technology, or related field.
• 5+ years of experience in Technical Program Management, Product Operations, or Software Engineering.
• AI-Native Skillset: Proficiency in prompt engineering and a track record of building agentic automation and chatbots to accelerate execution.
• The "Builder" Experience: Demonstrated experience building prototypes, contributing to codebases, or developing internal tools to solve complex problems.
• Product & Engineering Lens: Proven ability to bridge the gap between customer-centric product strategy and technical engineering execution.
• Demonstrated proficiency with Jira and Confluence (or equivalent tools) to run execution systems at scale.
Preferred Qualifications
• Technical Contribution: Experience using VS Code Copilot, Claude Code, or other AI-assisted tooling to write automation scripts, lightweight fixes, or build POCs instead of writing PRDs
• Experience with GCP, Mongo, and SQL to build dashboards, metrics, and operational reporting systems that drive proactive execution.
• Agile/Scrum leadership experience in automotive or highly integrated platform environments.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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