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Manager Ai Automation Jobs (NOW HIRING)

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

AI & Automation Engineer

Salt Lake City, UT · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

AI & Automation Engineer

Bozeman, MT · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

AI & Automation Engineer

Denver, CO · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

Showing results 21-40

Manager Ai Automation information

See salary details

$31K

$116.6K

$169.5K

How much do manager ai automation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager ai automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What does a manager AI automation do?

A Manager AI Automation oversees the implementation and management of artificial intelligence (AI) solutions that automate business processes. This role involves leading teams, coordinating projects, and ensuring that AI technologies are effectively integrated into existing workflows to drive efficiency and innovation. They also collaborate with stakeholders to identify automation opportunities, monitor outcomes, and ensure compliance with industry standards. Strong technical, project management, and leadership skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager AI automation, and why are they important?

To thrive as a Manager AI Automation, you need a strong background in computer science or engineering, experience with AI and machine learning, and proven leadership in managing technical teams. Familiarity with automation tools like UiPath or Blue Prism, cloud platforms such as AWS or Azure, and relevant certifications (e.g., Certified AI Practitioner) are highly valued. Exceptional problem-solving, project management, and communication skills help you effectively lead cross-functional teams and drive strategic initiatives. These competencies are vital for delivering innovative automation solutions that optimize business operations and align with organizational goals.

How does a manager AI automation typically collaborate with other departments within an organization?

A Manager of AI Automation regularly works cross-functionally, partnering with teams such as IT, operations, data science, and business units to identify automation opportunities and align project goals with organizational objectives. They facilitate communication between technical staff and non-technical stakeholders, ensuring that automation initiatives meet business needs while adhering to technical feasibility and compliance standards. Effective collaboration is key to managing expectations, driving adoption, and delivering successful AI automation solutions that create measurable value.

What is the difference between Manager Ai Automation vs Data Scientist?

AspectManager Ai AutomationData Scientist
Required CredentialsBachelor's or Master’s in Computer Science, Engineering, or related field; experience in AI/Automation projectsBachelor's or Master’s in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads teams, manages AI automation projects, collaborates with IT and business unitsAnalyzes data, develops models, interprets complex datasets, often in research or analytics teams
Industry UsageCommon in tech, manufacturing, finance, and automation-focused companiesWidely used across tech, healthcare, finance, and research sectors

The main difference is that a Manager Ai Automation oversees AI automation projects and manages teams, while a Data Scientist focuses on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly.

Is manager AI automation a high paying job?

Manager AI automation roles typically offer high salaries due to the specialized skills required, such as expertise in AI, machine learning, and automation tools. Compensation varies based on experience, industry, and location, but these positions are generally well-paid compared to many other tech roles.
More about Manager Ai Automation jobs

What cities are hiring for Manager Ai Automation jobs?

Cities with the most Manager Ai Automation job openings:

What are the most commonly searched types of Ai Automation jobs?

The most popular types of Ai Automation jobs are:

What states have the most Manager Ai Automation jobs?

States with the most job openings for Manager Ai Automation jobs include:

Infographic showing various Manager Ai Automation job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.

Director of AI Automation

Interdependence

Chicago, IL

Full-time

Re-posted 19 days ago


Job description

WHO WE ARE

The PR industry hasn't really changed in fifty years. Relationships, lunches, luck, and a clip report at the end of the month.

Interdependence is rebuilding it from the ground up. Interviewed, our proprietary platform, analyzes 300,000+ stories every day across a network of 250,000 journalists. We turn earned media into something measurable, repeatable, and worth paying for — and apply the same data and discipline across paid, social, content, and brand. Integrated marketing run by one team, on one system, accountable to one result.

Forbes named us one of America's Best PR Agencies. Our 100+ person team works with brands, CMOs, founders, and entrepreneurs across consumer, healthcare, tech, B2B, travel and entertainment.

We move fast. The best argument wins. We hire for sharp thinking, real craft, and ownership from day one. If you want comfortable, this isn't the place. If you want to win, build with us.

THE ROLE

The Director of AI Automation leads the development and implementation of AI-driven automation systems for brands led by one of Interdependence's portfolio companies. This role focuses on operationalizing AI by designing scalable workflows, implementing automation solutions, and overseeing development pods responsible for deploying AI-enabled systems that improve efficiency, productivity, and business outcomes.

The Director will translate strategic objectives into practical AI automation initiatives, ensuring systems are implemented effectively across internal developer operations and client-facing solutions. This role requires strong operational leadership, technical fluency in modern AI tools and automation frameworks, and experience managing small teams (pods) responsible for building and deploying AI-driven workflows.

Working closely with senior leadership, the Director of AI Automation will help build and scale Interdependence's AI automation brand by developing repeatable systems, guiding implementation efforts, and ensuring automation initiatives deliver measurable operational impact.

The ideal candidate is both technical and operational, someone who understands AI capabilities, has experience implementing automation systems, and can lead teams responsible for delivering AI-powered operational solutions.

KEY RESPONSIBILITIES

  • Lead the design, implementation, and scaling of AI-driven automation systems for brands
  • Translate strategic objectives into practical automation workflows that improve operational efficiency and scalability
  • Manage and oversee small development teams (pods) responsible for building, deploying, and maintaining AI-enabled automation systems
  • Identify opportunities across client operations where AI automation can reduce manual work, accelerate processes, and increase organizational leverage
  • Design and implement automation frameworks using modern AI tools, agentic systems, APIs, and workflow orchestration platforms
  • Establish best practices for AI implementation, automation governance, and operational reliability
  • Oversee the development of repeatable automation solutions that can be deployed across multiple projects or organizations
  • Stay current on emerging AI technologies, tools, and implementation strategies to continuously improve automation capabilities

QUALIFICATIONS

  • 10+ years of experience in technology, AI implementation, automation engineering, or operational systems development
  • Demonstrated experience implementing AI automation systems within operational environments
  • Experience managing technical teams or pods responsible for building automation workflows or AI-enabled systems
  • Strong understanding of modern AI tools, APIs, agent-based systems, and workflow automation platforms
  • Proven ability to translate technical capabilities into practical operational solutions
  • Strong project management and operational leadership skills
  • Excellent problem-solving and systems-thinking abilities
  • Strong written and verbal communication skills
  • Entrepreneurial mindset with the ability to operate in a fast-moving, innovation-driven environment
  • We look for team members who are "learning machines" and that each day actively seek out new knowledge

WHY YOU'LL LOVE WORKING AT INTERDEPENDENCE