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$29K

$135.8K

$199.5K

How much do manager artificial intelligence jobs pay per year?

As of Jul 7, 2026, the average yearly pay for manager artificial intelligence in the United States is $135,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $176,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager of Artificial Intelligence, and why are they important?

To thrive as a Manager of Artificial Intelligence, you need a strong background in computer science, machine learning, and data analytics, often supported by advanced degrees and experience in AI project leadership. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and certifications like AWS Certified Machine Learning are typically valued. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning projects with business goals. These skills ensure successful development and deployment of AI solutions that drive organizational value and innovation.

How much do AI managers make?

AI managers typically earn between $120,000 and $180,000 annually, with salaries varying based on experience, location, and company size. Senior AI managers or those in high-demand industries can earn over $200,000, especially with advanced skills in machine learning and leadership.

How does a Manager of Artificial Intelligence typically collaborate with cross-functional teams within an organization?

A Manager of Artificial Intelligence frequently works alongside data scientists, engineers, product managers, and business stakeholders to align AI initiatives with organizational goals. They facilitate communication between technical and non-technical teams, ensuring that project requirements are clearly understood and that AI solutions support broader business strategies. This collaborative environment often involves regular meetings, progress updates, and joint problem-solving sessions to address challenges and optimize outcomes.

What does an AI manager do?

An AI manager oversees the development and implementation of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, ensure the use of appropriate tools and algorithms, and align AI initiatives with business objectives.

What does a Manager of Artificial Intelligence do?

A Manager of Artificial Intelligence oversees teams and projects that develop and implement AI solutions within an organization. Their responsibilities include setting strategic goals for AI initiatives, managing budgets and timelines, coordinating with other departments, and ensuring that AI systems are aligned with business objectives. They also stay updated on the latest advancements in AI technologies and ensure ethical standards and compliance are maintained. This role requires both technical knowledge of AI and strong leadership skills to guide multidisciplinary teams.

What is the difference between Manager Artificial Intelligence vs Data Scientist?

AspectManager Artificial IntelligenceData Scientist
CredentialsMaster's or PhD in AI, Computer Science, or related fieldsMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Industry UsageUsed in organizations deploying AI solutions, tech companies, R&DUsed across industries for data analysis, predictive modeling

The main difference is that a Manager Artificial Intelligence oversees AI projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and builds models. Managers handle leadership and project management, whereas Data Scientists focus on technical analysis and model development.

Which AI job is high paying?

Senior roles such as AI Director, Machine Learning Engineer, and AI Architect tend to be the highest paying jobs in artificial intelligence, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions typically offer higher salaries due to their expertise level and strategic impact within organizations.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a Chief AI Officer or senior AI executive, often involving strategic leadership, advanced technical expertise, and significant responsibility within an organization. These roles usually require extensive experience, advanced degrees, and skills in machine learning, data science, and AI tools, and they often come with substantial compensation packages reflecting their seniority and impact.
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Manager Artificial Intelligence jobs near you
Infographic showing various Manager Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,829 per year, or $65.3 per hour.

Senior/Staff Technical Program Manager - Artificial Intelligence

Zoox

Foster City, CA • On-site

Full-time

Posted 18 days ago

Be an early applicant

Job description

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.
In this role, you will:
  • Partner with engineering managers in the respective Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables
  • Drive cross-functional teams across Autonomy teams to build and execute on solutions for improving our driving behavior
  • Collaborate with engineering to figure out how best to develop the underlying measurements and datasets for Driving Behavior KPIs 
  • Highlight potential risks and proactively build out risk-mitigating actions
  • Build and deliver executive presentations on program status, issues/risks, and accomplishments
Qualifications
  • BS/MS degree in computer science, engineering or equivalent job experience
  • At least 6 years of experience in engineering program management
  • Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes
  • Strong track record of managing complex cross-functional projects and problem solving
  • An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience
  • Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, Smartsheet, JIRA, etc.)
  • Excellent written, presentation, and verbal communication skills are a must, ability to create visualizations of KPIs and program risks
Bonus Qualifications
  • Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations
  • Strong references that highlight your ability to build strong working relationships with senior leaders, program managers, and engineers across functions and departments
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.