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Senior Manager Artificial Intelligence Jobs (NOW HIRING)

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Senior Manager Artificial Intelligence information

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$28.5K

$97.1K

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How much do senior manager artificial intelligence jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior manager artificial intelligence in the United States is $97,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $136,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Manager Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in AITechnical data analysis and modeling

The Senior Manager Artificial Intelligence typically oversees AI projects, manages teams, and aligns AI strategies with business goals. Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require strong technical skills, the Senior Manager role emphasizes leadership and strategic planning, whereas Data Scientists are more hands-on with data analysis and modeling.

What is the highest paying job in AI?

The highest paying roles in AI typically include AI research directors, chief AI officers, and senior machine learning executives, often earning six-figure salaries or higher. These positions require extensive experience, advanced degrees, and expertise in areas like deep learning, natural language processing, and AI strategy. Compensation varies by industry, company size, and location but generally reflects the high demand for AI leadership and specialized skills.

How much do AI managers make?

AI managers, often titled as Senior Manager of Artificial Intelligence, typically earn between $120,000 and $180,000 annually, depending on experience, location, and company size. Senior roles with advanced skills in machine learning, data analysis, and leadership may offer higher compensation, often supplemented with bonuses and stock options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a senior-level position in artificial intelligence, such as a Senior Manager or Director role, that offers a high compensation package including salary, bonuses, and stock options. These roles often require extensive experience in AI, machine learning, leadership skills, and advanced technical knowledge, often working in tech companies or research organizations. Compensation at this level reflects the strategic importance and expertise required for overseeing complex AI projects and teams.

What is the 10 20 70 rule for AI?

The 10 20 70 rule in AI project management suggests that 10% of effort should be spent on planning and research, 20% on developing and testing algorithms, and 70% on deployment, monitoring, and maintenance. For senior managers in AI, understanding this balance helps allocate resources effectively and ensure ongoing model performance and compliance.

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

To thrive as a Senior Manager Artificial Intelligence, you need a strong background in computer science, AI/ML algorithms, and leadership, often supported by an advanced degree and relevant industry experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and project management tools is typically required, along with certifications in AI or data science. Outstanding communication, strategic thinking, and team leadership abilities help drive innovation and foster cross-functional collaboration. These skills and qualities are essential for successfully leading AI initiatives that align with business objectives and deliver measurable value.

How does a Senior Manager of Artificial Intelligence typically balance technical leadership with team management responsibilities?

A Senior Manager of Artificial Intelligence often divides their time between providing strategic technical guidance and overseeing the professional development of their team. They are expected to set the vision for AI projects, review technical designs, and ensure alignment with business objectives, while also mentoring team members, managing project timelines, and facilitating collaboration across departments. Balancing these responsibilities requires strong communication skills and the ability to prioritize tasks effectively. Additionally, they frequently interact with stakeholders to translate complex AI concepts into actionable business strategies.

What does a Senior Manager of Artificial Intelligence do?

A Senior Manager of Artificial Intelligence oversees the strategy, development, and deployment of AI-driven solutions within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to deliver projects that solve business problems using AI technologies. Additionally, they collaborate with other departments to identify opportunities for AI, ensure ethical AI practices, and manage project timelines and budgets. Their role is crucial in aligning AI initiatives with the company’s overall goals and ensuring the successful adoption of AI solutions.
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What states have the most Senior Manager Artificial Intelligence jobs? States with the most job openings for Senior Manager Artificial Intelligence jobs include:

Senior/Staff Technical Program Manager - Artificial Intelligence

Zoox

San Diego, CA • On-site

$172K - $262K/yr

Full-time

Medical, Life, PTO

Posted 27 days ago


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

$172,000 - $262,000 a year
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.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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. 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.