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Manager Applied Intelligence Jobs (NOW HIRING)

Mercor

Engineering Manager, Applied AI

New York, NY · On-site

$250K - $400K/yr

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner ... About the Role We're hiring Engineering Managers to lead teams within our Applied AI organization.

Viant Technology

Senior Manager, Applied Science

Irvine, CA · On-site

$180K - $220K/yr

We are seeking an experienced and visionary Senior Manager, Applied Science to lead the development ... Viant uniquely combines proprietary content intelligence, household-level identity resolution, and ...

PLUS

Senior Applied Strategist (Level II)

Manhattan, NY · On-site

$135K - $170K/yr

You will oversee a dedicated team-including an Applied Strategist and an Applied Intelligence Manager-while partnering cross-functionally with our PR, Creative, and Experiential departments. Key ...

PLUS

Senior Applied Strategist (Level II)

Los Angeles, CA · On-site

$135K - $170K/yr

You will oversee a dedicated team-including an Applied Strategist and an Applied Intelligence Manager-while partnering cross-functionally with our PR, Creative, and Experiential departments. Key ...

PLUS

Senior Applied Strategist (Level II)

Cincinnati, OH · On-site

$135K - $170K/yr

You will oversee a dedicated team-including an Applied Strategist and an Applied Intelligence Manager-while partnering cross-functionally with our PR, Creative, and Experiential departments. Key ...

Uber

Senior Product Manager, Applied AI

Sunnyvale, CA · On-site +1

Artificial Intelligence is at the heart of Uber's products: Machine Learning, Deep Learning ... Applied Scientists, Researchers, Backend Engineers, Mobile Engineers and AI Product Managers ...

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All JobsManager Applied Intelligence Jobs

Manager Applied Intelligence information

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$11K

$100.6K

$133K

How much do manager applied intelligence jobs pay per year?

As of Jun 27, 2026, the average yearly pay for manager applied intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

In the US, high-paying roles such as Chief Executive Officers, investment bankers, specialized surgeons, and certain senior technology executives can earn $500,000 or more annually. These positions often require extensive experience, advanced degrees, and leadership responsibilities, with compensation frequently including bonuses, stock options, or profit sharing.

Which 3 jobs will survive AI?

For a Manager Applied Intelligence, roles that involve strategic decision-making, complex problem-solving, and human interaction are more likely to persist despite AI advancements. Jobs requiring emotional intelligence, creativity, and nuanced judgment—such as strategic managers, data analysts, and AI ethics specialists—are expected to remain essential as AI tools augment these functions. Continuous learning and expertise in AI tools can also help managers stay relevant in evolving technological environments.

What is the difference between Manager Applied Intelligence vs Data Analyst?

AspectManager Applied IntelligenceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; often leadership experienceBachelor's degree in statistics, mathematics, or related fields; certifications like SQL or Excel
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, consulting firms for strategic insightsCommon across industries for data-driven roles
Comparison FocusLeadership, strategy, project managementData analysis, reporting, technical skills

The Manager Applied Intelligence typically oversees data projects and leads teams, focusing on strategic implementation. In contrast, Data Analysts primarily analyze data and generate reports to support business decisions. While both roles require strong analytical skills, the manager role emphasizes leadership and project management, whereas the analyst role is more technical and detail-oriented.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI executive or specialized researcher, often requiring advanced skills in machine learning, data analysis, and leadership. These roles may involve overseeing AI strategy, developing complex models, and managing large teams or projects, and they usually offer compensation at the top end of the industry scale.

What jobs pay $10,000 a month without a degree?

Manager Applied Intelligence roles typically require specialized skills in data analysis, AI tools, and strategic planning, and may offer salaries around or above $10,000 monthly for experienced professionals. However, most high-paying jobs without a degree often involve entrepreneurship, sales, real estate, or skilled trades, where income depends on performance and experience. Building expertise through certifications and practical experience can help achieve such income levels without formal degrees.
More about Manager Applied Intelligence jobs
What cities are hiring for Manager Applied Intelligence jobs? Cities with the most Manager Applied Intelligence job openings:
What are the most commonly searched types of Applied Intelligence jobs? The most popular types of Applied Intelligence jobs are:
What states have the most Manager Applied Intelligence jobs? States with the most job openings for Manager Applied Intelligence jobs include:
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Manager Applied Intelligence jobs near you
Infographic showing various Manager Applied Intelligence job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.

Product Owner, Applied Intelligence

Avalon Administrative Services LLC

Tampa, FL • Remote

Full-time

Posted 3 days ago

Job description

About Avalon Healthcare Solutions:

Avalon Healthcare Solutions is the nation’s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Our proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments. Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Our flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics support—driving measurable value, reduced waste, and improved clinical outcomes. With unmatched scientific rigor, deep clinical expertise, and a performance-based model, Avalon is redefining how diagnostics power personalized care and healthcare value. You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve.

For more information about Avalon, please visit https://www.avalonhcs.com.

Avalon Healthcare Solutions is an Equal Opportunity Employer - Vet/Disability.

This position description is subject to change at any time. As determined by the company based upon business needs, an employee in this position may be required to perform duties and take responsibility for work other than as described in this document.

About the Product Owner, Applied Intelligence position:

The Product Owner, Applied Intelligence is responsible for translating business needs into scalable, data-driven and AI-enabled product capabilities. This role sits at the intersection of product, data science, and engineering - owning the delivery of intelligent features, models, and automation that enhance decision-making, operational efficiency, and customer value.

This individual will actively engage business stakeholders across the organization to surface opportunities, shape priorities, and build shared understanding of AI/ML capabilities — while partnering with data scientists and engineers to bring use cases from concept to production in a reliable, compliant, and impactful way.

This position is eligible for remote work, but quarterly travel will be required to Avalon’s corporate office located in Tampa, Florida.

Product Owner, Applied Intelligence – Essential Functions and Responsibilities:

  • Own and manage the product backlog for Applied Intelligence initiatives, including AI/ML models, analytics products, and automation solutions.
  • Lead ongoing backlog refinement sessions with cross-functional stakeholders to ensure priorities reflect current business needs, not just engineering capacity.
  • Translate business problems into clear user stories, acceptance criteria, and prioritized work for engineering and data science teams.
  • Partner with Engineering and Data teams in agile delivery, ensuring timely and high-quality releases.
  • Continuously refine and reprioritize backlog based on business impact, performance insights, and stakeholder feedback.
  • Proactively engage business stakeholders to identify and validate high-value opportunities for AI/ML and advanced analytics.
  • Support the development of use cases such as predictive modeling, decision support, anomaly detection, and workflow automation.
  • Act as the primary liaison between business teams and technical teams.
  • Drive structured discovery and prioritization processes with stakeholders.
  • Communicate progress, risks, and outcomes to stakeholders at all levels.
  • Partner with data engineering teams to ensure availability, quality, and accessibility of data.
  • Define and track KPIs for AI-driven features and drive continuous improvement.

Product Owner, Applied Intelligence – Minimum Qualifications:

  • Bachelor’s degree
  • 4–8 years of experience in product management, product ownership, or business analysis with exposure to data, analytics, or AI/ML-driven products.
  • Experience working in agile environments with cross-functional teams.
  • Healthcare or health-tech experience required.
  • Strong ability to translate complex business problems into structured product requirements.
  • Working knowledge of AI/ML concepts and machine learning workflows.
  • Excellent communication and stakeholder management skills.
  • Analytical mindset with a focus on outcomes and measurable impact.

Product Owner, Applied Intelligence – Preferred Qualifications:

  • Experience at a private equity-backed growth stage company

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