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Manager Ai Qa Jobs (NOW HIRING)

You have 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities.

You have 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities.

You have 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities.

AI Quality Engineer

Vienna, VA · On-site

$72K - $93K/yr

This is not a traditional QA role. The AI Quality Engineer will establish quality standards, validate AI solutions, develop testing frameworks, and certify AI applications before release. The role ...

You have 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities.

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How much do manager ai qa jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager ai qa in the United States is $118,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $144,500.00 per year, depending on experience, location, and employer.

How does a Manager AI QA typically collaborate with data scientists and software engineers during the development lifecycle?

A Manager AI QA works closely with both data scientists and software engineers to ensure the quality and reliability of AI models and systems. During development, they help define testing strategies, review model validation procedures, and facilitate communication across teams to address potential issues early. They often coordinate the creation of test datasets, oversee automated testing pipelines, and provide feedback to improve model robustness. This collaborative environment helps ensure that AI solutions meet both functional and ethical standards before deployment.

What does a Manager AI QA do?

A Manager AI QA (Artificial Intelligence Quality Assurance) oversees the testing and quality assurance processes for AI-based products and solutions. They lead teams responsible for identifying defects, ensuring model accuracy, and validating performance metrics. Their role includes developing QA protocols specific to AI, coordinating with data scientists and engineers, and implementing best practices to maintain high-quality AI systems. They also stay updated on emerging AI testing methodologies and tools to ensure projects meet industry standards.

What are the key skills and qualifications needed to thrive as a Manager AI QA?

To thrive as a Manager AI QA, you need a strong background in software quality assurance, AI/ML concepts, and leadership, typically supported by a degree in computer science or related fields. Familiarity with QA automation tools (like Selenium or Appium), AI testing frameworks, and experience with cloud platforms and version control systems is important. Exceptional communication, problem-solving skills, and the ability to lead cross-functional teams set standout candidates apart. These skills ensure rigorous testing of AI solutions, drive process improvements, and help teams deliver robust, reliable AI products.
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What cities are hiring for Manager Ai Qa jobs? Cities with the most Manager Ai Qa job openings:
Infographic showing various Manager Ai Qa job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

Product Manager, AI Quality

Glean

San Francisco, CA • On-site

$160K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


Job description

About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
As Glean's PM for Glean Model Hub, you will evaluate LLM models, define the roadmap for growing Glean's LLM portfolio, manage relationships with inference and model providers, and determine product strategy for allowing customers to experiment with different LLMs. You will own projections of LLM usage, cost, and capacity planning while driving customer enablement and their upgrade adoption journey for the latest LLMs and LLM-native capabilities.
You will:
  • Spending a lot of time with our customers to deeply understand their knowledge needs
  • Developing key parts of our product roadmap, marrying customers' needs with our product vision
  • Empowering your team by giving context, setting direction, and building alignment
  • Driving customer-focused decisions, clear prioritization, and efficient execution
  • Coordinating cross-functionally with with leadership, go-to-market teams, and other key stakeholders across the company
  • Building processes that will scale as our team and company go through rapid growth

About you:
  • You have 4+ years of experience in product management at SaaS companies, primarily serving large enterprises with responsibilities spanning AI/ML Ops and external-facing platform capabilities.
  • Having built or worked with LLMs for at-scale products is a major plus.
  • You have a strong technical background and experience with both UX and API driven products and 3rd party product partnerships.
  • You are an excellent written and verbal communicator.
  • You have a proven track record of taking ownership, taking initiative, and delivering results.
  • You collaborate effectively with cross-functional partners.
  • You have a learning and growth mindset.
  • You are mission-first and understand that your success is measured by your product and team's success.
  • You are an early adopter in building with or adopting AI for your own product craft and you are excited about helping customers accelerate their own AI adoption journey.

Location:
  • This role is hybrid (3-4 days a week in one of our San Francisco office)

Compensation & Benefits:
The standard base salary range for this position is $160,000 - $240,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.