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Generative Ai Product Manager Jobs in Boca Raton, FL

As the Product Adoption Manager, you will own the customer journey after the sale, from onboarding ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

As the Product Success Manager, you will own the customer journey after the sale, from onboarding ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

Identify opportunities to leverage AI (ML, NLP, generative AI) to solve user problems and create novel, delightful experiences. * Collaborate with product managers, engineers, and other stakeholders ...

... Generative AI solutions powered by Large Language Models (LLMs ... In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready ...

Showing results 21-40

Generative Ai Product Manager information

See Boca Raton, FL salary details

$48.9K

$151.3K

$186.9K

How much do generative ai product manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for generative ai product manager in Boca Raton, FL is $151,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,800.00 and $186,900.00 per year, depending on experience, location, and employer.

What does a generative AI product manager do?

A Generative AI Product Manager oversees the development and implementation of products that use generative artificial intelligence technologies, such as large language models or image generators. Their responsibilities include defining product strategy, gathering user requirements, collaborating with engineering and data science teams, and ensuring ethical use of AI. They also monitor market trends and user feedback to continuously improve the product. This role requires a blend of technical understanding, business acumen, and communication skills.

How to become a generative ai product manager?

To become a generative AI product manager, candidates typically need a background in computer science, AI, or related fields, along with experience in product management and familiarity with machine learning and deep learning concepts. Developing skills in data analysis, programming (e.g., Python), and understanding AI tools and frameworks is essential. Earning relevant certifications or completing specialized training in AI and product management can also enhance qualifications.

What are some common challenges generative AI product managers face when balancing technical feasibility with user needs?

Generative AI Product Managers often face the challenge of aligning innovative AI capabilities with practical user requirements and business objectives. It's common to encounter situations where the latest AI models can produce impressive results, but integrating them into a user-friendly product within budget and ethical guidelines requires careful prioritization and cross-team collaboration. Effective communication with engineers, data scientists, and stakeholders is crucial to ensure that development efforts focus on features that deliver real value while managing risks related to bias, reliability, and scalability. Staying updated on advancements and understanding their implications for your target users is key to overcoming these challenges.

What is the difference between Generative Ai Product Manager vs Data Scientist?

AspectGenerative Ai Product ManagerData Scientist
Required credentialsBackground in AI, product management, or related fields; often requires experience with AI toolsDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work environmentCollaborates with engineering, design, and business teams to develop AI productsAnalyzes data, builds models, and provides insights primarily through coding and statistical methods
Employer and industry usageTech companies, startups, AI-focused firms developing generative modelsResearch institutions, tech companies, finance, healthcare, using data for insights and decision-making

While both roles involve AI and data, the Generative Ai Product Manager focuses on overseeing AI product development and strategy, working cross-functionally, whereas the Data Scientist primarily analyzes data and builds models to inform business decisions.

How much do generative ai product managers make?

Generative AI product managers typically earn between $100,000 and $180,000 annually, with salaries varying based on experience, location, and company size. Senior roles or those in high-demand markets can offer higher compensation, often including bonuses and stock options. Strong skills in AI, machine learning, and product development are highly valued in this field.

What are the key skills and qualifications needed to thrive as a generative AI product manager?

To thrive as a Generative AI Product Manager, you need a solid background in product management, understanding of machine learning concepts, and experience with AI-driven product development, ideally supported by a relevant degree or certifications. Familiarity with tools such as Python, TensorFlow, PyTorch, and platforms like Azure or AWS for deploying AI models is typically expected. Strong soft skills include cross-functional communication, strategic thinking, and the ability to translate technical insights into business value. These skills and qualities are crucial for effectively leading AI product initiatives, aligning technical teams with business goals, and delivering innovative solutions in a rapidly evolving field.
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$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Role - Applied AI Engineer
Experience Required -8+ Years
Must Have Technical/Functional Skills
• Develop, deploy, and refine AI-driven solutions, integrating generative AI models•
• Ensure AI systems meet enterprise standards for reliability, explainability, observability, and regulatory compliance, proactively identifying improvements•
• Design and build end-to-end production AI systems, integrating machine learning models, LLMs, and supporting services into scalable applications•
• Collaborate with cross-functional teams to address advanced technical challenges and optimize platform performance
Roles & Responsibilities
• 5+ years of experience in software development and working with React and Javascript/Typescript•
• Experience with LangGraph, RAG, or MCP style integrations•
• Experience with generative AI and prompt engineering•
• Experience in continuous integration/continuous deployment pipelines and containerized deployments•
• Strong attention to detail and commitment to high quality solutions
Base Salary Range : $100,000 to $150,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.