Director Generative Ai Product Management information
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$233.9K is the 25th percentile. Wages below this are outliers.
$233K - $245K
81% of jobs
How much do director generative ai product management jobs pay per year?
As of Aug 20, 2026, the average yearly pay for director generative ai product management in the United States is $230,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $233,000.00 and $244,000.00 per year, depending on experience, location, and employer.
A Director of Generative AI Product Management leads the strategy, development, and execution of products that leverage generative AI technologies. This role involves working closely with engineering, data science, marketing, and executive teams to define product vision, prioritize initiatives, and ensure successful delivery of AI-driven solutions. They are responsible for understanding market trends, customer needs, and AI advancements to guide product roadmaps and drive business growth. Additionally, they may manage a team of product managers and collaborate with external partners to enhance product offerings.
To thrive as a Director of Generative AI Product Management, you need deep expertise in AI/ML technologies, product lifecycle management, and a background in computer science or a related field. Familiarity with AI platforms (like TensorFlow or PyTorch), product management tools (such as JIRA or Aha!), and often certifications in product management or AI/ML are commonly required. Exceptional leadership, strategic thinking, and communication skills help you align cross-functional teams and drive product vision. These skills are crucial to successfully developing innovative AI products that meet market needs and deliver business value.
A Director of Generative AI Product Management often encounters challenges such as aligning cutting-edge AI capabilities with clear customer needs, ensuring ethical and responsible AI deployment, and navigating rapidly evolving regulatory landscapes. Additionally, collaborating closely with cross-functional teams—like engineering, data science, legal, and marketing—is essential to balance innovation with scalability and compliance. Effective communication and strategic vision are key to overcoming these obstacles and successfully delivering impactful generative AI products.
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