1

Director Generative Ai Product Management Jobs (NOW HIRING)

As the Director, Generative AI Enablement, you will work in a fast-paced environment and be ... production (experience with Generative AI projects highly desired). 5+ years of managing teams or ...

Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts . * Experience defining product roadmaps, managing product backlogs, and writing detailed user ...

Director of Product, AI

Bellevue, WA · On-site

$261K - $273K/yr

... manage the AI product roadmap, prioritizing features and enhancements based on customer and ... generative AI. • Strong B2B Enterprise experience, and experience working with large industrial ...

Work hands-on with Generative AI, automation platforms, intelligent workflows, and emerging ... Mentor stakeholders and contribute to the development of AI product management best practices ...

AI Product Director

San Diego, CA · On-site

$120K - $200K/yr

The ideal candidate brings deep product management experience, a track record of delivering AI ... Experience with LLMs, generative AI, AI agents, workflow automation, and related technologies.

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

... Management experience with recent ownership of AI-powered software products * Demonstrated experience launching AI or Generative AI products within a B2B SaaS environment * Experience leading ...

next page

Showing results 1-20

Director Generative Ai Product Management information

See salary details

$113K

$231K

$245K

How much do director generative ai product management jobs pay per year?

As of Aug 22, 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.

What does a director of generative AI product management do?

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.

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

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.

What are the main challenges faced by a director of generative AI product management when bringing new AI products to market?

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.
More about Director Generative Ai Product Management jobs

What cities are hiring for Director Generative Ai Product Management jobs?

Cities with the most Director Generative Ai Product Management job openings:

What are the most commonly searched types of Generative Ai Product Management jobs?

The most popular types of Generative Ai Product Management jobs are:

What states have the most Director Generative Ai Product Management jobs?

States with the most job openings for Director Generative Ai Product Management jobs include:

What job categories do people searching Director Generative Ai Product Management jobs look for?

The top searched job categories for Director Generative Ai Product Management jobs are:

Infographic showing various Director Generative Ai Product Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $230,997 per year, or $111.1 per hour.

Director, Generative AI Enablement

Hearst

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Hearst rating

6.8

Company rating: 6.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

50th of 78 rated media


Job description

Hearst Technology Services is hiring aDirector, Generative AI Enablementto help our organization achieve its technology vision. In this role, you will develop and deliver AI"as-a-service"capabilities that empower our 360+ business brands on an opt-in basis. As the Director, Generative AI Enablement, you will work in a fast-paced environment and be responsible for orchestrating cross-functional teams of technical specialists and performing hands-on work to build AI solutions that drive productivity, efficiencies, and revenue growth across our businesses. You will have strong opinions and thought leadership on AI best practices and remain focused on serving the needs of our central IT department and operating companies.

Key Responsibilities:

  • AI Service Development:Build and manage a portfolio of AI services and platforms (e.g. generative AI models, automation tools) that business units can opt into, by leveraging distributed engineering and data resources across the organization. Ensure these services are easily accessible, scalable, and secure, allowing our companies to leverage AI on demand for their specific and diverse needs.

  • Cross-Functional Leadership:Lead and coordinate agile, cross-functional teams through a matrixed operating model.  Influence priorities, align stakeholders, and drive execution from concept to production. Work collaboratively with business unit stakeholders in an iterative process to ensure solutions address real-world problems and are adopted successfully.

  • Generative & Agentic AI Expertise:Provide technical direction in cutting-edge AI areas, including large language models (GPT), retrieval-augmented generation (RAG), and autonomous AI "agents." Guide the team in selecting the right approaches and tools for each project, and contribute hands-on to model development, validation, and integration when needed.

  • Partner Integration:Collaborate with external service providers and vendors to augment our capabilities and coordinate internal and external resources in a blended delivery model. Evaluate and onboard third-party AI solutions or consulting partners where appropriate, managing these relationships to complement internal efforts and accelerate delivery of AI initiatives.

  • Governance & Best Practices:Implement AI governance and best practices across projects by coordinating the establishment of standards adoption across decentralized teams.  This includes establishing guidelines for responsible and ethical AI usage (managing risks, bias, and accuracy), defining operational and support processes for AI solutions post-deployment, and ensuring compliance with data privacy and security standards.

  • Operational & Engagement Models:Define clear engagement processes for business units to access AI services. Develop chargeback or funding models for central AI offerings, ensuring transparency of costs. Continuously refine how the central AI team works with divisions including defining roles, responsibilities, and engagement expectations in a matrixed model where delivery resources sit within business units or Hearst Technology Services (e.g. consulting, joint development, or self-service models) to maximize value and satisfaction. 

  • Performance Measurement:Monitor and report on the impact of AI solutions. Track key success metrics such as efficiency gains, error reduction, revenue uplift, and user satisfaction. Use these insights to improve services and demonstrate the business value of AI initiatives.

  • Stakeholder Communication:Act as the primary liaison for AI initiatives between Hearst Technology Services and business unit leaders. Communicate progress, gather feedback, and ensure alignment with each unit's goals and secure commitment of shared resources and priorities across competing initiatives.  Champion an AI-driven innovation mindset while always prioritizing the needs and strategies of the businesses we serve.

Qualifications:

  • Education:Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred.

  • Experience:10+ years of experience in technology roles with at least 5 years in AI/ML or data science leadership. Proven track record of delivering AI/ML solutions in production (experience withGenerative AIprojects highly desired). 5+ years of managing teams or projects in a complex, cross-functional environment.

  • Technical Skills:Deep knowledge of AI/ML techniques, including natural language processing, machine learning frameworks, and cloud-based AI services. Hands-on experience withGPT or other large language models, and familiarity with RPA and other automation technologies. Strong understanding of MLOps, data pipelines, and deploying models at scale.

  • Business Acumen:Demonstrated ability to identify business process improvements and translate them into AI opportunities. Consulting mindset with excellent analytical and problem-solving skills to ensure AI initiatives have clear ROI and fit business objectives.

  • Leadership & Communication:Strong leadership and team-building skills. Demonstrated ability to lead, influence, and mentor cross-functional teams in a matrixed environment without direct authority.  Proven success driving alignment and delivery across distributed teams.  Excellent presentation and interpersonal skills, with the ability to influence and build consensus across diverse teams.

  • Service-Oriented Mindset:Passion for enabling and supporting internal "customers." High level of empathy and a collaborative approach to working with different business units. Ability to balance assertive recommendations with a flexible, listening attitude to meet each stakeholder's needs.

  • Innovation & Adaptability:Up-to-date with the latest AI trends and technologies. Creative thinker who can introduce new ideas and adapt strategies based on emerging best practices in AI and feedback from business stakeholders.

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $200,000 to $220,000. Please note this information is specific to those hired in New York City. For candidates outside New York City, the salary range will be aligned with the specific location. A final decision on the successful candidate's starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills, experience, training, certifications, and education.  Hearst provides a competitive benefits package, including medical, dental, vision, disability, and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

Hearst is a leading global, diversified information, services, and media company dedicated to innovating, informing audiences and leading with purpose, integrity and a culture of care.

Our portfolio includes more than 360 businesses worldwide. On the consumer side, we operate 35 television stations, 28 daily newspapers and publish more than 200 magazine editions featuring many of the most iconic brands in media. We also hold ownership stakes in leading cable networks such as A&E, HISTORY, Lifetime and ESPN. On the business-to-business side, our companies include Fitch Group, a global leader in financial information and analytics; Hearst Health, which provides intelligence and software that improve care outcomes; and Hearst Transportation, which delivers data and software for aviation, automotive and trucking.
Our strength lies in our people. We value the diverse perspectives that move us forward. We are an Equal Opportunity Employer and makes employment decisions without regard to race, color, religion, national origin, sex or gender, sexual orientation, gender identity, gender expression, age, disability, military or veteran status or any other status protected by federal, state, or local law. We also provide reasonable accommodations to applicants and employees consistent with applicable law.
Our Corporate Teams deliver essential programs and services that support the entire Hearst enterprise. Spanning communications, employee benefits, finance, learning and development, legal, technology, and more, these teams lead initiatives that advance Hearst's mission to inform and inspire. Here, you'll find opportunities to grow, collaborate and make a lasting impact.

What Hearst employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom