Product Marketing Manager
TalentBurst, an Inc 5000 company, San Francisco, California, United States, 94199
Client is accelerating the use of AI to transform Marketing workflows end to end—from campaign insight generation to content creation, testing, and operational throughput. We're seeking a Senior Manager, AI Marketing Capabilities to define, build, and scale AI powered products that drive measurable productivity gains (time savings, cost savings, improved quality, enhanced brand consistency).
This role sits at the intersection of Marketing, Product, and Technology. You'll translate real employee workflows into clear product use cases and requirements, collaborate with Technology to bring capabilities to life, and lead the change management required for global adoption. The ideal candidate excels at cross functional alignment, clear communication, and motivating people to experiment with and adopt new AI enabled ways of working.
What You'll Do 1) Capability Strategy & Product Development (50%)
Analyze Marketing workflows (e.g., campaign insights/strategy, content creation, content testing, RFP responses, SOW drafting, throughput management) and translate them into scalable AI capabilities.
Develop comprehensive product requirements (user stories, acceptance criteria, use case documentation) in collaboration with Technology.
Identify opportunities where existing and emerging LLMs and multimodal models (e.g., Google Veo, Adobe Firefly, OpenAI models, domain specific AI APIs) can create meaningful value for Marketing teams.
Shape product roadmaps aligned with business priorities, user needs, responsible AI practices, and governance requirements.
2) Experimentation, Measurement & Quality (20%)
Lead prototype testing, pilot programs, and agile experimentation with well defined hypotheses and success metrics.
Implement evaluation frameworks for AI generated text, image, video, and strategic insights to ensure quality, accuracy, brand adherence, and safety.
Establish rigorous measurement of impact, including time saved, cost reduction, content quality improvements, brand consistency, and adoption rates.
3) Change Management & Adoption (20%)
Drive strong cross functional alignment across Marketing, Brand, Creative, Legal, Finance, Sales, and other internal groups.
Develop and deliver clear, concise enablement materials—email communications, Teams messaging, demo sessions, training guides, prompt practices, and office hours.
Build communities of practice and champion networks to accelerate onboarding and adoption.
Foster a culture of responsible AI, safe experimentation, and continuous learning.
4) Operations, Governance & Vendor Management (10%)
Maintain a clear capability portfolio and roadmap that balances strategic build priorities with user demand.
Partner with Technology to ensure AI products meet standards for data privacy, security, compliance, and responsible use.
Evaluate and manage third party AI vendors and APIs where appropriate, including pilot scoping and ROI assessment.
Required Qualifications
8–12+ years in Marketing, Product Management (AI/ML preferred), Marketing Operations, or similar cross functional roles.
Strong understanding of LLMs, multimodal models, and emerging AI capabilities—including how they can be applied to marketing workflows (e.g., text generation/summarization, image/video generation, insight analysis, workflow acceleration).
Ability to translate ambiguous workflow challenges into clear product requirements, user stories, roadmaps, and capability specifications.
Demonstrated success in cross functional change management, including facilitating workshops, gathering input across diverse stakeholder groups, and driving adoption.
Excellent written and verbal communication skills, especially in email, Teams, and structured meetings with senior stakeholders.
Experience operating in agile environments with iterative releases, user testing, and continuous improvement cycles.
Preferred Qualifications
Familiarity with APIs and platforms related to LLMs and multimodal models (e.g., OpenAI API, Google Veo, Adobe Firefly, Claude, Gemini, and similar).
Understanding of how AI interacts with enterprise systems without requiring deep system administration expertise.
Experience turning qualitative feedback into quantifiable metrics and business case evaluations.
Background in brand strategy, creative development, or marketing workflow optimization.
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This role sits at the intersection of Marketing, Product, and Technology. You'll translate real employee workflows into clear product use cases and requirements, collaborate with Technology to bring capabilities to life, and lead the change management required for global adoption. The ideal candidate excels at cross functional alignment, clear communication, and motivating people to experiment with and adopt new AI enabled ways of working.
What You'll Do 1) Capability Strategy & Product Development (50%)
Analyze Marketing workflows (e.g., campaign insights/strategy, content creation, content testing, RFP responses, SOW drafting, throughput management) and translate them into scalable AI capabilities.
Develop comprehensive product requirements (user stories, acceptance criteria, use case documentation) in collaboration with Technology.
Identify opportunities where existing and emerging LLMs and multimodal models (e.g., Google Veo, Adobe Firefly, OpenAI models, domain specific AI APIs) can create meaningful value for Marketing teams.
Shape product roadmaps aligned with business priorities, user needs, responsible AI practices, and governance requirements.
2) Experimentation, Measurement & Quality (20%)
Lead prototype testing, pilot programs, and agile experimentation with well defined hypotheses and success metrics.
Implement evaluation frameworks for AI generated text, image, video, and strategic insights to ensure quality, accuracy, brand adherence, and safety.
Establish rigorous measurement of impact, including time saved, cost reduction, content quality improvements, brand consistency, and adoption rates.
3) Change Management & Adoption (20%)
Drive strong cross functional alignment across Marketing, Brand, Creative, Legal, Finance, Sales, and other internal groups.
Develop and deliver clear, concise enablement materials—email communications, Teams messaging, demo sessions, training guides, prompt practices, and office hours.
Build communities of practice and champion networks to accelerate onboarding and adoption.
Foster a culture of responsible AI, safe experimentation, and continuous learning.
4) Operations, Governance & Vendor Management (10%)
Maintain a clear capability portfolio and roadmap that balances strategic build priorities with user demand.
Partner with Technology to ensure AI products meet standards for data privacy, security, compliance, and responsible use.
Evaluate and manage third party AI vendors and APIs where appropriate, including pilot scoping and ROI assessment.
Required Qualifications
8–12+ years in Marketing, Product Management (AI/ML preferred), Marketing Operations, or similar cross functional roles.
Strong understanding of LLMs, multimodal models, and emerging AI capabilities—including how they can be applied to marketing workflows (e.g., text generation/summarization, image/video generation, insight analysis, workflow acceleration).
Ability to translate ambiguous workflow challenges into clear product requirements, user stories, roadmaps, and capability specifications.
Demonstrated success in cross functional change management, including facilitating workshops, gathering input across diverse stakeholder groups, and driving adoption.
Excellent written and verbal communication skills, especially in email, Teams, and structured meetings with senior stakeholders.
Experience operating in agile environments with iterative releases, user testing, and continuous improvement cycles.
Preferred Qualifications
Familiarity with APIs and platforms related to LLMs and multimodal models (e.g., OpenAI API, Google Veo, Adobe Firefly, Claude, Gemini, and similar).
Understanding of how AI interacts with enterprise systems without requiring deep system administration expertise.
Experience turning qualitative feedback into quantifiable metrics and business case evaluations.
Background in brand strategy, creative development, or marketing workflow optimization.
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