2 дня назад
Senior Manager, Product Marketing (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Product Marketing (AI): Leading product marketing for Data Quality, Data Governance, Master Data Management, and Data Integration capabilities with an accent on portfolio positioning, go-to-market strategy, and people leadership. Focus on building messaging frameworks, directing launches, developing the product marketing team, and applying AI responsibly across marketing workflows.
Location: 100% remote anywhere in the United States; travel required approximately 10–15%
Company
provides data integrity software, data enrichment products, and strategic services for more than 12,000 organizations.
What you will do
- Lead, coach, and develop a small team of Product Marketing Managers across Data Quality, Data Governance, Master Data Management, and Data Integration.
- Own portfolio-level narratives, value propositions, positioning, and messaging for data leaders and business stakeholders.
- Direct launch planning and coordinate roadmap alignment with Product Management.
- Drive collaboration with Sales, Demand Generation, Content Marketing, Web & Brand, Communications, and Sales Enablement.
- Develop persona-based messaging, thought leadership, campaign strategy, and sales readiness materials such as pitch decks, demos, solution briefs, and battlecards.
- Establish scalable messaging standards and champion responsible AI adoption across the product marketing team.
Requirements
- Bachelor’s degree or equivalent work experience.
- At least 7 years of product marketing experience in B2B software, including ownership of go-to-market strategy for a multi-product or multi-capability portfolio.
- At least 2 years of directly managing or leading product marketers or a similar team.
- Strong experience developing positioning and messaging for both business and technical buyers.
- Demonstrated success partnering with Demand Generation, Sales, Sales Enablement, and Product Management.
- Hands-on experience applying generative or agentic AI to messaging, content, research, and competitive intelligence, with sound judgment regarding responsible adoption.
Nice to have
- Experience with data quality, data governance, master data management, data integration, data observability, or related data management solutions.
- Familiarity with Snowflake, Databricks, AWS, Azure, or Google Cloud.
- Exposure to AI and machine learning use cases and trustworthy AI outcomes.
- Experience with analyst briefings, inquiries, and evaluations involving Gartner, IDC, or similar organizations.
Culture & Benefits
- Work-from-anywhere culture within the United States and a distributed environment.
- AI-first organization with expectations for practical, critical, and responsible use of AI tools.
- Opportunities for career development, learning, and community building.
- Core values include Openness, Determination, Individuality, and Collaboration.
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