Senior Product Marketing Manager, AI Apps
New
Listing location: US
Structured job location: USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8 to 10+ years
- Required Skills
- Artificial IntelligenceData AnalysisMachine LearningSaaS
Requirements
- 8 to 10+ years of product marketing experience in SaaS, AI, data platforms, or technical product environments.
- Proven experience launching AI, machine learning, or automation-based products or features.
- Strong ability to translate complex technical concepts into clear, compelling customer messaging.
- Experience owning go-to-market strategy and driving measurable adoption and growth outcomes.
- Background working closely with Product, Engineering, Data Science, and Growth teams.
- Strong storytelling, writing, and content development skills for both technical and non-technical audiences.
- Data-driven mindset with experience defining KPIs and measuring product and marketing impact.
- Strong understanding of customer behavior, market dynamics, and product adoption levers.
- Experience with SMB, mid-market, or developer-focused products is highly valuable.
- MBA or advanced degree in business or a technical field is a plus.
Responsibilities
- Define and lead go-to-market strategy for AI Agents and AI-powered applications across the full customer lifecycle, from build to scale.
- Develop positioning and messaging frameworks that clearly articulate the value of AI-driven products for SMB, developer, and mid-market segments.
- Identify high-impact use cases that drive adoption, activation, engagement, and revenue growth.
- Lead cross-functional product launches from beta through general availability, ensuring strong market entry and sustained adoption.
- Partner with Product, Engineering, and Data teams to shape roadmap direction based on market insights and customer feedback.
- Translate complex AI and machine learning capabilities into simple, compelling customer benefits and business outcomes.
- Build and execute content strategies including product narratives, demos, case studies, and sales enablement materials.
- Support lifecycle and growth teams in improving acquisition, activation, retention, and expansion metrics.
- Define success metrics and use data-driven experimentation to continuously optimize messaging and go-to-market performance.
- Monitor competitive landscape and emerging trends in AI, SaaS, and digital presence ecosystems.
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