San Francisco, CA, New York, New York, Remote•US (Remote)
Remote
Director
Full Time
5 days ago
💰$220,000 - $260,000
AIEnterprise SaaSProduct MarketingGo-to-MarketDirector Level
Requirements
- •8–12+ years of product marketing experience, ideally in Enterprise SaaS or AI
- •Experience leading go-to-market strategy for complex, technical platforms
- •Proven track record influencing executive stakeholders
- •Strong analytical skills and ability to translate data into strategic direction
- •Excellent communication skills and comfort presenting at the executive level
- •Strong understanding of large language models and enterprise AI deployment
- •Experience building and scaling product marketing teams
What You'll Do
- •Define and drive go-to-market strategy for AI Agent and Agentic Assist portfolio
- •Develop and refine segmentation, positioning, and messaging for product portfolio
- •Create sales and marketing collateral communicating product differentiation and value
- •Partner with Product, Sales, Customer Success, and Marketing to execute go-to-market strategies
- •Lead end-to-end launch strategy and develop enablement for new products
- •Analyze wins and losses to influence roadmap and growth strategy
- •Conduct market research and competitive analysis
- •Develop thought leadership and high-impact marketing campaigns
- •Advise executive leadership on market dynamics and platform strategy
- •Ensure cross-functional alignment across sales, marketing, product, and partnerships
Nice to Have
- •Experience in contact center, customer experience, or enterprise automation categories
- •Experience marketing AI Agent or agentic AI systems
Benefits
- •Comprehensive medical, dental, and vision coverage
- •Flexible PTO
- •Paid parental leave
- •Retirement savings plan
- •Remote work setup budget
- •Monthly wellness and communication stipend
- •In-office meal program and commuter benefits for onsite employees
About Cresta
Cresta uses artificial intelligence to assist sales and service agents in the quality of customer service.
Palo Alto, CA, US
250 - 500
AI & Machine Learning