
Head of Product Marketing
2 days ago
We're looking for a Principal Product Marketing Manager with strong SaaS experience, preferably in data, analytics, BI, ML, or AI. You'll be the bridge between product, sales, and marketing to shape positioning and ensure alignment.
Our TeamWe are a small, fast-paced product marketing team. Our group combines experienced product marketing managers with former technical leaders who bring deep expertise in data, analytics, ML, and AI. We work closely with product, engineering, sales, and field marketing to craft narratives and positioning that highlight GoodData's unique strengths and value.
What will you doYou'll shape and evolve GoodData's product messaging and positioning for the shift to an AI-native company while building on strong analytics and developer-friendly foundations
You'll collaborate with senior leadership, the CEO, and key customers on our most important AI initiatives
You'll work with Product, Engineering, and Growth Marketing on implementing our AI strategy
You'll align Product and Sales teams through enablement
You'll identify customer pain points, targets, and personas through direct customer and executive interactions
You'll create and own sales materials and field marketing campaigns focused on AI
You'll build and run customer reference programs
You'll define pricing strategy
You've got solid SaaS/software product marketing experience
You've got technical knowledge of analytics and AI
You've got strong communication and presentation skills
You can effectively work with both business and technical stakeholders
You've got hands-on experience from internal or customer analytics and AI projects
You can simplify complex concepts and make them clear
You're curious about modern and AI-driven marketing tools
You've got an eye for visual and design quality
GoodData powers modern BI for the modern data stack.GoodData is a cloud-based analytics platform. Employees, customers, and business partners will understand the data in the same way thanks to GoodData's robust end-to-end pipeline; self-service analytics; low-code/no-code interfaces; embeddable data visualization; application integration; and more.
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