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Technical Product Marketing Manager

Posted 2024-11-14

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💎 Seniority level: Manager, 5+ years

📍 Location: United Kingdom

🔍 Industry: Database management and analytics

🏢 Company: ClickHouse

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: Project ManagementSQLStrategyCommunication Skills

Requirements:
  • 5+ years of experience in product, product marketing, or a software engineering role at a startup.
  • Deep understanding of databases, particularly SQL and OLAP, or another relevant technical domain (data analytics, observability).
  • Strong understanding of marketing principles and best practices, with experience and/or a deep interest in developing product positioning and messaging.
  • Excellent written and verbal communication skills, with the ability to articulate complex concepts clearly and concisely.
  • Analytical mindset with the capacity to leverage data and metrics to measure performance and inform decision-making.
  • Proven project management skills with the ability to manage multiple tasks and deadlines simultaneously.
  • Team player who collaborates effectively across functions and levels.
  • Passion for technology and innovation, with a drive to stay current on industry trends and advancements.
Responsibilities:
  • Develop comprehensive product marketing strategies and plans to drive awareness, demand, and adoption of ClickHouse.
  • Craft compelling messaging, positioning, and value propositions that resonate with customers and differentiate ClickHouse in the market.
  • Create high-impact marketing collateral, including website content, conference materials, presentations, and internal enablement content.
  • Collaborate with the cross functional team to gather market insights and understand customer needs.
  • Lead the launch of new products and features.
  • Conduct competitive analysis to understand market trends, identify opportunities, and inform product and marketing strategies.
  • Evaluate and iterate on this strategy with metrics and feedback from stakeholders to track efficacy, identify areas for improvement, and make data-driven recommendations.
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