Principal Product Marketing Manager, Data & BI

📋 Description

• Design and sustain positioning, unique messaging, and a unified narrative that aligns our distinctive value with customer requirements.

• Direct the go-to-market strategy for product launches, from the bill of materials to sales enablement.

• Develop demand generation content aimed at both technical and business audiences: developers integrating reporting, data team leaders, and analytics buyers assessing platforms.

• Create and provide internal enablement resources and training, including product tours, email sequences, pitch materials, customer success stories, and demo scripts.

• Develop sales strategies and campaigns that enhance adoption and impact the sales pipeline.

• Collaborate with R&D to influence the product roadmap and convey our AI narrative, covering agentic workflows, AI-driven data enrichment, natural language dashboard creation, and automated insights.

• Analyze the competitive landscape and offer strategic insights for product positioning and input on the product management roadmap.

• Work alongside Customer Marketing and Product Management on the retention content calendar, including webinars, user engagement days, roadmap workshops, and expansion strategies.

• Introduce new features to the market and create enablement materials that enhance renewal discussions regarding AI capabilities.

• Convert roadmap updates into customer-facing messaging that emphasizes value during renewal periods.

• Contribute to Actian's overarching AI narrative as we enhance agentic, MCP-connected, and LLM-ready capabilities across various product lines.

• Generate messaging and content for cross-selling expansion initiatives within the Actian portfolio.

⛳️ Requirements

• 6-10 years of Product Marketing Management experience in enterprise software, with significant exposure to data, analytics, BI, or related fields.

• Proven experience in marketing a BI or analytics product directly.

• Background in marketing to analytics teams, data engineers, and application developers.

• Understanding of how AI capabilities are transforming BI product roadmaps and influencing buyer expectations.

• Experience with open-source communities, free trials, and product-led growth strategies.

• Practical experience with AI tools and workflow automation (this is an important aspect).

🏝️ Benefits

• Health insurance

• Flexible work arrangements

• Professional development opportunities