Digital Growth & AI Strategy Marketing Manager
M
MariaDB plcDatabase, B2B SaaS
Remote USAFull-TimeManager
Salary130000 - 150000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLGoogle AnalyticsSEMrush
Requirements
- 5+ years in Performance Marketing or SEO
- 1-2 years specifically focused on AI-driven strategies or AEO (Answer Engine Optimization)
- Technical depth in Retrieval-Augmented Generation (RAG)
- Understanding of how to structure data so AI bots can ingest it effectively
- Expert-level knowledge of Profound, Promptwatch, or similar AI-visibility platforms
- Mastery of GA4
- Mastery of Google Ads
- Mastery of SEMrush
- Ability to translate complex technical concepts (like distributed SQL or vector search) into the "language of LLMs"
- Experience in the database or high-tech B2B SaaS industry
- A portfolio of "GEO Wins"
- Proficiency in Python for data analysis and marketing automation
- Proficiency in SQL for data analysis and marketing automation
Responsibilities
- Orchestrate LLM Visibility using tools like Profound and Promptwatch to monitor and improve MariaDB’s "Share of Model" across major LLMs (OpenAI, Google, Anthropic, Perplexity).
- Identify authoritative sources (documentation, GitHub, Reddit, industry blogs) that LLMs prioritize and implement strategies to ensure MariaDB’s content is cited and synthesized accurately.
- Identify queries where competitors are being recommended over MariaDB and execute content/technical plays to flip the narrative.
- Manage high-intent Google/Bing/LinkedIn campaigns to drive awareness and high-quality leads for MariaDB’s cloud and enterprise solutions.
- Seamlessly integrate traditional SEO keywords with "Prompt Engineering for Search"—optimizing landing pages for both human readers and AI crawlers.
- Track the customer journey from an AI-generated answer to a website conversion, providing clarity on how "Zero-Click" search is impacting our pipeline.
- Leverage web tools to experiment and optimize conversion rates on digital assets.
- Own and optimize our marketing AI stack, chaining tools together (e.g., using AI agents for content scaling, monitoring sentiment via Promptwatch, and automating technical schema updates).
- Run "synthetic search" audits to see how our brand sentiment evolves with every model update or product launch.
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