Senior Growth Marketing Manager, AI Discovery

New

JobgetherDeveloper software security

Based in the United StatesFull-TimeSenior

SalaryAnnual base salary ranging from $140,000 to $167,500 USD

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Job Details

Experience: At least 4 years of experience in growth marketing, developer marketing, technical product marketing, or a related field
Required Skills: SQLSEO

Have at least 4 years of experience in growth marketing, developer marketing, technical product marketing, or a related field.
Have demonstrated ownership of measurable acquisition and conversion funnels targeting technical audiences.
Bring hands-on experience with SEO and Answer Engine Optimization, including technical SEO, keyword strategy, content optimization, and performance measurement.
Have strong technical proficiency and terminal fluency, with the ability to build and experiment with solutions such as MCP servers and AI agent skills.
Have advanced SQL skills and be able to independently query, analyze, and interpret data.
Have practical experience using AI coding agents and understand how Claude Code, Cursor, and Codex discover and evaluate technical resources.
Be able to design and execute experiments involving AI platforms, search engines, and coding agents.
Use data to measure acquisition, engagement, conversion, and pipeline contribution.
Be able to lead cross-functional projects and influence stakeholders without direct managerial authority.
Bring communication, collaboration, prioritization, and project management skills.
Experience in cybersecurity, cloud infrastructure, or the cloud-native ecosystem is a plus.
Familiarity with containers, Kubernetes, software supply chain security, or related developer technologies is a plus.

Own end-to-end SEO strategy, including keyword research, content development, programmatic landing pages, and technical search optimization.
Convert high-intent organic traffic into qualified signups, product demonstrations, and sales pipeline with Web and Product Marketing teams.
Develop Answer Engine Optimization strategies for AI platforms including ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.
Improve AI model discovery and recommendations through content, structured data, and third-party content placement.
Monitor AI visibility, citations, and mentions and identify opportunities to strengthen product discovery.
Optimize developer discovery and adoption across AI coding agents and tools, including Claude Code, Cursor, and Codex.
Map the agent adoption journey from discovery and authentication through implementation, building, and verification.
Partner with Product teams to develop and maintain MCP servers, Agent Skills, plugins, CLAUDE.md and AGENTS.md snippets, llms.txt files, and agent-friendly quickstart guides.
Run experiments using developer prompts across AI models and coding agents to assess which content, integrations, and resources drive recommendations and adoption.
Build attribution and measurement frameworks connecting organic search, AI-referred traffic, and agent-generated signups to business outcomes and sales pipeline.

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