Responsibilities

• Architect the Outbound Engine: Use Clay for deep research and lead enrichment, Wiza and Sales Navigator for audience research and sourcing.
• Scale High-Volume Outreach: Deploy, test, and manage outbound email sequences via Instantly.ai, and Valley for signal-based LinkedIn outreach to ensure high deliverability and AI-driven personalization at scale.
• Own the System of Record: Maintain HubSpot as the single source of truth. Build the automated "plumbing" that moves leads from discovery to booked meetings with zero manual data entry.
• Inbound & SEO Strategy: Leverage SEMRush to identify high-intent keywords and gaps then use AI platforms to generate and deploy high-converting content across our marketing channels.
• Paid Search and Social Management and Optimization: You’ll manage paid search and paid social campaigns and ensure that all message testing, positioning and experimentation is being fed directly into our paid channels to optimize outcomes.
• Optimize & Iterate: Treat the funnel like code. You will constantly A/B test messaging, landing pages, and workflows, using data to kill what isn’t working and double down on what is.
• Master the Kana Platform: Acting as "Customer Zero" for Kana’s agentic platform, you will, in parallel, deploy our internal AI agents to find audiences, optimize digital campaigns, and ensure our brand is discoverable in the LLM ecosystem (AEO).

Requirements

• The Technical Marketer: You likely have a background in Growth Engineering or RevOps. You don't just "use" tools; you connect them via APIs, webhooks, and Google Workspace automation.
• A Storyteller: You may occasionally be called upon to share your methods, your experiments and your learnings in a well-organized narrative on stage at events, in webinars, and in customer meetings.
• AI-Native: You are obsessed with the current AI landscape. You know how to prompt (Claude/GPT/Gemini), how to use LLMs for data transformation, and how to automate high-level cognitive tasks.
• Data-Obsessed: You live in the numbers. You understand CAC, LTV, conversion rates, and attribution, and you use these metrics to guide your next experiment.
• Bias for Action: You’d rather ship an experimental campaign today than wait for a "perfect" one next month.