Growth Marketer with AI Vibe Coding Chops
About the Role
Lead the design and execution of an AI-native demand generation system that integrates product, engineering, and marketing signals to drive awareness-to-trial conversion. Build and operate AI-assisted workflows, automation, experimentation, and enrichment pipelines while collaborating closely with sales and engineering to treat growth as a continuously improving product.
Job Description
Role
You will own the architecture and execution of Product Genius’ AI-native demand generation engine, designing a continuously learning awareness-to-trial pipeline powered by AI agents, workflow automation, experimentation systems, enrichment pipelines, and GTM infrastructure. This is a foundational, high-leverage role working directly with leadership and engineering to engineer growth as a product.
Key Responsibilities
- Architect end-to-end growth infrastructure integrating referral, paid, outbound, social, CRM, and product signals into a cohesive, continuously improving system.
- Build AI-assisted workflows to automate lead enrichment, segmentation, outbound sequencing, content generation, performance analysis, and orchestration using tools like Clay, Apollo, and custom automations.
- Engineer event-driven data pipelines and scrapers to capture high-intent accounts around industry conferences and physical deployments.
- Design and manage AI agent workforces for data acquisition, enrichment, content transformation, research, and campaign execution.
- Drive demand generation across paid and outbound channels (Google, Meta, LinkedIn, email, partnerships) to build high-intent pipeline and increase awareness-to-trial conversion.
- Instrument the full funnel; measure CAC, conversion, and pipeline quality and run experiments to isolate variables and improve system performance.
- Build feedback loops that connect prospect behavior, campaign performance, CRM activity, and revenue outcomes into actionable intelligence.
- Collaborate with sales to optimize lead scoring, prioritization, handoffs, and enablement workflows.
- Engineer content systems that convert organizational knowledge, CRM data, and sales conversations into ads, outbound messaging, landing pages, and email sequences.
- Own editorial judgment to ensure ads, landing pages, outbound messaging, and posts carry voice, story, and clear value for the audience.
Requirements
- Strong systems thinking: reason in data science, workflows, feedback loops, and compounding advantages.
- Technical fluency with APIs, coding (explicitly Python), and workflow automation tools.
- Deep analytical rigor and an experimentation mindset: form hypotheses quickly, test rigorously, and update based on evidence.
- Heavy, pragmatic AI fluency and experience using AI for leverage in workflows and systems.
- Ability to operate from first principles in ambiguity and ship working solutions without a playbook.
- Strong relationship-building skills for influencer/creator partnerships, agencies, ecosystem partners, community, and customer advocacy.
- Design and editorial taste to evaluate and set standards for high-converting messaging and creative.
Nice to have
- CRM architecture experience and familiarity with modern GTM infrastructure (Clay, Apollo, HubSpot or similar).
- Experience with major ads/social platforms (Google, Facebook/Meta, LinkedIn, Reddit).
- Shopify and e-commerce ecosystem experience.
- 3+ years in B2B demand generation, growth engineering, or RevOps.
- Product-led growth experience.
- Compensation range: $150,000 - $190,000 (USD).
- Competitive salary plus stock options.
- Health insurance, dental insurance, vision insurance, 401(k) matching, and flexible PTO.
Skills
Systems Thinking Data Science Experimentation Product Intuition Narrative Judgment Technical Empathy Analytical Rigor API Fluency Workflow Automation A/B Testing Relationship Building Content Strategy Demand Generation Growth Marketing Collaboration with Sales Funnel Instrumentation