Marketing Engineer, Demand Generation

Role Description

You are a technical, AI-native growth operator who sees marketing as a system to be engineered, not a collection of campaigns. You thrive at the intersection of growth, data science, generative AI, systems thinking, experimentation, and product intuition. You don't just use a marketing stack — you architect intelligent workflows, feedback loops, and AI-assisted systems that compound over time.

You are excited by questions like:

• What parts of marketing should humans still do?
• What can AI automate entirely?
• How do we dramatically increase experimentation velocity?
• How do we build authentic, trustworthy growth rather than shallow optimization?

You bring a builder's mindset — comfortable vibe-coding a Python script to bridge a tooling gap, moving fluidly between strategy and execution. You probably think the future marketing organization will look radically different from today's, and you want to help invent it.

Qualifications

• Systems thinking — you reason in workflows, feedback loops, and compounding advantages
• Technical fluency with APIs and coding (ex Python), workflow automation, AI tooling, CRM architecture, and modern GTM infrastructure (Clay, Apollo, HubSpot, or similar strongly preferred)
• Experience working with major Ads / Social platforms (Google, Facebook, LinkedIn, Reddit, etc)
• Comfort vibe-coding lightweight workflows and scripts in Python or JavaScript
• Deep analytical rigor — you build systems that generate insight, not just dashboards
• Experimentation mindset — you form hypotheses quickly, test rigorously, and update based on evidence
• AI fluency — you already use AI heavily and constantly look for leverage
• 3+ years in B2B demand generation, growth engineering, RevOps. Product-led growth experience preferred.
• No specific degree required. Demonstrated ability to build systems, drive growth, and learn quickly matters more.

Requirements

• Architect the growth system — Design end-to-end growth infrastructure integrating referral, paid, outbound, social, CRM, and product signals into a cohesive, continuously improving system.
• Build AI-assisted workflows — Automate lead enrichment, segmentation, outbound sequencing, content generation, performance analysis, and workflow orchestration using tools like Clay, Apollo, and custom automations.
• Manage an AI agent workforce — Design agents that handle data acquisition, enrichment, content transformation, research, and campaign execution.
• Drive demand generation — Own performance across paid and outbound channels (Google, Meta, LinkedIn, email, partnerships). Build high-intent pipeline and drive awareness-to-trial conversion.
• Treat growth like a product — Instrument the full funnel. Measure CAC, conversion, and pipeline quality. Use experimentation to isolate variables and improve system performance.
• Build feedback loops — Connect prospect/customer behavior, campaign performance, CRM activity, and revenue outcomes into actionable intelligence using an AI-first systems approach.
• Collaborate with sales — Optimize lead scoring, prioritization, handoff systems, and sales enablement workflows.
• Engineer content systems — Transform organizational knowledge, CRM data, and sales conversations into high-performing ads, outbound messaging, landing pages, and email sequences.

Benefits

• Competitive salary plus stock options
• Health insurance
• Dental insurance
• Vision insurance
• 401k matching
• Flexible PTO
• More benefits to support long-term well-being

Company Description

Product Genius is pioneering Large Interaction Models — bringing the power of generative AI to applications requiring real-time response on limited training sets. In eCommerce, we create "thinking websites" that personalize the shopping journey in real time, driving documented revenue lifts of 30%+.

Engineering is our DNA. We apply that same rigor to our go-to-market systems. We believe data matters, experimentation matters, proof matters, and authentic customer value creates durable businesses.