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Marketing Engineer, Demand Generation

Role overview

Qualifications

  • 3+ years in B2B demand generation, growth engineering, RevOps
  • Technical fluency with APIs and coding (ex Python)
  • Experience working with major Ads / Social platforms (Google, Facebook, LinkedIn, Reddit, etc)
  • No specific degree required, demonstrated ability to build systems, drive growth, and learn quickly matters more

Responsibilities

  • Architect the growth system - Design end-to-end growth infrastructure
  • Build AI-assisted workflows - Automate lead enrichment, segmentation, outbound sequencing, content generation
  • Manage an AI agent workforce - Design agents that handle data acquisition and campaign execution
  • Drive demand generation - Own performance across paid and outbound channels

About the company

Product Genius logo

Product Genius

Artificial Intelligence & Machine Learning Services

Cutting edge Shopify AI apps that lift revenue by an average of 24.5%

Company details

Company typeStartup
IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

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Job description

About You

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.

About Us

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.

About the Role

As our Marketing Engineer, you will own the architecture and execution of our AI-native demand generation engine — working directly with leadership and engineering to design a continuously learning awareness-to-trial pipeline powered by AI agents, workflow automation, experimentation systems, enrichment pipelines, and GTM infrastructure.

This is a foundational role with enormous ownership and leverage.

What You'll Do

  • 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.

What You'll Bring

  • 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.

Compensation and Benefits

We provide a competitive salary plus stock options. We believe in the health and long-term well-being of our team members. We provide solid benefits including health insurance, dental insurance, vision insurance, 401k matching, flexible PTO, and more.

Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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