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AI Engineer – Marketing & GTM Systems

Role overview

Qualifications

  • Strong Python and/or TypeScript; comfortable with scraping, enrichment, and API integrations
  • Experience with modern GTM stacks like HubSpot/Salesforce, Clay/Apollo, and n8n/Make/Zapier
  • Ability to build and demo autonomous or semi-autonomous workflows that ran in production

Responsibilities

  • Absorb manual GTM workflows into AI systems that run themselves
  • Build Lead sourcing, enrichment, scoring, and personalized sequencing wired into CRM
  • Create AI-assisted production for outbound copy, landing pages, social, and campaign assets
  • Develop dashboards to show pipeline, conversion, and campaign performance automatically

About the company

Rwazi, Inc. logo

Rwazi, Inc.

Rwazi is a consumer-trained AI platform redefining how global brands make decisions, by capturing and converting real-time consumer activity into immediate, contextual actions. In a world where traditional data is too slow, noisy, or disconnected, Rwazi delivers clarity, speed, and precision at a global scale. We capture zero-party data: insights directly and voluntarily shared by consumers about what they use, when, where, how often, and why—spanning both products and services across millions of users in 190+ countries. Rwazi’s AI processes this raw, real-time input to deliver clear answers—enabling teams to optimize product-market fit, launch smarter campaigns, and make faster, more confident decisions across markets. We serve global brands across a wide range of industries, empowering them to stay ahead in an increasingly dynamic and competitive world.

Company details

Company size11 - 50

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Job description

Rwazi is a global consumer intelligence platform. Our go-to-market engine still runs on too many manual workflows — prospecting, enrichment, campaign ops, content production, reporting. Your job is to absorb those workflows into AI systems that run themselves.

You will not write strategy decks. You will ship working tools, weekly, that remove manual GTM work and make pipeline move faster.

What you'll build

  • Outbound engine: lead sourcing → enrichment → scoring → personalized sequencing, wired into our CRM. Agentic where possible, human-in-the-loop where it matters.

  • Inbound & lifecycle flows: lead routing, qualification, nurture triggers, activation and re-engagement automations.

  • Content pipeline: AI-assisted production for outbound copy, landing pages, social, and campaign assets — with QA gates so nothing off-brand ships.

  • GTM data layer: dashboards and reporting that show pipeline, conversion, and campaign performance without anyone assembling them by hand.

  • Temporary fixes: when a GTM workflow breaks or a tool gap appears, you build the patch fast rather than waiting on a vendor.

First 90 days (how you'll be evaluated)

  • Day 7: first shippable artifact live — a working flow, not a plan.

  • Day 30: 2–3 GTM automations in production; outbound engine in alpha.

  • Day 60: measurable scope absorption — which manual GTM workflows are you removing per week?

  • Day 90: trial decision, based on shipped output and hours-saved/pipeline-moved numbers.

You

  • Ship fast with LLM APIs (Claude, GPT) — prompt engineering, agent frameworks, RAG where useful

  • Strong Python and/or TypeScript; comfortable with scraping, enrichment, and API integrations

  • Hands-on with the modern GTM stack: CRM (HubSpot/Salesforce-type), enrichment (Clay/Apollo-type), orchestration (n8n/Make/Zapier), email infra

  • Have built and can demo autonomous or semi-autonomous workflows that ran in production — links or Looms beat resumes

  • Self-directed. You find the manual workflow, propose the fix, and ship it. Raising a problem without a proposed fix is not how we work.

  • Available with meaningful US-timezone overlap

Engagement

  • Contractor

  • 25–40 hrs/week

  • 3-month mutual trial; rate and scope re-evaluated at Day 90

  • Reports into Marketing/GTM leadership (not Engineering)

To apply

  1. Link the best AI-powered GTM or marketing automation you've built. What did it replace, and what number did it move?

  2. Which part of a typical outbound flow would you automate first, and how?

  3. Your hourly rate and weekly availability (US-overlap hours).

Applications without a shipped-work link will not be reviewed.

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MR

Marcus Rivera

Chief Revenue Officer

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