AI Engineer – Marketing & GTM Systems

Rwazi, Inc.; Polska; Hybrid; PLN 165,000 - 248,000; Full time

Job summary

Rwazi, Inc. is seeking a contractor to design and ship autonomous GTM workflows that reduce manual prospecting and enrichment tasks.

You’ll implement outbound engines, inbound flows, and AI-assisted content pipelines using Python and TypeScript, integrating with CRM and enrichment tools, with human-in-the-loop when needed. You’ll build and ship artifacts weekly, demonstrate measurable time savings, and operate across US time zones.

Qualifications

• Strong Python and/or TypeScript experience.
• Experience with scraping, enrichment, and API integrations.
• Ability to build automation in CRM and enrichment stacks.
• Demonstrated track record shipping autonomous or semi-autonomous workflows.

Responsibilities

• Design and ship autonomous GTM workflows.
• Develop outbound engine, inbound flows, and content pipelines.
• Integrate tools with CRM, enrichment services, and orchestration platforms.
• Deliver working artifacts weekly and quantify time saved.

Skills

Python

TypeScript

scraping

enrichment

API integrations

Tools

HubSpot/Salesforce

n8n/Make/Zapier

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)