AI Engineer – Marketing & GTM Systems
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 63d ago
The date the source published, not the day we noticed it (2026-07-13). Last seen at its source just now.
Is it remote?
Global (Remote)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $110.6k–163.4k/yr
Middle 50% of 26 listings that do state pay — Engineering · all levels · Worldwide · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen just now
The listing
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
Link the best AI-powered GTM or marketing automation you've built. What did it replace, and what number did it move?
Which part of a typical outbound flow would you automate first, and how?
Your hourly rate and weekly availability (US-overlap hours).
Applications without a shipped-work link will not be reviewed.