Rwazi Logo

Rwazi

AI Engineer – Marketing & GTM Systems

Reposted 3 Months Ago
In-Office or Remote
Hiring Remotely in Canada
Senior level
In-Office or Remote
Hiring Remotely in Canada
Senior level
Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.
The summary above was generated by AI

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.

Similar Jobs

2 Hours Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Own and coordinate cross-functional fraud and abuse prevention programs across Trust and Safety, Security, Engineering, Product, Legal, and Finance. Translate abuse trends into prioritized defenses, business cases, metrics, and implementation plans. Partner on payment fraud, chargebacks, account verification, AI-based risk detection, and incident escalation. Drive initiatives to completion without direct authority while balancing fraud risk with legitimate-user experience.
Top Skills: AIAPIsBilling SystemsIdentity And AuthenticationSubscription SystemsWeb Applications
2 Hours Ago
Easy Apply
Remote
Canada
Easy Apply
Expert/Leader
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.
Top Skills: Artificial IntelligenceCausal InferenceMachine LearningPythonSQL
2 Hours Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Build Affirm’s narrative intelligence function by analyzing audience, behavioral, brand, media, social, survey, and business data. Develop measurement frameworks, dashboards, research studies, and feedback loops to assess narrative performance. Translate complex evidence into actionable recommendations for positioning, messaging, campaigns, content, and communications strategy while partnering across Analytics, User Research, Marketing, and creative teams.
Top Skills: SQL

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account