Rwazi Logo

Rwazi

AI Engineer – Marketing & GTM Systems

Posted 4 Days Ago
In-Office or Remote
Hiring Remotely in United States
Senior level
In-Office or Remote
Hiring Remotely in United States
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

5 Hours Ago
Remote or Hybrid
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and own low-level sensor infrastructure connecting the Falcon Sensor to the cloud: network communications, connection lifecycle, cryptographic integration, content delivery, and secure on-device storage across Windows, Linux, and macOS. Drive design, cross-team integration, production validation, incident resolution, testing improvements, and mentor junior engineers.
Top Skills: Ai TechnologiesCC++Content DeliveryCryptographyEdrEndpoint SecurityFalcon SensorKernel-Adjacent DevelopmentLinuxmacOSNetwork ProtocolsOn-Device Secure StorageWindows
6 Hours Ago
Remote or Hybrid
2 Locations
91K-322K Annually
Senior level
91K-322K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead cross-functional transformation to design scalable, governed content supply chains. Align business, product, and technical teams to reduce duplication, implement reusable content models and cross-channel distribution, manage platform implementations, and drive operational process improvements and execution across content and digital experience initiatives.
Top Skills: Content Management SystemsDigital PlatformsMartechReusable Content ModelsStructured Content
6 Hours Ago
Remote or Hybrid
2 Locations
99K-266K Annually
Mid level
99K-266K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and advise financial services clients on local and international real estate tax matters. Manage tax compliance, structuring, and risk; analyze tax proposals and financial trends; draft tax documents; oversee project delivery and client relationships; coach and develop team members; apply strategic tax planning and capital requirement considerations to client solutions.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account