Rwazi Logo

Rwazi

AI Engineer – Marketing & GTM Systems

Reposted One Month 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

7 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Build and scale reliable Snowflake data pipelines, ML pipelines, monitoring systems, and AI-driven agentic tooling that automates pipeline generation, testing, and maintenance. The role partners with analysts, data scientists, product teams, and analytics engineers to deliver scalable end-to-end data infrastructure for Babylist’s e-commerce platform.
Top Skills: Agentic WorkflowsAmazon Ec2Amazon EksAmazon S3Apache AirflowAWSAws LambdaDbtLlmsMachine Learning PipelinesMcp ServersPythonRagSnowflake
7 Hours Ago
In-Office or Remote
CA, USA
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.
Top Skills: Application SecurityArtificial IntelligenceCloud SecurityEndpoint SecurityIdentity SecurityNetwork SecurityPythonSaaSSQL
7 Hours Ago
In-Office or Remote
CA, USA
120K-213K Annually
Senior level
120K-213K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build AI-enabled automation tools that simplify People Team processes and improve employee experience. Partner with People leaders to identify and prioritize opportunities, redesign workflows, develop reliable integrations, and measure outcomes using data and feedback. The role requires process improvement, software and automation experience, technical fluency across systems and data, strong UX instincts, and the ability to communicate tradeoffs and impact to senior stakeholders.
Top Skills: Ai ToolsAutomation SoftwareDashboardsData IntegrationsGreenhouseSnowflakeWorkday

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account