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Marketing Engineer

À propos du poste

• Map the worker journey from first touch through churn and build automations that remove friction
• Build journeys in Iterable or similar tools using worker data filters and automatic campaign enrollment based on metric thresholds
• Build triggered onboarding, re-engagement, and win-back flows
• Use Large Language Models (LLMs) to personalize messaging and improve conversion
• Use Looker data to automatically activate and deactivate paid social campaigns through Meta, TikTok, and similar APIs
• Build integrations that programmatically post job listings based on open platform roles
• Automate campaign activation across organic and paid channels, including social, job boards, search, and answer engine optimization
• Rebuild manual marketing workflows to be AI-native
• Build AI agent workflows for acquisition, content creation, and competitive intelligence
• Build evaluation frameworks tied to marketing key performance indicators (KPIs)
• Automate campaign reporting end to end
• Design, launch, analyze, and scale or stop experiments
• Monitor market health and activate playbooks for customer launches, ramp-ups, fill-rate drops, worker churn, and geographic gaps
• Convert manually run campaigns into specifications for future automation

• 2 to 4 years in a technical role where you built and shipped, whether your title was growth, lifecycle, marketing operations, Go-To-Market (GTM) engineering, analytics, or automation
• You write Structured Query Language (SQL) from scratch and are comfortable in Looker or a similar business intelligence tool
• You work with APIs directly, handle authentication and webhooks, and build automations end to end in Zapier, n8n, Make, or code, including error handling and maintenance after launch
• Hands-on experience with LLM APIs (Anthropic, OpenAI) and agents, including prompt design, structured outputs, and evaluation loops
• Experience building triggered campaigns in Iterable or a similar platform, or comparable automations from scratch
• A structured approach to experimentation; define what success looks like before building and measure it after
• Shipped internal tools that teams actually adopted
• Nice to haves: understanding of B2C funnel behavior and drop-off; marketplace or gig economy product experience; familiarity with paid acquisition channels and automating decisioning across them; experience with Clay, Framer, or Lovable

• The opportunity for growth in a mission-driven and well-funded start-up
• Company laptop
• Paid time off, Holiday pay, and Unpaid time off
• Access to no-cost on-demand mental health support, including counselling, mindfulness and meditation, and well-being courses
• Ability to work from anywhere in Colombia, El Salvador, Costa Rica, or Guatemala (no more commutes!)
• Team outings, happy hours, company off-sites, and more!