Role Description This job is available worldwide, not only in Europe, but also in LATAM, Africa, and Asia. As the AI Revenue Engineer, you will be responsible for developing, deploying, and managing AI-driven agents that streamline sales, marketing, and revenue operations. - Build and run autonomous agent systems that execute go-to-market workflows, including research, outreach, data enrichment, and reporting. - Oversee the AI operations toolchain end to end — identifying opportunities for automation, designing and deploying agents, and continuously optimizing performance. - Collaborate directly with leadership to address high-impact operational challenges and drive measurable results. - Maintain and enhance agentic systems integrated with platforms such as HubSpot, Clay, Slack, Notion, and Attention. - Hands-on experience building and deploying AI agents or automation systems in production, not just prototypes. - Deep familiarity with AI-native development tools (e.g., Claude Code, Replit, Cursor, v0, or similar). - Proficiency with APIs, low-code/no-code platforms, and large language model orchestration frameworks. - Ability to move efficiently from concept to production with minimal oversight. - Excellent written communication skills for effective asynchronous collaboration across teams and time zones. - (Preferred) Background in SaaS or DTC operations and familiarity with the Shopify ecosystem. Qualifications - Hands-on experience building and deploying AI agents or automation systems in production, not just prototypes. - Deep familiarity with AI-native development tools (e.g., Claude Code, Replit, Cursor, v0, or similar). - Proficiency with APIs, low-code/no-code platforms, and large language model orchestration frameworks. - Excellent written communication skills for effective asynchronous collaboration across teams and time zones. - (Preferred) Background in SaaS or DTC operations and familiarity with the Shopify ecosystem. Requirements - $7,000 - $12,000 USD/month - 15 days PTO

• Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps. • Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit). • Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs. • Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability. • Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.

• Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps. • Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit). • Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs. • Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability. • Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.

• Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps. • Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit). • Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs. • Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability. • Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.