Marketing AI Engineer

Sonarsource·Genevamid

In short

→Ingeniero de IA que construye agentes automáticos para optimizar procesos de marketing.
→Trabajas con equipos de marketing para identificar oportunidades de automatización y desarrollar soluciones de IA escalables.
→Destaca que tus herramientas permiten reducir errores, ahorrar tiempo y mejorar la personalización a gran escala.

Experiencia trabajando con equipos internacionales o con flujo de trabajo en inglés.

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What they ask for

✓Dominio profundo de procesos de marketing (ventas, contenido, campañas, lead routing).
✓Experiencia en diseño y desarrollo de agentes de IA o flujos automatizados.
✓Capacidad para trabajar con stakeholders de marketing y traducir sus necesidades en soluciones técnicas.
✓Capacidad para medir, reportar y demostrar el impacto de las automatizaciones.
✓Conocimiento en herramientas de integración como Zapier, Make (Integromat), Slack, Salesforce.
✓Capacidad de iterar, monitorear y mantener agentes en producción.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SonarQubeSonarQube Foundation AgentSonarSweepSonar Context AugmentationClaude CodeCodexCursorGitHub CopilotGeminiDevin

Who should you write to at Sonarsource?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description As Sonar’s Marketing AI Engineer, you design, build, and maintain the AI agents and automated workflows that multiply the impact of the marketing function. You spend time with marketing stakeholders to understand their work in depth, identify where automation creates real leverage, and then build and iterate until it works well. You produce clear reporting on efficiency and impact, keeping marketing leadership informed on what the automations are actually delivering. The best person for this role might be a marketing ops veteran who has taught themselves to build with AI, or an automation engineer who has gone deep on how marketing actually works. Either way, what matters is the combination: you understand marketing processes from the inside, and you can build reliable automations that make those processes faster, smarter, and more scalable. What you will do Map and prioritize automation opportunities: Work closely with marketing teams to develop a deep understanding of their day-to-day processes — identifying where AI agents and automated workflows can eliminate manual work, reduce errors, or unlock capabilities that weren’t previously possible. Design and build AI agents: Develop AI agents and automated workflows that streamline marketing processes — from content production and campaign operations to reporting, lead routing, and personalization at scale. Deploy and maintain automations: Own the full lifecycle of deployed agents — from initial release through ongoing monitoring, debugging, and iteration — ensuring reliability and performance as usage grows. Produce efficiency and impact reporting: Track and report on workflow automation metrics — time saved, error rates, throughput, and business impact — delivering regular dashboards and summaries to marketing leadership. Stay current on AI tooling: Continuously evaluate new AI models, agent frameworks, and automation platforms — bringing a clear point of view on what Sonar marketing should adopt, experiment with, or build on next. Partner with Marketing Tooling & AI Operations: Collaborate closely with the Marketing Tooling & AI Operations Manager to understand the existing tool stack, ensure automations integrate reliably with it, and drive adoption of new AI-powered capabilities.

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