Marketing AI Engineer

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. Ensure data quality and governance: Design automations that handle marketing data responsibly — with attention to data quality, privacy, and auditability across all deployed workflows. Document and enable: Produce clear documentation for all deployed agents and workflows, and run internal enablement sessions to help the marketing team understand and effectively use what you have built.

Experience and qualifications
Have 3+ years of experience in marketing operations, automation engineering, or a closely related role — with a track record of building workflows or automations that measurably improved team efficiency. Have deep, hands-on knowledge of marketing processes and tools — including CRM (Salesforce), marketing automation, campaign ops, analytics, and content workflows. A marketing ops practitioner who has grown into building automations is a strong fit. Be experienced with no-code/low-code automation platforms (e.g., Make, Zapier, n8n) and comfortable extending them with scripting when needed (Python and/or JavaScript). Have working familiarity with AI agent frameworks (e.g., LangChain, Claude Agent SDK, OpenAI Assistants) or a demonstrated ability and appetite to ramp quickly. Be experienced integrating with third-party APIs and working with marketing data structures (e.g., Salesforce, HubSpot, GA, Marketo). Have strong analytical skills and experience building performance dashboards and reporting for deployed automations. Be a clear communicator who can explain what an automation does — and why it matters — to non-technical stakeholders, and translate their requirements into precise technical specifications. Bring intellectual curiosity and a bias to build — you stay current on the fast-moving AI landscape and bring that knowledge into your everyday work. Hold a Bachelor’s degree in Marketing, Business, Computer Science, or a related field.